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Found 3 Skills
AI SDLC change-impact and lifecycle recovery workflow. Use when a requirement, acceptance criterion, decision, API contract, risk assumption, or other traced source changed after downstream artifacts were created and an AI assistant must identify stale artifacts, affected lifecycle stages, and evidence-backed reopen or revalidation actions without silently rewriting authoritative state. Supports `--quick-flow` for focused trace scanning and `--full-flow` for strict state and source-evidence gates.
Evidence-grounded as-is architecture analysis and change-impact (blast-radius). Activates when the user asks to map the architecture, assess dependencies or coupling, or evaluate "what would change if we…".
Explain large or complex pull requests as a navigable HTML guide, tracing user journeys from entrypoints through changed code. Use when asked to understand a PR or build a guided walkthrough of its changes.