Retrieve relevant docs and code references via Tech RAG and detect documentation gaps.
npx skills add https://github.com/JDHayesBC/Awareness --skill research-jdhayesbc
Please help me install this Agent Skill. Skill: research Source: https://github.com/JDHayesBC/Awareness/tree/main/.claude/skills/research Command: npx skills add https://github.com/JDHayesBC/Awareness --skill research-jdhayesbc
Projects often suffer from missing, outdated, or hard-to-find documentation. This skill provides fast access to relevant docs and code references for any topic within the Awareness project, helping engineers understand how things work without manual digging.
Use the research skill to locate how a feature works and identify the primary docs and files that define its behavior.
High-intent search queries and answers about installing and using this skill.
Tech RAG surfaces the most relevant docs and code references for a given topic by evaluating search results against defined scoring thresholds to provide direct answers or flag gaps for improvement.
When documentation gaps are detected during a search, a background doc-fixer task is spawned to draft or locate the appropriate documentation path and report findings for self-healing docs.
A knowledge graph maps how files live and components interact within the project, allowing Tech RAG to evaluate authoritative documentation and code references against scoring thresholds for faster insight.
Yes, the research skill evaluates Tech RAG results against defined scoring thresholds and automatically spawns a background doc-fixer task to draft or locate missing documentation paths when gaps are detected.
Use Tech RAG-powered lookup to surface authoritative documentation and code references, enabling quick navigation to where files live and how components interact within the project without manual digging.
No specific dependencies are required to run Tech RAG for self-healing documentation, as the research skill operates independently to surface docs, evaluate scoring thresholds, and spawn doc-fixer tasks.
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