Skip to main content
Glama
AbdulqaderAhmed

skills-manager-mcp

Skills Manager MCP

A production-grade Model Context Protocol (MCP) server and CLI tool for managing AI agent skills across VS Code, Claude, Antigravity Desktop, Cursor IDE, and Codex.

npm version node version License: MIT Build Status

Overview

Skills Manager MCP provides intelligent, zero-configuration management of AI agent skills and bundles across your development environment. Whether you're working in VS Code with Copilot, Claude, Cursor IDE, Antigravity Desktop, or Codex, this tool automatically handles skill installation, caching, configuration merging, and version management.

Key Features

  • šŸš€ Zero-Config Setup — Automatic first-run initialization with platform-aware registration

  • šŸŽÆ Multi-Editor Support — Unified MCP registration for VS Code, Claude, Cursor IDE, Antigravity Desktop, and Codex

  • šŸ“¦ Smart Caching — Global skill cache at ~/.ai-skills/cache/ eliminates redundant downloads

  • šŸ”„ Config Merging — Intelligently combines project-specific and personal global skill collections

  • šŸ—ļø Workspace Detection — Automatic project root discovery using multiple heuristics

  • šŸ“Š Metadata Tracking — Maintains .agents/skills-manager.json with versioning and schema migrations

  • šŸ” Health Diagnostics — Built-in doctor command for troubleshooting

  • šŸ› ļø Headless Installation — Perfect for CI/CD pipelines and unattended environments

  • šŸ“ Full API — Comprehensive MCP tools for programmatic skill management


Related MCP server: dev-env-setup

Table of Contents


Requirements

  • Node.js: 20.0.0 or newer (LTS recommended)

  • Operating System: Windows, macOS, or Linux

  • Git: Required for skill repository cloning

The package enforces Node.js version requirements at runtime with a clear error message if an older version is detected.


Installation

Install globally to use the CLI and MCP server across all projects:

npm install -g skills-manager-mcp

Or with pnpm:

pnpm add -g skills-manager-mcp

Note: No npm postinstall scripts are required. The tool performs all setup automatically on first use.

Verification

Verify the installation:

skills-manager-mcp --version
skills-manager-mcp status

Getting Started

Automatic First-Run Setup

The tool automatically configures itself on first use:

skills-manager-mcp status

This single command:

  1. Detects first-time installation

  2. Creates global storage at ~/.ai-skills/

  3. Initializes the skill cache

  4. Auto-registers with all detected editors (VS Code, Claude, Cursor IDE, etc.)

  5. Displays initialization summary

Sample Output:

Skills Manager MCP first-time setup detected...

āœ“ Global storage initialized: ~/.ai-skills
āœ“ Skills cache ready: ~/.ai-skills/cache
āœ“ Antigravity MCP registered: ~/.gemini/antigravity-ide/mcp.json
āœ“ VS Code MCP registered: ~/.config/Code/User/mcp.json
āœ“ Cursor IDE MCP registered: ~/.config/Cursor/User/mcp.json
āœ“ Claude Code MCP registered: ~/.claude.json
āœ“ Codex MCP registered: ~/.config/Codex/User/mcp.json
āœ“ Server executable path: ~/.local/share/npm/node_modules/skills-manager-mcp/dist/index.js

Initialization complete.

Subsequent runs skip initialization instantly.

Manual Setup

To re-run setup or register with additional editors:

skills-manager-mcp setup

Multi-Editor Integration

VS Code Integration

The MCP server automatically registers with all VS Code variants during initialization.

Configuration: mcp.json (automatically updated)

Supported Variants:

  • VS Code (stable)

  • VS Code Insiders

  • VSCodium

Paths by Platform:

  • Windows: %APPDATA%\Code\User\mcp.json

  • macOS: ~/Library/Application Support/Code/User/mcp.json

  • Linux: ~/.config/Code/User/mcp.json

Configuration Format:

{
  "servers": {
    "skills-manager": {
      "type": "stdio",
      "command": "node",
      "args": ["/path/to/skills-manager-mcp/dist/index.js"]
    }
  }
}

Usage in VS Code:

  1. Open Command Palette (Ctrl+Shift+P / Cmd+Shift+P)

  2. Search "MCP: List Servers"

  3. Select and start skills-manager

  4. Use skills in Copilot Chat agent mode

Claude Desktop Integration

Claude Desktop (the GUI application) uses claude_desktop_config.json with the mcpServers top-level key.

Configuration: claude_desktop_config.json (automatically updated)

Paths by Platform:

  • Windows (Standard): %APPDATA%\Claude\claude_desktop_config.json

  • Windows (Store / MSIX): %LOCALAPPDATA%\Packages\Claude_*\LocalCache\Roaming\Claude\claude_desktop_config.json

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Linux: ~/.config/Claude/claude_desktop_config.json

Configuration Format:

{
  "mcpServers": {
    "skills-manager": {
      "command": "node",
      "args": ["/path/to/skills-manager-mcp/dist/index.js"]
    }
  }
}

Claude Code Integration

Claude Code (the terminal-based CLI agent) uses ~/.claude.json for user-level tools and .mcp.json for project-scoped tools.

Configuration: ~/.claude.json (automatically updated)

Paths by Platform:

  • All Platforms: ~/.claude.json

  • Windows: %USERPROFILE%\.claude.json

  • Project-level: .mcp.json (in project root)

Configuration Format:

{
  "preferences": { ... },
  "mcpServers": {
    "skills-manager": {
      "command": "node",
      "args": ["/path/to/skills-manager-mcp/dist/index.js"]
    }
  }
}

For detailed Claude setup instructions, see CLAUDE_SETUP.md.

Cursor IDE Integration

Cursor IDE uses mcp.json with the mcpServers top-level key.

Configuration: ~/.cursor/mcp.json (automatically updated)

Paths by Platform:

  • Global / User: ~/.cursor/mcp.json (all platforms)

  • Project-level: .cursor/mcp.json (in project root)

Configuration Format:

{
  "mcpServers": {
    "skills-manager": {
      "command": "node",
      "args": ["/path/to/skills-manager-mcp/dist/index.js"]
    }
  }
}

Codex CLI Integration

OpenAI Codex CLI uses config.toml in TOML format with [mcp_servers.<name>] tables.

Configuration: ~/.codex/config.toml (automatically updated)

Paths by Platform:

  • Global / User: ~/.codex/config.toml (all platforms)

  • Project-level: .codex/config.toml (in project root)

Configuration Format (TOML):

[mcp_servers.skills-manager]
command = "node"
args = ["/path/to/skills-manager-mcp/dist/index.js"]

Antigravity Desktop Integration

Antigravity Desktop is the primary MCP target with specialized registration.

Configuration Files:

  • ~/.gemini/config/mcp_config.json — Primary

  • ~/.gemini/antigravity-ide/mcp.json — Secondary

Configuration Format:

{
  "mcpServers": {
    "skills-manager": {
      "type": "stdio",
      "command": "node",
      "args": ["/path/to/skills-manager-mcp/dist/index.js"]
    }
  }
}

CLI Commands

skills-manager-mcp status

Displays a comprehensive status dashboard including configuration, cache statistics, MCP registration status across all editors, workspace detection, and installed skills.

Usage:

skills-manager-mcp status [projectPath]

Output Includes:

  • Global configuration presence

  • Cache skill count

  • MCP registration status per editor

  • Detected workspace and detection source

  • List of installed skills in workspace

skills-manager-mcp doctor

Runs comprehensive diagnostic health checks on installation, configuration, cache, and MCP registration.

Usage:

skills-manager-mcp doctor

Checks Performed:

  • āœ“ dist/index.js exists and is valid

  • āœ“ Antigravity configuration file

  • āœ“ MCP path validity and file existence

  • āœ“ VS Code MCP registration

  • āœ“ Claude MCP registration

  • āœ“ Cursor IDE MCP registration

  • āœ“ Codex MCP registration

  • āœ“ Global cache availability

  • āœ“ skills.config.json validity

Sample Output:

Skills Manager Doctor

āœ“ dist/index.js exists
āœ“ Antigravity configuration exists
āœ“ MCP path valid
āœ“ VS Code MCP registered
āœ“ Claude MCP registered
āœ“ Global cache available
āœ“ skills.config.json valid

Everything is healthy.

skills-manager-mcp bootstrap [projectPath]

Initializes a project workspace for skill management.

Usage:

skills-manager-mcp bootstrap [projectPath]

Operations:

  1. Detects or validates workspace root

  2. Creates .agents/skills/ directory structure

  3. Loads and merges project and global skill configurations

  4. Installs all configured skills (from cache or remote repository)

  5. Creates .agents/skills-manager.json metadata tracker

  6. Generates detailed installation report

Output Example:

Workspace: /path/to/project [Source: package.json]

Installed: 3
- find-skills
- frontend-design
- mattpocock-skills (bundle)

Skipped: 0
Failed: 0

skills-manager-mcp sync [projectPath]

Synchronizes workspace skills with global personal collection.

Usage:

skills-manager-mcp sync [projectPath]

Operations:

  • Fetches latest global skill configuration

  • Re-downloads all configured skills (updates)

  • Updates metadata and cache

  • Validates installation integrity

Use Case: When you've updated ~/.ai-skills/skills.config.json globally and want to apply changes across all projects.

skills-manager-mcp install [projectPath]

Installs only missing skills, skipping already-installed ones.

Usage:

skills-manager-mcp install [projectPath]

Useful for:

  • Adding new skills to an existing project

  • Recovering from partial installations

  • CI/CD pipelines requiring idempotent operations

skills-manager-mcp remove <skill1> [skill2] [...skillN]

Removes specified skills from the project workspace.

Usage:

# Remove single skill
skills-manager-mcp remove find-skills

# Remove multiple skills
skills-manager-mcp remove find-skills frontend-design mattpocock-skills

# Remove from both filesystem and config (prevents re-installation)
skills-manager-mcp remove find-skills --from-config
skills-manager-mcp remove find-skills -c

Options:

  • --from-config, -c — Also remove skill entries from skills.config.json

Output Example:

Removed: 1
- find-skills

Skipped: 0
Failed: 0

skills-manager-mcp setup

Manually re-run setup and MCP registration for all editors.

Usage:

skills-manager-mcp setup

Useful for:

  • Re-registering after editor installation

  • Fixing MCP configuration issues

  • Manual initialization on different platforms


Configuration

Global Skills Collection (~/.ai-skills/skills.config.json)

Manage your master skills collection globally:

{
  "skills": [
    {
      "name": "find-skills",
      "repository": "https://github.com/vercel-labs/skills",
      "skill": "find-skills"
    },
    {
      "name": "frontend-design",
      "repository": "https://github.com/anthropics/skills",
      "skill": "frontend-design"
    },
    {
      "type": "bundle",
      "name": "mattpocock-skills",
      "repository": "https://github.com/mattpocock/skills"
    }
  ]
}

Project-Specific Configuration (./skills.config.json)

Override or extend global configuration per project:

{
  "skills": [
    {
      "name": "tdd",
      "repository": "https://github.com/custom/skills",
      "skill": "tdd"
    }
  ]
}

Merge Behavior: Project skills with matching name override global skills.

Configuration Schema

Field

Type

Required

Description

name

string

āœ“

Unique skill identifier (alphanumeric, hyphens, underscores)

repository

string

āœ“

Git HTTPS repository URL containing skill(s)

skill

string

Folder name in repository; defaults to name

type

string

'skill' (default) or 'bundle'

Metadata Tracker (.agents/skills-manager.json)

Automatically maintained project metadata:

{
  "version": "1.6.0",
  "updatedAt": "2026-08-14",
  "migrations": {
    "1.0": "completed",
    "1.6.0": "completed"
  },
  "skills": {
    "find-skills": {
      "type": "skill",
      "source": "https://github.com/vercel-labs/skills",
      "installedAt": "2026-08-14",
      "version": "latest"
    }
  }
}

MCP Tools Reference

When running within VS Code (Copilot Chat agent mode), Claude, or Antigravity Desktop, the following MCP tools are available:

Tool

Purpose

get_workspace_info

Diagnose workspace detection and configuration

bootstrap_project

Initialize project with skills

sync_skills

Update skills from global collection

install_skills

Install missing skills only

remove_skills

Remove skills from project

list_installed_skills

Audit current installation

check_missing_skills

Validate skill completeness


Architecture

Directory Structure

~/.ai-skills/
ā”œā”€ā”€ skills.config.json          # Global skill collection
ā”œā”€ā”€ config.json                 # Workspace detection settings
└── cache/
    ā”œā”€ā”€ find-skills/
    └── mattpocock-skills/

<project>/
ā”œā”€ā”€ .agents/
│   ā”œā”€ā”€ skills/                 # Installed skills
│   └── skills-manager.json     # Installation metadata
└── skills.config.json          # Project config (optional)

Design Patterns

  • Layered Architecture — Clear separation between CLI, orchestration, services, and utilities

  • Idempotent Operations — All commands are safe to run multiple times

  • Lazy Initialization — Zero-config setup on first use

  • Configuration Merging — Smart override semantics for project + global configs

  • Schema Versioning — Automatic metadata migrations for forward compatibility


Troubleshooting

MCP Server Not Connecting

Symptom: Editor doesn't recognize the MCP server.

Solution:

  1. Run diagnostics:

    skills-manager-mcp doctor
  2. Re-run setup:

    skills-manager-mcp setup
  3. Restart the editor

  4. Check file permissions on MCP config files

Skills Installation Fails

Symptom: Error during bootstrap or install.

Solution:

  1. Verify workspace detection:

    skills-manager-mcp status
  2. Check network connectivity (repositories must be accessible)

  3. Validate skills.config.json JSON syntax

  4. Ensure repository URLs use HTTPS

  5. Review doctor output for configuration issues

Workspace Not Detected

Symptom: status shows incorrect or no workspace.

Solution:

  1. Run with explicit path:

    skills-manager-mcp bootstrap /path/to/project
  2. Ensure project contains a marker file: package.json, .git, pnpm-lock.yaml, etc.

  3. Check ~/.ai-skills/config.json for custom detection settings

Cache Issues

Symptom: Skill installation is slow or cached versions are stale.

Solution:

  1. Clear cache manually:

    rm -rf ~/.ai-skills/cache
  2. Rebuild cache:

    skills-manager-mcp sync

Development

Prerequisites

  • Node.js 20.0.0+

  • pnpm (or npm)

  • TypeScript

Setup & Build

git clone https://github.com/your-org/skills-manager-mcp.git
cd skills-manager-mcp
pnpm install
pnpm run build

Testing

# Run tests
pnpm test

# Watch mode
pnpm test:watch

Project Structure

src/
ā”œā”€ā”€ cli.ts                  # CLI entry point
ā”œā”€ā”€ index.ts               # MCP server entry point
ā”œā”€ā”€ skillManager.ts        # Core orchestration
ā”œā”€ā”€ commands/              # CLI command handlers
└── services/              # Platform-specific services
    ā”œā”€ā”€ antigravityRegistry.ts
    ā”œā”€ā”€ vscodeRegistry.ts
    ā”œā”€ā”€ claudeCodeRegistry.ts
    ā”œā”€ā”€ cursorRegistry.ts
    └── codexRegistry.ts

Support & License

Documentation

Issues & Feedback

Report issues on GitHub Issues.

License

MIT License — Copyright Ā© 2024-2026. See LICENSE for details.

Security & Privacy

  • No telemetry — Your usage remains private

  • Local-only operation — All processing happens on your machine

  • No automatic updates — Manual npm updates only

  • Unencrypted configs — Treat ~/.ai-skills/ like sensitive configuration


Questions? Consult the CLAUDE_SETUP.md guide or open an issue on GitHub.

Available Tools

7 tools
bootstrap_projectA

Automatically bootstrap a new or existing project workspace by setting up .agents/skills, loading personal skill collection & project config, using global cache, installing missing skills, and updating version metadata tracker (.agents/skills-manager.json).

ParametersJSON Schema
NameRequiredDescriptionDefault
configPathNoOptional explicit path to a skills.config.json file.
projectPathNoPath to the target project workspace directory. AI agents should pass the user's currently active project workspace directory path here.

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It lists specific side effects: setting up .agents/skills, loading config, using global cache, installing missing skills, and updating .agents/skills-manager.json. This is transparent about the write operations. It does not mention potential caveats like overwriting existing files or requiring network access, but the disclosed actions are substantial and unlikely to mislead.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence but efficiently packs all key information: the action (bootstrap), the scope (new or existing project workspace), and the specific steps. It is front-loaded with the primary purpose and avoids filler. Every clause contributes to understanding the tool's behavior.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity and the absence of an output schema, the description covers the main behaviors and artifacts affected. It does not describe return values or error scenarios, but the list of setup steps provides a solid understanding for an agent to select and invoke the tool. The presence of siblings adds context, and this description clearly positions bootstrap_project as the comprehensive setup action.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%: both configPath and projectPath have descriptions. The tool description adds no parameter-specific details beyond what the schema already provides. It mentions 'loading personal skill collection & project config' which may relate to configPath, but this is not explicit. The baseline of 3 is appropriate because the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: automatically bootstrap a new or existing project workspace. It lists concrete actions (setting up .agents/skills, loading personal skill collection & project config, using global cache, installing missing skills, updating version metadata tracker) which distinguish it from sibling tools like install_skills or sync_skills by being the comprehensive setup operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use the tool: when bootstrapping a new or existing project workspace. It does not explicitly mention exclusions or alternative tools, but the phrase 'bootstrap a new or existing project workspace' implies it is the go-to for full setup, leaving install_skills for targeted installs. However, explicit guidance on when not to use it (e.g., 'for single-skill installs, use install_skills instead') is missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

check_missing_skillsA

Check the status of project skills against merged project/global skills.config.json without triggering any installation.

ParametersJSON Schema
NameRequiredDescriptionDefault
configPathNoOptional explicit path to skills.config.json file.
projectPathNoPath to the target project workspace directory. AI agents should pass the user's currently active project workspace directory path here.

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It usefully discloses that installation is not triggered, but it does not clarify what 'status' means, whether any state is modified, or what the output format looks like. This is a moderate gap for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that conveys the core operation and a key caveat with no filler or wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of output schema and annotations, the description is somewhat thin. It explains the check action but not what constitutes 'status' or the nature of the returned result. The parameter descriptions help, but overall the tool could benefit from clarifying expected outputs or side-effect guarantees.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters are already documented. The description does not add extra meaning beyond the schema, matching the baseline for full schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('check') and resource ('status of project skills'), references the merged config file, and explicitly notes it does not trigger installation. This distinguishes it from sibling tools like sync_skills and install_skills.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when a read-only status check is needed without installation, which contrasts with sync/install siblings. However, it lacks explicit when-not-to-use or alternative tool recommendations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_workspace_infoA

Debugging tool to inspect the active project workspace resolution, detection source, server directory protection status, and workspace validity.

ParametersJSON Schema
NameRequiredDescriptionDefault
projectPathNoPath to the target project workspace directory. Pass the active project workspace folder path.

TDQS

A4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. The verb 'inspect' implies a read-only operation, but the description does not explicitly state that no changes are made, nor does it describe the return value or error behavior. It adds some transparency but leaves gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the tool's purpose ('Debugging tool') and enumerates specific aspects concisely without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a simple signature (one optional param, no output schema), and the description covers the main purpose. However, it could name the return value or clarify what 'validity' entails, but it's reasonably complete for a debugging helper.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides a clear description of 'projectPath' with 100% coverage, so the tool description doesn't need to add more. It doesn't, which is acceptable.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action ('inspect') and resource ('active project workspace'), enumerating concrete aspects (resolution, detection source, protection status, validity). It differentiates from sibling tools which are all setup/management actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'Debugging tool' provides clear context for when to use it (during troubleshooting), and the read-oriented verb 'inspect' distinguishes it from the action-oriented siblings. However, it doesn't explicitly mention when not to use it or alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

install_skillsA

Install missing project skills defined in project/global skills.config.json into .agents/skills. Uses workspace auto-detection, global cache, and version tracking.

ParametersJSON Schema
NameRequiredDescriptionDefault
configPathNoOptional explicit path to skills.config.json file.
projectPathNoPath to the target project workspace directory. AI agents should pass the user's currently active project workspace directory path here.

TDQS

A4.1/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden of disclosing behavioral traits. It reveals that the tool uses workspace auto-detection, global cache, and version tracking, and it implies only missing skills are installed. However, it does not specify whether existing skills are overwritten, if network access is required, or any side effects, leaving some ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the primary purpose and followed by key behavioral details. Every sentence contributes information without redundancy or excessive length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description provides the core purpose and some behavioral details, but it lacks comprehensive coverage of side effects, prerequisites, or return behavior. It is adequate for basic understanding but not fully complete for an installer tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema fully covers both parameters with descriptions, giving a baseline of 3. The description adds value by explaining that workspace auto-detection can override projectPath and that the config can be project or global, which enriches the meaning of configPath and projectPath beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Install'), the resource ('missing project skills defined in project/global skills.config.json'), and the destination ('.agents/skills'). The mention of 'missing' and 'version tracking' differentiates it from sibling tools like sync_skills or check_missing_skills.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool: to install missing skills based on configuration. It provides context about workspace auto-detection and global cache but does not explicitly name alternatives or when-not-to-use conditions. This is clear but lacks direct exclusions, so a score of 4 is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_installed_skillsA

List all currently installed skills inside the project (.agents/skills) along with version metadata tracker details.

ParametersJSON Schema
NameRequiredDescriptionDefault
projectPathNoPath to the target project workspace directory. AI agents should pass the user's currently active project workspace directory path here.

TDQS

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses the operation is a listing, specifies the exact location (.agents/skills), and notes the inclusion of version metadata tracker details. This provides useful behavioral context, though it stops short of describing output format or side-effect absence.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no redundant words. It efficiently conveys the action, scope, and extra details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple list operation with one optional parameter and no output schema, the description gives sufficient context about what is listed and where. It doesn't explain return shape, but the simplicity of the tool makes this a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides a detailed description for projectPath, achieving 100% coverage. The tool description adds no parameter-specific meaning, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'List' and names the resource 'installed skills inside the project (.agents/skills)', also mentioning 'version metadata tracker details'. This clearly distinguishes it from sibling tools like install_skills, remove_skills, and sync_skills.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intent is clear from the verb and scope, but there is no explicit guidance on when to use this tool versus alternatives such as get_workspace_info or sync_skills. Usage context is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

remove_skillsA

Remove one or an array of specified skills or bundles from the project workspace (.agents/skills) and update metadata tracking.

ParametersJSON Schema
NameRequiredDescriptionDefault
skillsYesArray of skill or bundle names to remove.
projectPathNoPath to the target project workspace directory. AI agents should pass the user's currently active project workspace directory path here.
removeFromConfigNoOptional. If true, also removes skills from project skills.config.json to prevent auto-reinstallation.

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of disclosure. It does disclose the removal location and metadata tracking, but it does not mention that removal is likely irreversible, what happens to bundles containing multiple skills, or what 'update metadata tracking' means in practice. This leaves important behavioral context implicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that states the action, target, location, and side effect in order. It contains no redundant or filler words and is easily scannable by an agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is a mutation with no output schema, and the description covers the action and location. However, it lacks indication of expected return behavior, confirmation of success, or consequences for bundled skills. For a destructive operation, more detail on reversibility and side effects would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters (skills, projectPath, removeFromConfig) are already fully documented. The description adds no new parameter detail beyond referring to 'specified skills or bundles', which mirrors the skills parameter. Baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'Remove' and clearly identifies the resource ('skills or bundles') and the location ('.agents/skills'). It also notes the side effect of updating metadata tracking, distinguishing it from siblings like install_skills or sync_skills.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The context makes the purpose clear—removing skills or bundles—and the verb 'remove' contrasts naturally with 'install' or 'sync'. However, it does not explicitly state when to prefer this tool over alternatives or mention exclusions (e.g., when not to use it).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

sync_skillsC

Synchronize project workspace skills with your personal skill collection (~/.ai-skills/skills.config.json) and global cache.

ParametersJSON Schema
NameRequiredDescriptionDefault
configPathNoOptional explicit path to a skills.config.json file.
projectPathNoPath to the target project workspace directory. AI agents should pass the user's currently active project workspace directory path here.

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are absent, so the description must disclose behavioral traits. It only mentions the act of synchronization and the target locations, but does not clarify the direction of sync, potential side effects (e.g., overwriting files), or whether this is a read or write operation. This is insufficient for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no fluff. It leads with the verb and primary resource, though the phrase 'with your personal skill collection... and global cache' is slightly ambiguous. Overall, it is efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of output schema and annotations, the description is too thin. It fails to explain return values, side effects, or how this tool relates to sibling tools. For a sync operation with potential file mutations, this lacks critical context for an agent to use safely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with both parameters (configPath, projectPath) having meaningful descriptions. The tool description adds little beyond the schema, only reinforcing the config path. Baseline 3 is appropriate since the schema already documents the parameters adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function with a specific verb 'Synchronize' and names the resources involved: project workspace skills, personal skill collection (~/.ai-skills/skills.config.json), and global cache. It distinguishes from sibling tools by implying a broader sync operation rather than install/remove/list, though it doesn't explicitly contrast them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like install_skills or remove_skills. There is no mention of appropriate contexts, prerequisites, or exclusions, leaving the agent without direction on tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

TDQS

A3.8/5.0
Disambiguation4/5

Each tool targets a distinct operation (inspect, bootstrap, sync, install, list, check, remove). There is minor overlap between sync_skills and install_skills as both can install missing skills, but their descriptions clarify different scopes (personal collection vs config-based).

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_workspace_info, list_installed_skills, remove_skills). This makes the set predictable and easy to navigate.

Tool Count5/5

The 7 tools are well-scoped for a skills manager, covering setup, synchronization, installation, listing, checking, removal, and diagnostics. Each tool earns its place without redundancy or bloat.

Completeness4/5

The tool set covers the core skill-management lifecycle: bootstrap, sync, install, list, check, and remove. A minor gap is the absence of a way to inspect individual skill contents, but the existing surface handles the primary workflows effectively.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AbdulqaderAhmed/skills-manager-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server