
Onboard Context Matic
A guided walkthrough that introduces you to the context-matic MCP server, which solves the problem of LLMs working from outdated or wrong SDK training data by providing live, version-aware API documentation. The tour shows you all four tools (fetch_api, ask, model_search, endpoint_search), lets you pick an API to explore, then demonstrates live lookups in your project's language. It's interactive and conversational, stopping at each step for your input. Use this the first time you set up context-matic or when you want to understand what APIs are available and how the server actually works. For end-to-end integration work, use integrate-context-matic instead.
- skills.sh installs
- 1K
- GitHub stars
- 41K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add github/awesome-copilot --skill onboard-context-matic --agent claude-codeInstalls into .claude/skills of the current project.
Files
Onboarding: ContextMatic MCP
This skill delivers a guided, interactive tour of the context-matic MCP server. Follow every
phase in order. Stop after each interaction point and wait for the user's reply before continuing.
Agent conduct rules — follow throughout the entire skill:
- Never narrate the skill structure. Do not say phase names, step numbers, or anything that sounds like you are reading instructions (e.g., "In Phase 1 I will…", "Step 1a:", "As per the skill…"). Deliver the tour as a natural conversation.
- Announce every tool call before making it. One short sentence is enough — tell the user what you are about to look up and why, then call the tool. Example: "Let me pull up the list of available APIs for your project language." This keeps the user informed and prevents silent, unexplained pauses.
Phase 0 — Opening statement and tool walkthrough
Begin with a brief, plain-language explanation of what the server does. Say it in your own words based on the following facts:
Sponsors
Details
- Repository
- github.com/github/awesome-copilot
- Categories
- Backend & APIs, Git & Pull Requests, AI & Agent Building
- First seen
- Apr 16, 2026
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