SkillPress
Click on "Deploy 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., "@SkillPresscompile the FastAPI documentation into a skill pack"
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.
SkillPress
Compile websites, docs, and repositories into agent-ready skill packs.
SkillPress turns scattered source material into a clean SKILL.md package with references, source maps, and a maintenance trail. It is built for people who want Claude, Codex, Cursor, and other coding agents to understand a project, product, API, policy, or knowledge base without pasting the same context again and again.
pip install skillpress
skillpress build https://example.com/docs ./README.md \
--name "Example Docs" \
--description "Use when a user asks about Example's public documentation."Or expose it to an MCP-compatible agent client:
{
"mcpServers": {
"skillpress": {
"command": "skillpress",
"args": ["mcp"]
}
}
}Output:
skillpress-output/
example-docs/
SKILL.md
skillpress.json
references/
source-notes.md
sources.jsonWhy It Exists
AI agents are powerful, but they still waste time when knowledge is trapped in long docs, scattered repository files, PDFs, internal notes, or web pages. SkillPress gives that material a portable shape:
SKILL.mdfor agent instructions.references/source-notes.mdfor readable context.references/sources.jsonfor traceability.skillpress.jsonfor regeneration and maintenance.
It is not a web-scraping bypass tool. It is a public-source and local-document compiler for responsible agent workflows.
Related MCP server: AI Skills MCP Server
Features
Build a skill from URLs, files, or folders.
Scan common text/code formats from repositories.
Extract readable text from HTML with no heavy dependencies.
Generate source-grounded references for agent answers.
Validate a skill pack before sharing it.
Zip a skill pack for release or installation.
Run a stdio MCP server for agent clients.
Works with Python standard library only.
Commands
Create a skill from public docs and local files:
skillpress build https://example.com/docs ./docs \
--name "Example Product" \
--description "Use when answering questions about Example Product."Create an empty skeleton:
skillpress new "Support Playbook" \
--description "Use when drafting support replies from the team playbook."Inspect a skill:
skillpress inspect skillpress-output/example-product
skillpress inspect skillpress-output/example-product --jsonPackage a skill:
skillpress pack skillpress-output/example-productRun the MCP server:
skillpress mcpUse Cases
Turn a GitHub repository into an onboarding skill.
Turn product docs into a support-agent skill.
Turn an API reference into a coding-agent skill.
Turn research notes into a repeatable analysis skill.
Turn a public website into a compact knowledge pack.
Design Goals
Portable: the output is just files.
Transparent: sources are traceable.
Local-first: no account or hosted service required.
Agent-friendly: instructions are written for tools that can read
SKILL.md.Responsible: built for authorized local files and public documentation.
Roadmap
PDF and DOCX source support.
Better source ranking and deduplication.
Browser-rendered page capture for JavaScript-heavy documentation.
Remote MCP transport for hosted deployments.
Skill templates for support, API docs, repo onboarding, and research briefs.
Gallery of high-quality example skill packs.
Documentation
License
MIT
This server cannot be deployed
Maintenance
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