Agent skill · writing content · github
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).
Why this skill is useful
Provides interactive onboarding and domain-specific knowledge about the context-matic MCP server's APIs and usage patterns.
What it needs
About 9k tokens when loaded. Last updated 2026-08-07. 37,534 stars on the source repository.
What this skill does
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server solves a fundamental problem with AI-assisted coding: general models are trained on public code that is often outdated, incorrect, or missing entirely for newer SDK versions.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 that match the current API version and the project's programming language. After explaining the problem the server solves, walk through each of the four tools as if introducing them to someone using the server for the first time. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills github/onboard-context-matic