onboard-context-matic
Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project language, demonstrates model_search and endpoint_search live, and ends with a menu of things the user can ask the agent to do. USE FOR: first-time setup; "what can this MCP do?"; "show me the available APIs"; "onboard me"; "how do I use the context-matic server"; "give me a tour". DO NOT USE FOR: actually integrating an API end-to-end (use integrate-context-matic instead).
Profile →npx skills add github/awesome-copilot --skill onboard-context-matic --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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: > The **context-matic** MCP server solves a fundamental problem with AI-assisted coding: general > models are trained on public code that is often outdated, incorrec
- Phase 0 — Opening statement and tool walkthrough
- Phase 1 — Show available APIs
- 1a. Detect the project language
- 1b. Fetch available APIs
- Phase 2 — API selection (interaction)
- Phase 3 — Explain the chosen API
- Phase 4 — Integration in the project language (interaction)
- Phase 5 — Demonstrate modelsearch
- Phase 6 — Demonstrate endpointsearch
- Phase 7 — Closing: what you can ask
- What you can do with this MCP
- Notes for the agent
What does the onboard-context-matic skill do?
Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project language, demonstrates model_search and endpoint_search live, and ends with a menu of things the user can ask the agent to do. USE FOR: first-time setup; "what can this MCP do?"; "show me the available APIs"; "onboard me"; "how do I use the context-matic server"; "give me a tour". DO NOT USE FOR: actually integrating an API end-to-end (use integrate-context-matic instead).
How do I install it?
Run `npx skills add github/awesome-copilot --skill onboard-context-matic --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.