code-context

Code Context Retrieval

This skill provides 5 methods for retrieving code context. Select methods based on the target: public GitHub repos, library docs, code search, direct inspection, or post-clone web enrichment.

Token Isolation (Critical)

Never run any external lookup in the main context. Always spawn Task agents:

• DeepWiki: Agent calls read_wiki_structure / read_wiki_contents / ask_question, extracts architecture summary and key relationships, returns concise overview.
• Context7: Agent calls resolve-library-id then query-docs, extracts the minimum viable API surface and usage examples, returns copyable snippets with version notes.
• Exa: Agent calls get_code_context_exa, extracts minimum viable snippets, deduplicates near-identical results (mirrors, forks, repeated StackOverflow answers), returns copyable snippets + brief explanation.
• Git clone: Agent clones to /tmp/, reads entry points and core modules, runs rm -rf cleanup, returns file structure summary and key patterns.
• Web Search+Fetch: Agent runs WebSearch with version-anchored queries derived from clone findings, calls WebFetch on high-signal URLs, returns only validated insights cross-referenced against cloned code.

Main context stays clean regardless of search volume. Only final summaries return to the caller.

Method 1: DeepWiki (AI-powered repo documentation)

Best for: Well-known public GitHub repositories where you need architecture overview, component explanations, or high-level understanding fast.

Tools: read_wiki_structure, read_wiki_contents, ask_question

Process:

1. Call read_wiki_structure with the owner/repo (e.g., "facebook/react") to get topic list
2. Call read_wiki_contents for relevant topics, or ask_question for targeted queries
3. Use when you need: architecture diagrams, component relationships, design decisions

Strengths: Zero setup, instant AI-summarized documentation, good for onboarding to unfamiliar repos.