onboard-context-matic

Solid

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).

AI & Automation 34,887 stars 4287 forks Updated today MIT

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Quality Score: 93/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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 models are trained on public code that is often outdated, incorrect, or missing entirely for newer > SDK versions. This server acts as a **live, version-aware grounding layer**. Instead of the agent > guessing at SDK usage from training data, it queries the server for the *exact* SDK models, > endpoints, auth patterns, and runnable code samples tha...

Details

Author
github
Repository
github/awesome-copilot
Created
1 years ago
Last Updated
today
Language
Python
License
MIT

Integrates with

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