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SkillGod

Claude knows how to code. SkillGod knows how you code.

SkillGod is a runtime that sits between you and your AI coding tool. Before every response, it injects the right skills, your project memory, and routes complex tasks to specialist agents — automatically.

No prompt engineering. No copy-pasting context. It just works.


The problem

Claude is brilliant out of the box. But it doesn't know:

  • Your team's debugging methodology

  • Which deployment pattern your project uses

  • What you decided last Tuesday about state management

  • That the last time it suggested Redux, you reworked it three times

Every session starts cold. SkillGod fixes that.


Related MCP server: Memory Bank MCP

What changes

Without SkillGod

With SkillGod

Context per prompt

0

3 scored skills + 32 instincts

Memory across sessions

Cold start every time

SQLite per project

Agent routing

One model, one task

10 specialist agents, each with own skills

Vault

1,944 skills

Learns from your feedback

No

Yes (accept/rework signals)

Prompt injection protection

No

Yes (security scan on every input)


How it works

Your prompt
    │
    ▼
┌──────────────────────────────────────────────┐
│  Security scan — block injections first      │
└──────────────────────────────────────────────┘
    │
    ▼
┌──────────────────────────────────────────────┐
│  Pillar 1 — Skills                           │
│  Score 1,944 skills against your task        │
│  Inject top 3 + all 32 instincts             │
│  (instincts fire every single prompt)        │
└──────────────────────────────────────────────┘
    │
    ▼
┌──────────────────────────────────────────────┐
│  Pillar 2 — Memory                           │
│  Load decisions, patterns, errors            │
│  for this specific project                   │
│  Record accept/rework signals after          │
└──────────────────────────────────────────────┘
    │
    ▼
┌──────────────────────────────────────────────┐
│  Pillar 3 — Agents (complex tasks only)      │
│  Decompose → spawn specialists               │
│  Frontend agent gets UI skills               │
│  Backend agent gets API skills               │
│  Nobody else does this                       │
└──────────────────────────────────────────────┘
    │
    ▼
Claude (or any AI tool)

Install

# macOS (Apple Silicon)
curl -L https://skillgod.dev/dist/sg-mac-arm64 -o /usr/local/bin/sg && chmod +x /usr/local/bin/sg

# macOS (Intel)
curl -L https://skillgod.dev/dist/sg-mac-intel -o /usr/local/bin/sg && chmod +x /usr/local/bin/sg

# Linux
curl -L https://skillgod.dev/dist/sg-linux -o /usr/local/bin/sg && chmod +x /usr/local/bin/sg

# Windows (PowerShell)
irm https://skillgod.dev/install.ps1 | iex

# From source
git clone https://github.com/amancodingrepo/skillgod
cd skillgod
pip install -r requirements.txt
python engine/ingest.py
sg init

Then restart Claude Code. Skills inject automatically via MCP — no other config needed.


Quick start

sg init                          # detects IDE, writes .mcp.json, rebuilds index
sg find "debug python traceback" # test skill discovery
sg stats                         # vault counts and health
sg scan "your prompt here"       # test security scanner

The vault

1,944 skills across 11 categories. Every skill has:

  • Trigger words for accurate scoring

  • A description that starts with "Use when..." (not a summary — this is what makes discovery work)

  • Confidence score (0.65–0.95)

  • Source attribution

Category

Skills

What's in it

coding

572

debugging, TDD, Python, Go, Rust, review patterns

agents

461

frontend, backend, devops, security, docs specialists

design

250

UI/UX pro, brand, design systems, Figma patterns

writing

168

technical docs, README, blog, comms

devops

157

Docker, Kubernetes, Terraform, CI/CD, cloud deploy

instincts

32

always-on rules — verify before done, security first

research

100

deep research, market analysis, summarisation

security

96

OWASP, audit, injection detection, threat modelling

api

79

REST, GraphQL, API design, SDK patterns

react

29

hooks, composition, React Native, Expo

meta

auto-learned skills pending review


Commands

sg init              Set up SkillGod — detects IDE, writes .mcp.json
sg find <task>       Score vault against a task, show top matches
sg stats             Vault health, category counts, index status
sg build             Interactive skill builder — guided prompts
sg learn             Save any output as a new skill (goes to meta/)
sg sync              Rebuild local index (free) or decrypt full vault (pro: sg sync --key YOUR-KEY)
sg scan <text>       Scan for prompt injection threats
sg signals           Accept/rework rates per skill — see what's working
sg promote           Review auto-learned skills, approve for vault promotion
sg run <tool>        Run any AI tool with SKILLGOD_ROOT injected

MCP tools (what Claude Code calls directly)

Once sg init runs, these tools are available inside every Claude Code session:

find_skills(task)         → top scored skills for this task
inject_context(task)      → full augmented prompt string
save_memory(summary)      → persist a decision to project memory
get_memory(project)       → retrieve recent project context
learn_skill(task, output) → auto-generate skill from session output
stocktake()               → vault health report
spawn_agents(task)        → decompose and route to specialist agents
security_scan(text)       → threat detection
vault_stats()             → live vault counts

Pricing

Feature

Free

Early Adopter

Pro

Price

Free forever

$7/mo locked forever

$10/mo

Who

Everyone

First 200 users only

User 201+

Skills

30 starter skills

885+ (full vault)

885+ (full vault)

Instincts

All 32

All 32

All 32

Memory

Full SQLite layer

Full SQLite layer

Full SQLite layer

Agent layer

Basic

Full multi-agent

Full multi-agent

Monthly vault updates

No

Yes

Yes

Skill enhancer + signal analytics

No

Yes

Yes

sg sync --key

No

Yes

Yes

The free tier is not crippled — 30 skills, full memory, and the basic agent layer is enough to genuinely feel the difference.

Early Adopter pricing is locked forever. First 200 users pay $7/mo for life, no matter what the price does later.

Referral program:

  • Get a referral link from any Pro user → sign up at $7/mo locked forever, even after the 200-user window closes

  • Refer a friend who converts to paid → you get 1 free month ($10 value) automatically

License via LemonSqueezy. Offline grace period: 30 days — your workflow never breaks.


Why the vault is the moat

Anyone can build a skill injector. The vault is 1,944 curated, scored, and formatted skills that have been normalised from 12 source repos into a single consistent format. Every description starts with "Use when..." — not a summary — which is the detail that makes semantic scoring work.

The runtime is open source. The vault is the product. Free tier includes 30 skills — Pro unlocks all 1,944.


Built on the shoulders of

SkillGod assembles the best patterns from 12 open-source repos:

Repo

What we took

obra/superpowers

SKILL.md format, "Use when" description standard

anthropics/skills

17 production skills, marketplace format

thedotmack/claude-mem

SQLite memory schema, 5-hook lifecycle

affaan-m/everything-claude-code

Instincts layer, confidence scoring

msitarzewski/agency-agents

179 specialist agent profiles

snarktank/ralph

Autonomous loop, circuit breaker pattern

nextlevelbuilder/ui-ux-pro-max-skill

Deep design intelligence — 161 palettes, 57 font pairings

vercel-labs/skills

Deployment patterns

vercel-labs/agent-skills

Agent-specific skill patterns

hesreallyhim/awesome-claude-code

Hook catalog, slash-command patterns

yusufkaraaslan/Skill_Seekers

Ingestion pipeline design

VoltAgent/awesome-agent-skills

Official team skills from Stripe, Cloudflare, Netlify, HuggingFace


Architecture

skillgod/
├── engine/
│   ├── ingest.py        ← sources → vault normaliser
│   ├── memory.py        ← SQLite memory layer
│   ├── skills.py        ← scoring + injection engine
│   ├── agents.py        ← spawning + per-agent skill routing
│   ├── runtime.py       ← combines all three pillars
│   ├── mcp_server.py    ← FastMCP server on :3333
│   ├── security.py      ← injection detection
│   ├── encryption.py    ← AES-256-GCM vault encryption
│   ├── signals.py       ← accept/rework tracking
│   └── variants.py      ← promotion queue
├── hooks/
│   ├── session_start.py ← loads instincts + memory
│   ├── pre_tool.py      ← security scan + skill injection
│   └── post_tool.py     ← captures memory + learns skills
├── vault_free/          ← 30 free skills (full vault unlocked with Pro)
└── cli/                 ← Go binary: sg

MIT License. Vault content retains original licenses from source repos.

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)
Commit activity

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