Skills-ContextManager
Don’t pollute your AI agent’s context with 1,000 skills. Use Skills-ContextManager, a self-hosted web UI for managing AI skills and workflows by providing skills to an AI agent via MCP only when needed. Simply add skills to your library and enable or disable them with a toggle. Choose whether a skill is always loaded into context or dynamically activated when the AI agent determines it’s needed.
Skill-ContextManager & MCP Server
A self-hosted web application for managing AI skills, workflows, and contexts with full MCP (Model Context Protocol) integration. Organize, manage, and dynamically load specialized knowledge bases into any AI Agent just by toggling your Skills On/Off in simple local hosted WEB UI.

Features
Web Application
- Skill & Workflow Management: Create, edit, delete, and organize skills and workflows
- Multi-Hub Support: Create isolated workspaces with separate skills/contexts
- Context Cells: Organize skills/workflows into logical groups with enable/disable toggles
- Dual Mode: Choose Always-loaded (auto-loaded) or Dynamic (on-demand) skills by on/off toggle
- File Editor: Built-in editor with file tree, create/delete files & folders
- Import Sources:
- 📂 Folder: Upload from local filesystem
- 🐙 GitHub: Clone from GitHub repositories
- ⚡ Skills.sh: Import from Skills.sh registry
- AI Description Generation: Auto-generate skill descriptions using AI APIs
- Secure API Key Storage: API keys stored with file mode 0600 (owner-only)
- Settings Profiles: Save and load configuration presets
- Search & Filter: Smart search, sort, favorites, active/inactive filters
- Token Counting: Track context size in tokens
- Drag & Drop: Move skills/workflows to contexts
MCP Server
- 3 Essential Tools for AI Agents:
get_default_skills()- Load skills with mode"always_loaded"list_available_skills()- List all enabled skills with modesload_full_skill_context(name)- Load dynamic skill on-demand
- Hub-Aware: Works with active hub from multiple workspaces
- Mode Support:
"always_loaded"vs"dynamic"skill loading - Type Support: Both Skills and Workflows
Quick Start
# Clone the repository
git clone https://github.com/One-Man-Company/Skills-ContextManager.git
cd Skills-ContextManager
# Make setup script executable and run it
chmod +x setup.sh
./setup.sh
# Start web application
cd Skill-ContextManager && npm start
Access: http://localhost:3000
MCP configuration saved to mcp_settings.json - add this to your AI Agent's MCP settings.
⚠️ Important: Copy the content of
MCP_instructions.mdto your AI Agent's System prompt or rules configuration.
MCP Configuration
The setup.sh script generates mcp_settings.json with correct paths. Add it to your AI Agent's MCP settings file:
{
"Skills-ContextManager": {
"command": "/absolute/path/Skills-MCP/.venv/bin/python3",
"args": ["-u", "/absolute/path/Skills-MCP/mcp_server.py"],
"env": {}
}
}
MCP Tools
AI Agents need only these 3 tools. Usage details are in MCP_instructions.md (system prompt):
| Tool | Description |
|---|---|
get_default_skills() | Load all skills with mode "always_loaded" into context |
list_available_skills() | List all enabled skills with descriptions and modes |
load_full_skill_context(name) | Load a specific skill on-demand (for mode "dynamic") |
mcpservers.org Submission
| Field | Value |
|---|---|
| Name | Skills-ContextManager |
| Description | Web UI for managing AI skills with MCP integration |
| Repository | https://github.com/One-Man-Company/Skills-ContextManager |
| Command | [path]/Skills-MCP/.venv/bin/python3 |
| Args | -u [path]/Skills-MCP/mcp_server.py |
Included Skills & Workflows
The repository includes starter content in MySkillsHUB/:
Skills (39): architecture, behavioral-modes, clean-code, code-review-checklist, documentation-templates, frontend-design, game-development, i18n-localization, mobile-design, nextjs-react-expert, nodejs-best-practices, parallel-agents, performance-profiling, python-patterns, seo-fundamentals, server-management, skill-creator, systematic-debugging, ui-ux-pro-max, vulnerability-scanner, webapp-testing, api-patterns, and more.
Workflows (3):
- best-standard-autonomous-coding
- elite-cognitive-operator-system
- plan-mode
All content is automatically copied to your library on first setup.
License
MIT License
Created: February 2026
Related Servers
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
OpenAPI to MCP
A Go tool for converting OpenAPI specifications into MCP tools.
FileForge
Transforms raw code into polished solutions with optimized performance and vector embeddings support.
Local Code Indexing for Cursor
A Python-based server that locally indexes codebases using ChromaDB to provide semantic search for tools like Cursor.
Currents
Enable AI Agents to fix Playwright test failures reported to Currents.
ShaderToy-MCP
Query and interact with ShaderToy shaders using large language models.
MCP Server Boilerplate
A TypeScript boilerplate for building MCP servers with streamable HTTP and OAuth proxy support.
Figma Context MCP
Extract code, assets, and component structures from Figma designs to use within AI workflows.
MCP Sequence Simulation Server
Simulate DNA and amino acid sequences using evolutionary models and algorithms.
Google Jules MCP
Automate Google Jules, the AI coding assistant, for tasks like code reviews, repository management, and AI-powered development workflows.
ALAPI
ALAPI MCP Tools,Call hundreds of API interfaces via MCP