skill-forge-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@skill-forge-mcpCreate a skill for writing unit tests."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP server that exposes the Agent Skill creation guide (9 phases) as MCP resources. AI agents retrieve only the phases they need on demand and follow the process to build SKILL.md files.
Quick Start
Claude Code:
claude mcp add skill-forge-mcp -- npx skill-forge-mcpGemini CLI:
gemini mcp add skill-forge-mcp -- npx skill-forge-mcpVS Code (GitHub Copilot) — .vscode/mcp.json:
{
"servers": {
"skill-forge-mcp": {
"command": "npx",
"args": ["skill-forge-mcp"]
}
}
}Cursor:
{
"skill-forge-mcp": {
"command": "npx",
"args": ["skill-forge-mcp"]
}
}{
"mcpServers": {
"skill-forge-mcp": {
"command": "npx",
"args": ["skill-forge-mcp"]
}
}
}Related MCP server: AutoLearn MCP Server
Usage
Ask your agent:
"I want to create a skill for React component design. Follow the SkillForge MCP process."
The agent will automatically:
Fetch the process structure from
process://manifestRead Phase 1 (
process://phase/1) for scoping, run baseline measurementsRecord progress with
mark_progressas it advances through each phaseGenerate the final SKILL.md following Phase 6 guidelines
Use search_process for keyword lookups across phases.
The 9 Phases
Phase | Name | Purpose |
0 | Skill Specification | SKILL.md structure and frontmatter |
1 | Scoping & Baseline | Measure failure patterns; define research scope |
2 | Domain Research | Establish quality criteria and theoretical foundations |
3 | Gap Analysis | Verify whether research alone enables the agent to act |
4 | Deep Implementation Research | Fill gaps with code examples, anti-patterns, validation |
5 | Structuring & Completeness | Confirm coverage across all categories |
6 | Distillation into SKILL.md | Condense into ≤500 lines; maximize token efficiency |
7 | Deploy & Validate | Place, verify spec compliance, security review |
8 | Evaluate & Iterate | Compare against baseline, improve iteratively |
Features
Staged access — retrieve content at phase or section granularity
Cross-phase search — keyword search across all 9 phases
Progress tracking — record and query per-phase completion status
Prompt templates —
create_skillandresume_skillprompts for guided workflowsStructured output —
outputSchema+structuredContenton all tools for programmatic consumptionState persistence — optionally retain progress across sessions
Low overhead — ~1,500 token fixed cost to the context window
API
Resources
URI | Description |
| Full index (JSON) |
| Phase 0–8 content |
Resource Templates
Template | Description |
| Retrieve a single section |
| Batch retrieval (e.g. |
Tools
Tool | Description | Input |
| Keyword search across all phases |
|
| Record phase progress |
|
| Progress summary for all phases |
|
status: "not-started" · "in-progress" · "completed"
Prompts
Prompt | Description |
| Full guided workflow (Phase 0→8). Accepts a |
| Resume from current progress. Checks |
Configuration
Set SKILL_FORGE_PERSIST=true to persist progress to ~/.skill-forge-mcp/state.json:
{
"mcpServers": {
"skill-forge-mcp": {
"command": "npx",
"args": ["skill-forge-mcp"],
"env": { "SKILL_FORGE_PERSIST": "true" }
}
}
}Development
git clone https://github.com/popyson1648/skill-forge-mcp.git
cd skill-forge-mcp
npm install
npm run build
npm test # 52 testssrc/
├── index.ts # Entry point
├── content.ts # Content loading & section extraction
├── search.ts # Cross-phase search
├── state.ts # State management & persistence
├── status.ts # Status table formatter
├── content/ # English content (served)
└── content-ja/ # Japanese translations (developer reference only)
tests/
├── content.test.ts
├── search.test.ts
├── state.test.ts
├── resources.test.ts
└── tools.test.tsRequirements: Node.js >= 18
Contributing
Contributions are welcome! Feel free to open an Issue or submit a Pull Request.
License
MIT
This server cannot be installed
Maintenance
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