Skip to main content
Glama

Finance Skills for AI Agents

A comprehensive collection of AI agent skills for financial professionals, accountants, and finance teams. Built for technical finance professionals who want AI coding agents to help with financial analysis, auditing, compliance, reporting, and financial engineering. Works with Claude Code, OpenAI Codex, Cursor, Windsurf, and any agent that supports the Agent Skills spec.

Built by Ayotunde Oso (aka GAJETOso) for accountants in oil & gas, banking, insurance, and corporate finance. Need specific help? Open an issue — this is a community-driven resource.

Contributions welcome! Found a way to improve a skill or have a new one to add? Open a PR.

Run into a problem or have a question? Open an issue — we're happy to help.

What are Skills?

Skills are markdown files that give AI agents specialized knowledge and workflows for specific financial tasks. When you add these to your project, your agent can recognize when you're working on a financial task and apply the right accounting standards, compliance frameworks, and best practices.

Related MCP server: Jaz AI

How Skills Work Together

Skills reference each other and build on shared financial context. Most skills check for foundational knowledge (accounting standards, regulatory requirements) before executing specialized tasks.

                            ┌──────────────────────────────────────┐
                            │      Compliance & Standards          │
                            │    (IFRS, GAAP, Local Regulations)   │
                            └──────────────┬───────────────────────┘
                                           │
    ┌──────────────┬────────────┬──────────┼──────────┬──────────────┬──────────────┐
    ▼              ▼            ▼          ▼          ▼              ▼              ▼
┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────┐ ┌──────────┐ ┌─────────────┐ ┌───────────┐
│ Financial│ │  Audit & │ │  Tax &   │ │ Risk │ │Corporate │ │  Industry   │ │ Advanced  │
│ Analysis │ │Compliance│ │Regulatory│ │      │ │ Finance  │ │  Specific   │ │ Analytics │
├──────────┤ ├──────────┤ ├──────────┤ ├──────┤ ├──────────┤ ├─────────────┤ ├───────────┤
│fin-anlys │ │audit-chk │ │tax-plan  │ │risk  │ │corp-cons │ │oil-gas-val  │ │ai-anomaly │
│budget-fc │ │forensic  │ │revenue-  │ │treasury││lbo-model │ │insurance-res│ │nlp-sent   │
│statement │ │auto-recon│ │ recog    │ │      │ │startup-  │ │banking-comp │ │predictive │
│  -prep   │ │          │ │          │ │      │ │ valuation│ │crypto-acct  │ │           │
│invest-   │ │          │ │          │ │      │ │debt-restr│ │variance-ana │ │           │
│ analysis │ │          │ │          │ │      │ │wacc-comp │ │product-prof │ │           │
│          │ │          │ │          │ │      │ │ecl-comp  │ │earned-value │ │           │
│          │ │          │ │          │ │      │ │aro-comp  │ │             │ │           │
│          │ │          │ │          │ │      │ │esg-report│ │             │ │           │
└────┬─────┘ └────┬─────┘ └────┬─────┘ └──┬───┘└────┬─────┘ └──────┬──────┘ └─────┬─────┘
     │            │            │           │         │              │              │
     └────────────┴─────┬──────┴───────────┴─────────┴──────────────┴──────────────┘
                        │
         Skills cross-reference:
           financial-analysis ↔ budget-forecast ↔ risk-assessment
           audit-checklist ↔ forensic-accounting ↔ ai-anomaly-detection
           statement-preparation ↔ corporate-consolidation ↔ revenue-recognition
           oil-gas-valuation ↔ aro-computation ↔ ecl-computation

Available Skills

Financial Analysis & Reporting

Skill

Description

financial-analysis

Comprehensive financial statement analysis using ratio analysis, trend analysis, and performance metrics...

budget-forecast

Build budgets, forecasts, and variance analysis models with rolling forecasts and scenario planning...

statement-preparation

Prepare financial statements (Income Statement, Balance Sheet, Cash Flow) following IFRS/GAAP standards...

investment-analysis

Evaluate investment opportunities using NPV, IRR, payback period, and sensitivity analysis...

product-profitability

Analyze product-line profitability, contribution margins, and cost allocation for decision-making...

Audit & Compliance

Skill

Description

audit-checklist

Generate comprehensive audit checklists, working papers, and test procedures for internal/external audits...

forensic-accounting

Detect fraud, analyze suspicious transactions, and conduct forensic investigations with data analytics...

automated-reconciliation

Automate bank reconciliations, intercompany eliminations, and account reconciliations at scale...

ai-anomaly-detection

Use machine learning to detect unusual transactions, outliers, and potential fraud in financial data...

Tax & Regulatory

Skill

Description

tax-planning

Optimize tax positions, plan tax strategies, and ensure compliance with local tax regulations...

revenue-recognition

Apply IFRS 15 / ASC 606 revenue recognition standards for contracts and performance obligations...

esg-reporting

Prepare ESG (Environmental, Social, Governance) reports and sustainability disclosures...

banking-compliance

Navigate Basel III, capital adequacy requirements, and banking regulatory compliance frameworks...

Risk & Treasury

Skill

Description

risk-assessment

Identify, quantify, and manage financial risks including credit, market, operational, and liquidity risks...

treasury-management

Optimize cash management, working capital, liquidity forecasting, and funding strategies...

ecl-computation

Calculate Expected Credit Loss (ECL) under IFRS 9 for financial instruments and loan portfolios...

Corporate Finance

Skill

Description

corporate-consolidation

Prepare consolidated financial statements for group entities with elimination entries...

lbo-modeling

Build leveraged buyout (LBO) models with sources & uses, debt schedules, and returns analysis...

startup-valuation

Value early-stage companies using DCF, comparables, venture capital method, and scorecard approaches...

debt-restructuring

Analyze debt restructuring scenarios, workout agreements, and distressed company turnarounds...

wacc-computation

Calculate Weighted Average Cost of Capital (WACC) for valuation and capital budgeting decisions...

venture-debt

Analyze venture debt facilities, warrants, and alternative financing structures for startups...

aro-computation

Compute Asset Retirement Obligations (ARO) for decommissioning and environmental liabilities...

Industry-Specific

Skill

Description

oil-gas-valuation

Value oil & gas reserves using NPV of future cash flows, reserve-based lending, and production forecasts...

insurance-reserving

Calculate insurance loss reserves, IBNR (Incurred But Not Reported), and actuarial estimates...

crypto-accounting

Account for cryptocurrency transactions, digital assets, NFTs, and DeFi protocols under emerging standards...

variance-analysis

Analyze manufacturing cost variances (material, labor, overhead) for production cost control...

earned-value-mgmt

Track project financial performance using Earned Value Management (EVM) metrics and variance analysis...

Advanced Analytics

Skill

Description

nlp-earnings-sentiment

Extract sentiment and key insights from earnings calls, annual reports, and financial disclosures using NLP...

predictive-burn-rate

Forecast cash burn rates, runway, and funding requirements for startups and high-growth companies...

Installation

Use npx skills to install skills directly:

# Install all skills
npx skills add GAJETOso/financeskills

# Install specific skills
npx skills add GAJETOso/financeskills --skill financial-analysis audit-checklist

# List available skills
npx skills add GAJETOso/financeskills --list

This automatically installs to your .agents/skills/ directory (and symlinks into .claude/skills/ for Claude Code compatibility).

Option 2: Claude Code Plugin

Install via Claude Code's built-in plugin system:

# Add the marketplace
/plugin marketplace add GAJETOso/financeskills

# Install all finance skills
/plugin install finance-skills

Option 3: Clone and Copy

Clone the entire repo and copy the skills folder:

git clone https://github.com/GAJETOso/financeskills.git
cp -r financeskills/skills/* .agents/skills/

Option 4: Git Submodule

Add as a submodule for easy updates:

git submodule add https://github.com/GAJETOso/financeskills.git .agents/financeskills

Then reference skills from .agents/financeskills/skills/.

Option 5: Fork and Customize

  1. Fork this repository

  2. Customize skills for your specific industry/regulatory needs

  3. Clone your fork into your projects

Option 6: SkillKit (Multi-Agent)

Use SkillKit to install skills across multiple AI agents (Claude Code, Cursor, Copilot, etc.):

# Install all skills
npx skillkit install GAJETOso/financeskills

# Install specific skills
npx skillkit install GAJETOso/financeskills --skill financial-analysis audit-checklist

# List available skills
npx skillkit install GAJETOso/financeskills --list

Usage

Once installed, just ask your agent to help with financial tasks:

"Analyze these financial statements and calculate key ratios"
→ Uses financial-analysis skill

"Prepare IFRS 15 revenue recognition journal entries for this contract"
→ Uses revenue-recognition skill

"Build a 5-year DCF model for this company"
→ Uses investment-analysis skill

"Calculate Expected Credit Loss for this loan portfolio"
→ Uses ecl-computation skill

"Prepare consolidated financial statements for our group"
→ Uses corporate-consolidation skill

You can also invoke skills directly:

/financial-analysis
/audit-checklist
/tax-planning

Skill Categories

📊 Financial Analysis & Reporting

  • financial-analysis - Ratio analysis, trend analysis, performance metrics

  • budget-forecast - Budgeting, forecasting, variance analysis

  • statement-preparation - Income Statement, Balance Sheet, Cash Flow

  • investment-analysis - NPV, IRR, investment evaluation

  • product-profitability - Product-line profitability analysis

🔍 Audit & Compliance

  • audit-checklist - Audit procedures and working papers

  • forensic-accounting - Fraud detection and investigation

  • automated-reconciliation - Account reconciliation automation

  • ai-anomaly-detection - ML-based anomaly detection

📋 Tax & Regulatory

  • tax-planning - Tax optimization and compliance

  • revenue-recognition - IFRS 15 / ASC 606 compliance

  • esg-reporting - Sustainability and ESG disclosures

  • banking-compliance - Basel III and banking regulations

⚠️ Risk & Treasury

  • risk-assessment - Financial risk identification and management

  • treasury-management - Cash and liquidity management

  • ecl-computation - IFRS 9 Expected Credit Loss

🏢 Corporate Finance

  • corporate-consolidation - Group consolidation

  • lbo-modeling - Leveraged buyout models

  • startup-valuation - Early-stage company valuation

  • debt-restructuring - Workout and restructuring analysis

  • wacc-computation - Cost of capital calculations

  • venture-debt - Alternative financing structures

  • aro-computation - Asset retirement obligations

🏭 Industry-Specific

  • oil-gas-valuation - Reserve valuation for energy sector

  • insurance-reserving - Insurance loss reserves and IBNR

  • crypto-accounting - Digital asset accounting

  • variance-analysis - Manufacturing cost variance analysis

  • earned-value-mgmt - Project financial performance tracking

🤖 Advanced Analytics

  • nlp-earnings-sentiment - NLP for financial documents

  • predictive-burn-rate - Cash runway forecasting

Compliance & Regulatory Support

This repository includes dedicated compliance mapping for:

  • IFRS Standards - International Financial Reporting Standards

  • US GAAP - Generally Accepted Accounting Principles

  • African Frameworks - Local regulatory requirements (Nigeria, South Africa, Kenya, Ghana)

  • Industry Regulations - Banking (Basel III), Insurance (IFRS 17), Oil & Gas (IFRS 6)

See Regulatory Compliance Mapping for detailed standard-to-skill mappings.

Learning Path

🚀 Phase 1: Foundations

Get comfortable with the technical basics:

  • Python: Master Pandas, NumPy, and OpenPyXL for data manipulation

  • APIs: Connect to financial data sources (Yahoo Finance, Bloomberg, Alpha Vantage)

  • Git: Version control for financial models and collaboration

📚 Resources in /foundations

🚀 Phase 2: AI Usage

Learn to work effectively with AI agents:

  • Prompt Engineering: Craft precise instructions for complex financial reasoning

  • AI Tools: Leverage ChatGPT, Claude, GitHub Copilot, and Cursor for development

📚 Resources in /ai-usage

🚀 Phase 3: Skill Building

Apply specialized financial skills:

  • Start with foundational skills (financial-analysis, budget-forecast)

  • Progress to compliance skills (audit-checklist, revenue-recognition)

  • Master advanced topics (corporate-consolidation, predictive analytics)

📚 All skills available in /skills

🚀 Phase 4: Real Projects

Build end-to-end financial systems:

  • AI-powered Finance Assistant: Natural language interface for financial queries

  • Automated Reporting Tool: Dynamic generation of financial statements

  • Smart Audit System: AI-driven anomaly detection in transaction logs

📚 Project templates in /projects

Repository Structure

financeskills/
├── foundations/         # Phase 1: Python, APIs, Git basics
├── ai-usage/           # Phase 2: Prompt engineering guides
├── skills/             # Phase 3: Modular skill definitions
│   ├── financial-analysis/
│   │   ├── SKILL.md           # Skill instructions
│   │   ├── evals/             # Test cases
│   │   └── references/        # Accounting standards
│   ├── audit-checklist/
│   ├── tax-planning/
│   └── [40+ other skills]/
├── compliance/         # Regulatory mapping (IFRS, GAAP, local)
├── projects/          # Phase 4: Full-scale applications
└── tools/             # Helper utilities and integrations

Use It From Any Agent

Skills (auto-trigger + explicit): SKILL.md follows the open Agent Skills spec - works in Claude Code, Codex CLI, Gemini CLI, Copilot/VS Code, Cursor, Windsurf, and any tool reading .agents/skills/. In Claude Code, invoke explicitly with /skill-name.

Slash commands: commands/ ships 52 commands - one per skill (full coverage of all 43) plus workflow commands (/reconcile, /wacc, /close-the-books, ...) with argument handling.

MCP connector: stdio (tools/mcp/server.py) or hosted HTTP (tools/mcp/http_server.py + Dockerfile, see tools/mcp/DEPLOY.md) exposing 155+ tools (every calculator across 38 skills, plus skill/standards/template readers) to ANY MCP client - zero dependencies, no network, no keys. Config snippets in tools/mcp/README.md.

Install as a CLI: pipx install git+https://github.com/GAJETOso/financeskills gives financeskills-mcp, financeskills-mcp-http, financeskills-validate, financeskills-evals.

Live data: tools/connectors/ pulls Stripe and Plaid transactions into skill-ready CSVs (each has a --mock mode). See tools/connectors/README.md.

Eval scorecard: see tools/evals/BASELINE.md. All 43 skills have file-based evals with realistic fixtures (CSV/XLSX) and code-verified expected values.

Provenance: MANIFEST.sha256 checksums all content; skill scripts are stdlib-only with no network access (see SECURITY.md).

Quality Infrastructure

Every skill is validated and testable:

  • Validator - python3 validate_skills.py enforces the full Agent Skills spec (frontmatter, evals schema, dead links, line limits), runs every script's self-test, and checks marketplace manifests against the skills on disk. CI runs it on every push.

  • Eval harness - python3 tools/evals/run_evals.py --all feeds each eval prompt (with its fixture files) to a model with the skill as system context and grades the assertions with an LLM judge. --dry-run validates schemas offline.

  • Deterministic scripts - 38 of 43 skills ship a scripts/calculate.py with self-tested functions, so agents compute with code instead of mental math.

  • Fixtures - flagship skills include realistic CSV fixtures (trial balances, lease portfolios, bank statements) with code-verified expected answers.

  • Templates - flagship skills ship output templates in assets/ for consistent memos and workpapers.

Contributing

Found a way to improve a skill? Have a new skill to suggest? PRs and issues welcome!

See CONTRIBUTING.md for guidelines on adding or improving skills.

Skill Improvement Ideas

  • Add more industry-specific skills (real estate, healthcare, manufacturing)

  • Expand compliance coverage (SOX, GDPR, local African regulations)

  • Create more advanced analytics skills (time series forecasting, Monte Carlo simulation)

  • Build integration skills (QuickBooks, Xero, SAP, Oracle)

For AI Agents

If you are an AI agent (Claude, Cursor, etc.), please refer to AGENTS.md for interaction guidelines and CLAUDE.md for project rules.

License

MIT - Use these however you want.

About the Author

Built by Ayotunde Oso (aka GAJETOso) — Accountant in the oil & gas industry (Nigeria), with experience across IFRS, corporate finance, audit, and financial systems. Currently building AI-powered finance tools for accounting professionals in emerging markets.

Connect: GitHub

Roadmap

✅ Completed

  • 43 core financial skills

  • IFRS/GAAP compliance mapping

  • Industry-specific skills (oil & gas, banking, insurance)

  • AI agent integration (Claude Code, Cursor)

🚧 In Progress

  • Interactive skill tutorials with Python notebooks

  • Integration with accounting software APIs (QuickBooks, Xero)

  • Video walkthroughs for each skill

  • Mobile app for on-the-go financial analysis

🔮 Future

  • Community skill marketplace

  • Certification program for AI-powered accounting

  • Multi-language support (French, Portuguese for African markets)

  • Real-time collaboration features

Support

Having issues? Questions? Want to contribute?

🤖 For AI Agents

If you are an AI agent (Claude, Cursor, etc.), please refer to AGENTS.md for interaction guidelines and CLAUDE.md for project rules.


Built for accountants, by an accountant. Let's revolutionize financial analysis with AI.

Available Tools

178 tools
ai_anomaly_detection__iqr_anomaliesD

[ai-anomaly-detection] iqr_anomalies

Inputs: values (required), k.

ai_anomaly_detection__rolling_deviation_anomaliesB

[ai-anomaly-detection] Flag points deviating from their trailing-window mean by > threshold sigmas.

Inputs: values (required), window, threshold.

ai_anomaly_detection__zscore_anomaliesB

[ai-anomaly-detection] Indices of values beyond threshold standard deviations from the mean.

Inputs: values (required), threshold.

aro_computation__accretion_scheduleC

[aro-computation] Year-by-year unwinding; closing balance equals the settlement amount.

Inputs: years (required), discount (required), opening_pv (required).

aro_computation__initial_aroC

[aro-computation] PV of an inflated future restoration cost.

Inputs: years (required), discount (required), inflation (required), current_cost (required).

aro_computation__revision_adjustmentC

[aro-computation] IFRIC 1 revision: returns the adjustment to BOTH provision and asset (+ = increase).

Inputs: discount (required), years_remaining (required), old_remaining_pv (required), new_cost_estimate (required), +1 more.

automated_reconciliation__exact_matchA

[automated-reconciliation] Pair items with equal amount and reference. Each item used once.

Inputs: side_a (required), side_b (required).

automated_reconciliation__one_to_many_matchB

[automated-reconciliation] Find a combination of candidates summing to the target amount (batched settlements).

Inputs: target (required), candidates (required), tol, max_combo.

automated_reconciliation__tolerance_matchB

[automated-reconciliation] Pair items whose amounts differ by <= tol; returns (a, b, difference).

Inputs: tol (required), side_a (required), side_b (required).

banking_compliance__buffer_checkD

[banking-compliance] buffer_check

Inputs: cet1_ratio (required), dsib, minimum, conservation, +1 more.

banking_compliance__capital_ratioC

[banking-compliance] Works for CET1, Tier 1, or Total capital against risk-weighted assets.

Inputs: rwa (required), capital (required).

banking_compliance__lcrD

[banking-compliance] lcr

Inputs: hqla (required), net_outflows_30d (required).

banking_compliance__leverage_ratioD

[banking-compliance] leverage_ratio

Inputs: tier1 (required), total_exposure (required).

banking_compliance__nsfrD

[banking-compliance] nsfr

Inputs: required_stable_funding (required), available_stable_funding (required).

banking_compliance__rwa_from_exposuresD

[banking-compliance] exposures: list of (exposure_amount, risk_weight).

Inputs: exposures (required).

budget_forecast__cagrD

[budget-forecast] cagr

Inputs: years (required), ending (required), beginning (required).

budget_forecast__driver_based_budgetD

[budget-forecast] driver_based_budget

Inputs: price (required), units (required), fixed_costs (required), variable_cost_pct (required).

budget_forecast__project_revenueD

[budget-forecast] project_revenue

Inputs: base (required), growth_rates (required).

budget_forecast__scenario_deltaD

[budget-forecast] scenario_delta

Inputs: scenario (required), base_case (required).

company_valuation__enterprise_valueD

[company-valuation] enterprise_value

Inputs: fcfs (required), wacc (required), terminal_value (required).

company_valuation__equity_valueD

[company-valuation] equity_value

Inputs: ev (required), net_debt (required), minority_interest.

company_valuation__npvC

[company-valuation] NPV of cashflows starting at t=1.

Inputs: rate (required), cashflows (required).

company_valuation__terminal_value_exit_multipleD

[company-valuation] terminal_value_exit_multiple

Inputs: multiple (required), final_ebitda (required).

company_valuation__terminal_value_gordonD

[company-valuation] terminal_value_gordon

Inputs: g (required), wacc (required), final_fcf (required).

corporate_consolidation__consolidated_equity_checkC

[corporate-consolidation] Group share of equity - quick reasonableness check.

Inputs: pct_owned (required), parent_equity (required), sub_post_acq_profit (required), goodwill_impairment.

corporate_consolidation__goodwill_fullC

[corporate-consolidation] Full goodwill (IFRS 3 option / US GAAP requirement).

Inputs: consideration (required), nci_fair_value (required), net_identifiable_assets (required).

corporate_consolidation__goodwill_partialC

[corporate-consolidation] Partial goodwill: NCI measured at proportionate share of net assets.

Inputs: pct_acquired (required), consideration (required), net_identifiable_assets (required).

corporate_consolidation__nci_at_acquisitionD

[corporate-consolidation] nci_at_acquisition

Inputs: method (required), pct_nci (required), nci_fair_value (required), net_identifiable_assets (required).

corporate_consolidation__nci_share_of_profitD

[corporate-consolidation] nci_share_of_profit

Inputs: pct_nci (required), subsidiary_profit (required), urp_adjustments.

credit_analysis__covenant_headroomC

[credit-analysis] Headroom as fraction of covenant level. Positive = compliant.

Inputs: actual (required), covenant (required), lower_is_better.

credit_analysis__dscrB

[credit-analysis] Cash flow available for debt service / total debt service.

Inputs: cfads (required), debt_service (required).

credit_analysis__fixed_charge_coverageB

[credit-analysis] (EBITDA - maintenance capex) / (interest + scheduled principal + leases).

Inputs: capex (required), ebitda (required), fixed_charges (required).

credit_analysis__interest_coverageD

[credit-analysis] interest_coverage

Inputs: ebit (required), interest (required).

credit_analysis__net_leverageD

[credit-analysis] net_leverage

Inputs: cash (required), ebitda (required), total_debt (required).

crypto_accounting__cost_less_impairmentB

[crypto-accounting] IAS 38 cost model: impair to lowest observed; no reversal above carrying (simplified - IFRS allows reversal to the impaired-cost ceiling).

Inputs: cost (required), current_price (required), lowest_observed (required).

crypto_accounting__fair_value_remeasurementC

[crypto-accounting] US GAAP (ASU 2023-08): measure at fair value, changes through net income.

Inputs: carrying (required), fair_value (required).

crypto_accounting__realized_gain_fifoC

[crypto-accounting] lots: (units, unit_cost) in acquisition order.

Inputs: lots (required), sale_price (required), units_sold (required).

cvp_breakeven__breakeven_salesD

[cvp-breakeven] breakeven_sales

Inputs: cm_ratio (required), fixed_costs (required).

cvp_breakeven__breakeven_unitsD

[cvp-breakeven] breakeven_units

Inputs: price (required), fixed_costs (required), variable_cost (required).

cvp_breakeven__contribution_marginD

[cvp-breakeven] contribution_margin

Inputs: price (required), variable_cost (required).

cvp_breakeven__degree_of_operating_leverageD

[cvp-breakeven] degree_of_operating_leverage

Inputs: total_cm (required), operating_income (required).

cvp_breakeven__margin_of_safetyD

[cvp-breakeven] Returned as a ratio of actual sales.

Inputs: actual_sales (required), breakeven_sales_value (required).

cvp_breakeven__units_for_target_profitD

[cvp-breakeven] units_for_target_profit

Inputs: price (required), target (required), fixed_costs (required), variable_cost (required).

debt_payoff__avalanche_scheduleD

[debt-payoff] avalanche_schedule

Inputs: debts (required), monthly_budget (required).

debt_payoff__interest_savingsD

[debt-payoff] interest_savings

Inputs: debts (required), monthly_budget (required).

debt_payoff__monthly_interestD

[debt-payoff] monthly_interest

Inputs: balance (required), annual_rate (required).

debt_payoff__snowball_scheduleD

[debt-payoff] snowball_schedule

Inputs: debts (required), monthly_budget (required).

debt_restructuring__haircut_pctD

[debt-restructuring] haircut_pct

Inputs: new_value (required), face_value (required).

debt_restructuring__npv_of_termsB

[debt-restructuring] PV of interest-only payments plus bullet principal, at the discount rate.

Inputs: rate (required), years (required), principal (required), discount_rate (required).

debt_restructuring__waterfallC

[debt-restructuring] tranches: (name, claim) in priority order. Returns recovery per tranche.

Inputs: tranches (required), enterprise_value (required).

deferred_tax__deferred_tax_balanceC

[deferred-tax] DTL for taxable differences, DTA for deductible ones, at enacted rate.

Inputs: tax_rate (required), temp_diff (required).

deferred_tax__effective_tax_rateD

[deferred-tax] effective_tax_rate

Inputs: current_tax (required), pretax_income (required), deferred_tax_expense (required).

deferred_tax__rate_change_adjustmentB

[deferred-tax] P&L (or OCI) impact of remeasuring the deferred balance at a new enacted rate.

Inputs: new_rate (required), old_rate (required), temp_diff (required).

deferred_tax__temporary_differenceC

[deferred-tax] Positive = taxable temporary difference (DTL); negative = deductible (DTA).

Inputs: tax_base (required), carrying_amount (required).

earned_value_mgmt__eac_atypicalB

[earned-value-mgmt] EAC assuming remaining work at budgeted rates (variance was one-off).

Inputs: ac (required), ev (required), bac (required).

earned_value_mgmt__eac_combinedC

[earned-value-mgmt] EAC where both cost and schedule performance affect remaining work.

Inputs: ac (required), ev (required), bac (required), cpi (required), +1 more.

earned_value_mgmt__eac_cpiB

[earned-value-mgmt] EAC assuming current cost performance continues.

Inputs: bac (required), cpi (required).

earned_value_mgmt__tcpiC

[earned-value-mgmt] Cost performance needed on remaining work to hit BAC.

Inputs: ac (required), ev (required), bac (required).

earned_value_mgmt__variancesD

[earned-value-mgmt] variances

Inputs: ac (required), ev (required), pv (required).

ecl_computation__ecl_single_periodB

[ecl-computation] ECL for one period: PD x LGD x EAD x discount.

Inputs: ead (required), lgd (required), pd_ (required), discount_factor.

ecl_computation__lifetime_eclC

[ecl-computation] Lifetime ECL: sum of marginal-PD-weighted discounted losses per period (t starts at 1).

Inputs: eir (required), eads (required), lgds (required), marginal_pds (required).

ecl_computation__provision_matrixC

[ecl-computation] Simplified-approach provision per aging bucket; includes 'total'.

Inputs: loss_rates (required), aging_balances (required).

ecl_computation__scenario_weighted_eclC

[ecl-computation] Probability-weighted ECL across macro scenarios; weights must sum to 1.

Inputs: weights (required), scenario_ecls (required).

financial_analysis__dupontC

[financial-analysis] ROE = margin x asset turnover x leverage.

Inputs: assets (required), equity (required), revenue (required), net_income (required).

financial_analysis__liquidity_ratiosD

[financial-analysis] liquidity_ratios

Inputs: inventory (required), current_assets (required), current_liabilities (required).

financial_analysis__profitability_ratiosD

[financial-analysis] profitability_ratios

Inputs: cogs (required), assets (required), equity (required), revenue (required), +1 more.

financial_analysis__safe_divC

[financial-analysis] None when the denominator is zero/negative-meaningless rather than raising.

Inputs: den (required), num (required).

financial_analysis__solvency_ratiosD

[financial-analysis] solvency_ratios

Inputs: ebit (required), equity (required), interest (required), total_liabilities (required).

fixed_asset_accounting__disposal_resultD

[fixed-asset-accounting] Positive = gain, negative = loss.

Inputs: cost (required), proceeds (required), accumulated_depreciation (required).

fixed_asset_accounting__double_declining_scheduleC

[fixed-asset-accounting] Annual DDB charges; never depreciates below residual.

Inputs: cost (required), residual (required), life_years (required).

fixed_asset_accounting__straight_lineD

[fixed-asset-accounting] straight_line

Inputs: cost (required), residual (required), life_years (required).

fixed_asset_accounting__units_of_productionD

[fixed-asset-accounting] units_of_production

Inputs: cost (required), residual (required), total_units (required), units_this_period (required).

forensic_accounting__benford_testD

[forensic-accounting] benford_test

Inputs: values (required).

forensic_accounting__first_digitD

[forensic-accounting] first_digit

Inputs: value (required).

forensic_accounting__round_number_ratioC

[forensic-accounting] Share of amounts that are exact multiples of base - a fraud tell.

Inputs: values (required), base.

get_skillA

Return the full SKILL.md instructions for a skill (use list_skills for names).

Inputs: name (required).

get_standardA

Return a standards summary, e.g. family='ifrs', name='ifrs-16'. Summaries carry an as_of date - verify before decision-grade use.

Inputs: name (required), family (required).

get_templateA

Return an output template from a skill's assets/, e.g. skill='wacc-computation'.

Inputs: skill (required).

insurance_reserving__development_factorsA

[insurance-reserving] Volume-weighted age-to-age factors from a cumulative paid/incurred triangle. triangle[i] = accident year i's cumulative values by development period.

Inputs: triangle (required).

insurance_reserving__ibnrD

[insurance-reserving] ibnr

Inputs: ultimates (required), paid_to_date (required).

insurance_reserving__project_ultimatesD

[insurance-reserving] project_ultimates

Inputs: factors (required), triangle (required).

intercompany_accounting__elimination_entryC

[intercompany-accounting] Eliminate IC revenue/COGS and defer unrealized margin in inventory.

Inputs: ic_revenue (required), unrealized_profit (required).

intercompany_accounting__match_balancesC

[intercompany-accounting] Compare IC receivable on A vs IC payable on B per counterparty key.

Inputs: entity_a_books (required), entity_b_books (required), tolerance.

intercompany_accounting__unrealized_profit_in_inventoryC

[intercompany-accounting] Profit to eliminate on inventory still held within the group.

Inputs: cost (required), ic_sale_price (required), pct_still_held (required).

inventory_costing__fifo_cogsB

[inventory-costing] purchases: list of (units, unit_cost) in order. Returns COGS and ending value.

Inputs: purchases (required), units_sold (required).

inventory_costing__lcnrv_writedownB

[inventory-costing] IAS 2 lower of cost and NRV writedown (0 if NRV >= cost).

Inputs: nrv (required), cost (required).

inventory_costing__lifo_cogs_periodicD

[inventory-costing] lifo_cogs_periodic

Inputs: purchases (required), units_sold (required).

inventory_costing__weighted_average_cogsD

[inventory-costing] weighted_average_cogs

Inputs: purchases (required), units_sold (required).

investment_analysis__irrC

[investment-analysis] Bisection IRR; requires a sign change over [lo, hi].

Inputs: cashflows (required), hi, lo, tol.

investment_analysis__npvD

[investment-analysis] cashflows[0] at t=0 (usually negative).

Inputs: rate (required), cashflows (required).

investment_analysis__payback_periodC

[investment-analysis] Years to recover the t=0 outflow (fractional, undiscounted).

Inputs: cashflows (required).

investment_analysis__profitability_indexD

[investment-analysis] profitability_index

Inputs: rate (required), cashflows (required).

journal_entry__prorate_accrualD

[journal-entry] prorate_accrual

Inputs: days_elapsed (required), days_in_month (required), monthly_amount (required).

journal_entry__reversalC

[journal-entry] Flip Dr/Cr for an accrual reversal.

Inputs: lines (required).

journal_entry__validate_entryA

[journal-entry] lines: [{'account': str, 'dr': float, 'cr': float}]. Checks Dr = Cr and no dual-sided lines.

Inputs: lines (required).

lbo_modeling__run_lboD

[lbo-modeling] run_lbo

Inputs: a (required).

lease_accounting__amortization_scheduleB

[lease-accounting] Year-by-year liability rollforward for payments in arrears.

Inputs: rate (required), payment (required), term_years (required).

lease_accounting__lease_liabilityC

[lease-accounting] PV of level lease payments at the discount rate (IBR or implicit rate).

Inputs: rate (required), payment (required), term_years (required), in_arrears.

lease_accounting__rou_depreciationC

[lease-accounting] Straight-line ROU depreciation (no residual).

Inputs: rou_asset (required), term_years (required).

list_skillsA

List all FinanceSkills with their trigger descriptions.

Inputs: no named parameters.

list_standardsA

List available accounting/auditing standards summaries (IFRS, IAS, US GAAP ASC, IPSAS, ISA, Basel, ESG...).

Inputs: no named parameters.

net_worth_tracker__asset_allocationD

[net-worth-tracker] asset_allocation

Inputs: assets (required).

net_worth_tracker__debt_to_asset_ratioD

[net-worth-tracker] debt_to_asset_ratio

Inputs: assets (required), liabilities (required).

net_worth_tracker__liquid_asset_ratioD

[net-worth-tracker] liquid_asset_ratio

Inputs: total_assets (required), liquid_assets (required).

net_worth_tracker__net_worthD

[net-worth-tracker] net_worth

Inputs: assets (required), liabilities (required).

net_worth_tracker__period_changeD

[net-worth-tracker] period_change

Inputs: current_nw (required), previous_nw (required).

oil_gas_valuation__decline_productionC

[oil-gas-valuation] Annual production volumes under constant exponential decline.

Inputs: years (required), decline (required), initial_rate (required).

oil_gas_valuation__netbackD

[oil-gas-valuation] netback

Inputs: price (required), royalty_pct (required), opex_per_unit (required).

oil_gas_valuation__pv10C

[oil-gas-valuation] SEC-style PV-10: discounted net cashflows from year 1.

Inputs: volumes (required), netback_per_unit (required), rate.

oil_gas_valuation__reserves_to_productionC

[oil-gas-valuation] R/P life in years.

Inputs: reserves (required), annual_production (required).

personal_budgeting__categorise_vs_targetD

[personal-budgeting] categorise_vs_target

Inputs: income (required), actual_needs (required), actual_wants (required), actual_savings (required).

personal_budgeting__fifty_thirty_twentyD

[personal-budgeting] fifty_thirty_twenty

Inputs: monthly_income (required).

personal_budgeting__savings_rateD

[personal-budgeting] savings_rate

Inputs: monthly_income (required), monthly_savings (required).

personal_budgeting__zero_based_budgetD

[personal-budgeting] zero_based_budget

Inputs: expenses (required), monthly_income (required).

predictive_burn_rate__apply_collections_curveA

[predictive-burn-rate] Convert invoicing into expected cash receipts via a lag distribution. curve[k] = share collected k months after invoicing; should sum to <= 1 (residual = bad debt).

Inputs: curve (required), invoiced_by_month (required).

predictive_burn_rate__growth_adjusted_runwayC

[predictive-burn-rate] Months until cash drops below floor when burn grows at a monthly rate.

Inputs: cash (required), current_burn (required), monthly_growth (required), floor, +1 more.

predictive_burn_rate__net_burnD

[predictive-burn-rate] net_burn

Inputs: collections (required), gross_outflows (required).

predictive_burn_rate__simple_runwayA

[predictive-burn-rate] Months of runway at constant burn. Returns inf if cash-flow positive.

Inputs: cash (required), avg_net_burn (required).

product_profitability__allocate_costsB

[product-profitability] Allocate a shared cost pool pro-rata to a driver (revenue, units, hours...).

Inputs: drivers (required), shared_cost (required).

product_profitability__product_pnlD

[product-profitability] product_pnl

Inputs: revenue (required), direct_costs (required), allocated_costs (required).

product_profitability__unit_economicsD

[product-profitability] unit_economics

Inputs: cac (required), arpu (required), variable_cost_per_user (required).

retirement_planning__future_valueB

[retirement-planning] FV of lump sum + regular monthly contributions compounded monthly.

Inputs: years (required), principal (required), annual_rate (required), monthly_contribution.

retirement_planning__nest_egg_targetD

[retirement-planning] nest_egg_target

Inputs: desired_annual_income (required), rate.

retirement_planning__replacement_ratioD

[retirement-planning] replacement_ratio

Inputs: retirement_income (required), pre_retirement_income (required).

retirement_planning__required_monthly_contributionB

[retirement-planning] Monthly contribution needed to reach target given existing principal.

Inputs: years (required), target (required), principal (required), annual_rate (required).

retirement_planning__safe_withdrawalD

[retirement-planning] safe_withdrawal

Inputs: portfolio (required), rate.

revenue_recognition__allocate_transaction_priceC

[revenue-recognition] Allocate to performance obligations pro-rata to standalone selling prices.

Inputs: ssps (required), total_price (required).

revenue_recognition__contract_liabilityD

[revenue-recognition] contract_liability

Inputs: billed (required), recognized (required).

revenue_recognition__over_time_revenueD

[revenue-recognition] over_time_revenue

Inputs: allocated (required), total_months (required), months_elapsed (required).

revenue_recognition__significant_financing_splitB

[revenue-recognition] Split a deferred receipt into cash selling price (revenue) and interest.

Inputs: rate (required), years (required), deferred_price (required).

risk_assessment__annualized_volatilityD

[risk-assessment] annualized_volatility

Inputs: periodic_returns (required), periods_per_year.

risk_assessment__historical_varC

[risk-assessment] Loss threshold (positive number) at the given confidence, from history.

Inputs: returns (required), confidence.

risk_assessment__minimum_variance_hedge_ratioD

[risk-assessment] minimum_variance_hedge_ratio

Inputs: corr (required), sigma_spot (required), sigma_future (required).

risk_assessment__parametric_varC

[risk-assessment] One-period Gaussian VaR in currency terms.

Inputs: mu (required), sigma (required), portfolio_value (required), confidence.

startup_valuation__berkusD

[startup-valuation] berkus

Inputs: team (required), rollout (required), prototype (required), sound_idea (required), +2 more.

startup_valuation__dilutionC

[startup-valuation] Founder ownership after the round.

Inputs: new_money (required), post_money (required), founder_pct (required).

startup_valuation__vc_methodC

[startup-valuation] Post-money = exit / target return multiple; ownership = investment / post-money.

Inputs: exit_value (required), investment (required), target_multiple (required).

startup_valuation__vc_method_irrD

[startup-valuation] vc_method_irr

Inputs: years (required), exit_value (required), investment (required), required_irr (required).

statement_preparation__cash_reconciliationD

[statement-preparation] cash_reconciliation

Inputs: cff (required), cfi (required), cfo (required), opening_cash (required).

statement_preparation__financing_cash_flowD

[statement-preparation] financing_cash_flow

Inputs: debt_drawn (required), debt_repaid (required), dividends_paid (required), equity_issued.

statement_preparation__investing_cash_flowD

[statement-preparation] investing_cash_flow

Inputs: capex (required), acquisitions, disposal_proceeds.

statement_preparation__operating_cash_flow_indirectC

[statement-preparation] Deltas are (closing - opening). AR/inventory increases consume cash.

Inputs: net_income (required), depreciation (required), delta_payables (required), delta_inventory (required), +2 more.

tax_efficient_investing__after_tax_future_valueB

[tax-efficient-investing] FV of a lump sum in a taxable account where gains are taxed annually.

Inputs: years (required), principal (required), annual_tax_rate (required), gross_annual_rate (required).

tax_efficient_investing__roth_vs_traditionalC

[tax-efficient-investing] Compare after-tax wealth from Roth vs. traditional contribution. Roth: contribute post-tax dollars, withdraw tax-free. Traditional: contribute pre-tax dollars, pay tax on withdrawal.

Inputs: years (required), contribution (required), future_tax_rate (required), current_tax_rate (required), +1 more.

tax_efficient_investing__tax_drag_costD

[tax-efficient-investing] tax_drag_cost

Inputs: years (required), principal (required), annual_tax_rate (required), gross_annual_rate (required).

tax_efficient_investing__tax_equivalent_yieldC

[tax-efficient-investing] Gross yield a taxable bond must offer to match a tax-free bond.

Inputs: tax_free_yield (required), marginal_tax_rate (required).

tax_efficient_investing__tax_free_future_valueA

[tax-efficient-investing] FV of a lump sum in a tax-advantaged account (Roth / ISA) — no annual tax drag.

Inputs: years (required), principal (required), gross_annual_rate (required).

tax_planning__deferral_benefitC

[tax-planning] PV saving from postponing a tax payment.

Inputs: tax_amount (required), discount_rate (required), years_deferred (required).

tax_planning__effective_rateD

[tax-planning] effective_rate

Inputs: tax (required), income (required).

tax_planning__marginal_rateD

[tax-planning] marginal_rate

Inputs: income (required), brackets (required).

tax_planning__progressive_taxD

[tax-planning] brackets: (upper_bound, rate) ascending; last bound may be float('inf').

Inputs: income (required), brackets (required).

three_statement_modeling__balance_checkD

[three-statement-modeling] balance_check

Inputs: total_assets (required), total_equity (required), total_liabilities (required), tolerance.

three_statement_modeling__cash_tiesD

[three-statement-modeling] cash_ties

Inputs: bs_cash (required), cf_closing_cash (required), tolerance.

three_statement_modeling__project_yearB

[three-statement-modeling] Minimal linked projection. prior: revenue, cash, ppe, debt, equity, retained_earnings. assump: growth, ebitda_margin, da_pct_rev, capex_pct_rev, interest_rate, tax_rate, payout.

Inputs: prior (required), assump (required).

three_statement_modeling__retained_earnings_rollforwardD

[three-statement-modeling] retained_earnings_rollforward

Inputs: dividends (required), net_income (required), opening_re (required).

treasury_management__cash_positionD

[treasury-management] cash_position

Inputs: opening (required), receipts (required), disbursements (required).

treasury_management__fx_forward_rateB

[treasury-management] Covered interest parity: F = S x (1 + r_dom x t) / (1 + r_for x t).

Inputs: days (required), spot (required), foreign_rate (required), domestic_rate (required), +1 more.

treasury_management__hedge_pnlB

[treasury-management] P&L of a forward purchase of foreign currency vs buying at maturity spot.

Inputs: notional_foreign (required), spot_at_maturity (required), contracted_forward (required).

treasury_management__liquidity_runway_daysD

[treasury-management] liquidity_runway_days

Inputs: daily_net_outflow (required), unrestricted_cash (required), committed_facilities (required).

variance_analysis__fixed_overhead_variancesD

[variance-analysis] fixed_overhead_variances

Inputs: foh_rate (required), actual_foh (required), budgeted_foh (required), std_hours_allowed (required).

variance_analysis__labelD

[variance-analysis] label

Inputs: v (required).

variance_analysis__labor_efficiency_varianceD

[variance-analysis] std_hours = standard hours allowed for ACTUAL output.

Inputs: std_rate (required), act_hours (required), std_hours (required).

variance_analysis__labor_rate_varianceD

[variance-analysis] labor_rate_variance

Inputs: act_rate (required), std_rate (required), act_hours (required).

variance_analysis__material_price_varianceD

[variance-analysis] Positive = favorable.

Inputs: act_qty (required), act_price (required), std_price (required).

variance_analysis__material_usage_varianceC

[variance-analysis] std_qty = standard quantity allowed for ACTUAL output. Positive = favorable.

Inputs: act_qty (required), std_qty (required), std_price (required).

venture_debt__payment_scheduleC

[venture-debt] Monthly schedule: interest-only period then level amortization.

Inputs: io_months (required), principal (required), annual_rate (required), amort_months (required).

venture_debt__runway_extension_monthsD

[venture-debt] runway_extension_months

Inputs: monthly_burn (required), net_loan_proceeds (required).

venture_debt__total_cost_of_debtD

[venture-debt] total_cost_of_debt

Inputs: rows (required), closing_fee (required), final_payment_fee (required).

venture_debt__warrant_coverage_sharesB

[venture-debt] Shares under warrant = (loan x coverage%) / strike price.

Inputs: loan (required), strike (required), coverage_pct (required).

wacc_computation__cost_of_equity_capmC

[wacc-computation] CAPM cost of equity. All inputs as decimals (0.05 = 5%).

Inputs: erp (required), beta (required), risk_free (required), size_premium, +1 more.

wacc_computation__relever_betaB

[wacc-computation] Hamada relevering at the target capital structure.

Inputs: tax_rate (required), debt_to_equity (required), unlevered_beta (required).

wacc_computation__unlever_betaC

[wacc-computation] Hamada unlevering (debt beta assumed zero).

Inputs: tax_rate (required), levered_beta (required), debt_to_equity (required).

wacc_computation__waccC

[wacc-computation] Weighted average cost of capital from market-value weights.

Inputs: i (required).

working_capital_analysis__cash_conversion_cycleD

[working-capital-analysis] cash_conversion_cycle

Inputs: dio_v (required), dpo_v (required), dso_v (required).

working_capital_analysis__dioD

[working-capital-analysis] dio

Inputs: cogs (required), avg_inventory (required), days.

working_capital_analysis__dpoD

[working-capital-analysis] dpo

Inputs: cogs (required), avg_payables (required), days.

working_capital_analysis__dsoD

[working-capital-analysis] dso

Inputs: revenue (required), avg_receivables (required), days.

working_capital_analysis__working_capital_needC

[working-capital-analysis] Rough funding requirement implied by the cycle length.

Inputs: revenue (required), ccc_days (required), days.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    C2.2/5.0

    Scored across 178 tools

    Disambiguation4/5

    Tools are organized by skill prefix, which helps distinguish across domains. Within a skill, individual tools are specialized and descriptions clarify intent. However, the large number of tools increases the chance of misselection, especially for similar-sounding tools like 'zscore_anomalies' and 'rolling_deviation_anomalies'.

    Naming Consistency4/5

    Tools follow a consistent 'skill__tool_name' pattern using snake_case, which is predictable. Some tool names are vaguely named (e.g., 'label' in variance_analysis) or repeat the skill name (e.g., 'buffer_check'), but overall the pattern is maintained across all 178 tools.

    Tool Count2/5

    178 tools is excessive for a single MCP server, even one covering multiple finance domains. This makes it difficult for an agent to efficiently navigate and select the right tool. The server would benefit from being split into smaller, domain-specific servers (e.g., 5-15 tools per domain).

    Completeness4/5

    The server covers an impressively broad range of finance and accounting topics, from anomaly detection to working capital analysis. Most common calculations (NPV, IRR, ratios, lease accounting, etc.) are present. A few areas are thin (e.g., crypto accounting has only two tools), but overall the surface is comprehensive for a financial analysis toolkit.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      A
      quality
      B
      maintenance
      Open-source, accountant-verified tax computation skills for AI agents. 261+ skills across 172+ jurisdictions covering income tax, VAT/GST, payroll, corporate tax, crypto, and cross-border planning. Every skill is verified section-by-section by licensed CPAs and chartered accountants. 3 tools (list_skills, get_skill, get_skill_sections) and 1 prompt (skill-review).
      4
      6
      481
      AGPL 3.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      The complete agent surface for Jaz accounting, providing 284 MCP tools and domain knowledge for AI agents to handle accounting tasks.
      1,827 npm
      8
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to interact with the Tripletex accounting system via 56 tools and 18 skills for orders, invoices, bookkeeping, reports, projects, and travel expenses.
      23
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to perform financial analysis, budget forecasting, compliance checks, expense categorization, and risk assessment, returning structured JSON with audit-ready governance receipts.
      5
      102 npm
      1
      Business Source 1.1