Fast read-only code discovery with a bounded code-context-graph search and targeted source verification. Use when an ordinary positive lookup or explanation needs an entry point, recorded intent, known-path inventory, or direct relationship evidence. Do not use for absence, completeness, exhaustive inventory, deep flow or impact analysis, or graph writes; use ccg-search-verify for defensible negative claims, and require explicit invocation for ccg-analyze or ccg-build.

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Explicit-only deep analysis of algorithms, feature pipelines, and code relationships with CCG impact radius, bounded flow tracing, callers/callees, git-diff risk, affected stored flows, and cross-namespace references. Use only when the user explicitly names the ccg-analyze skill in the current request. Do not invoke merely because a task asks about a flow, pipeline, impact, caller, or relationship.

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code-context-graph — annotation system. AI-driven annotation workflow, tag reference, and annotation search.

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Author, refine, and verify CCG annotations such as @intent, @domainRule, @sideEffect, @mutates, @index, and @see. Use when adding business meaning to code, improving annotation-aware code or documentation retrieval, fixing annotation lint findings, checking supported tag syntax, or documenting operational contracts. Do not use for generated Markdown editing or annotations that merely restate symbol names.

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Explicit-only graph ingestion for building, updating, migrating, and postprocessing code-context-graph graphs from source visible to the CCG runtime. Use only when the user explicitly names the ccg-build skill in the current request. Do not invoke merely because a graph is missing or stale, annotations need reindexing, or another workflow would benefit from a refresh.

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code-context-graph — documentation generation, RAG indexing, and docs quality linting.

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