lyonzin/knowledge-rag

rag-security-first

For any security-related task — threat triage, incident response, MITRE ATT&CK mapping, CVE lookup, exploit analysis, defensive control validation, red/blue/purple team work — always consult the local corpus first. Assumes the RAG is loaded with security…

原文の言語: 英語

rag-check-first

Before answering any technical question, code request, architecture decision, or factual claim, call search_knowledge to check the local corpus. Trigger on any query that could be answered with prior work, indexed docs, ADRs, runbooks, or team context.…

原文の言語: 英語

rag-cite-sources

Every technical claim drawn from the local corpus must ship with a source citation formatted as path:line or path:section. Trigger whenever the response quotes, paraphrases, or acts on knowledge that came from a search_knowledge or get_document call. Makes…

原文の言語: 英語

rag-onboard-context

At the start of every new session or when the topic shifts significantly, probe the knowledge base to learn what is indexed. Calls get_index_stats + list_categories + a couple of exploratory search_knowledge queries. Prevents the agent from operating blind or…

原文の言語: 英語

rag-evaluate-quality

Periodically measure the retrieval quality of the knowledge base using evaluate_retrieval (MRR@5, Recall@5, Precision@5) plus get_index_stats for health metrics. Run weekly, after significant reindex activity, or when the user reports declining answer…

原文の言語: 英語

rag-index-decisions

After making a non-obvious architectural decision, solving a novel bug, agreeing on a coding standard, or reaching a conclusion worth remembering, index it back into the knowledge base so the next occurrence is one search away. Uses add_document or…

原文の言語: 英語

rag-code-review

When performing code review on a PR, diff, snippet, or "look at this change" request, first consult the corpus for related ADRs, coding standards, prior patterns, and similar files. Grounds review comments in the team's actual decisions instead of generic…

原文の言語: 英語

rag-deep-dive

Three-step multi-tool workflow — search the corpus, fetch the most relevant document in full, then find similar documents. Use when a single search_knowledge hit is not enough because the user asked a "how does X work end to end" or "explain the pattern" or…

原文の言語: 英語

rag-troubleshoot

When the user reports a bug, error message, stack trace, unexpected behavior, or "why is this broken" question, search the corpus first for prior occurrences, known fixes, or related runbooks. Prevents re-solving problems the team already solved. Trigger on…

原文の言語: 英語

rag-web-fallback

Only reach for external web search when the local corpus comes back empty or clearly insufficient. Forces the agent to try knowledge-rag first, then explicitly document why it needed to escalate. Prevents wasted API cost, latency, and (in air-gapped…

原文の言語: 英語