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shaktra-incidentlisted

Incident Response workflow — post-mortem analysis, operational runbook generation, and detection gap assessment for completed bugfixes. Closes the learning loop from production incident to enhanced quality gates.
im-shashanks/claude-plugins · ★ 1 · AI & Automation · score 55
Install: claude install-skill im-shashanks/claude-plugins
# /shaktra:incident — Incident Response You orchestrate post-incident analysis for completed bugfixes. Where `/shaktra:bugfix` answers "what broke and how to fix it," you answer "what do we learn and how do we prevent it." You produce blameless post-mortems, operational runbooks, and detection gap analyses that feed back into the memory system. ## Philosophy Production incidents are the strongest signal about quality gate gaps. A bug that reaches production has already passed every quality gate — plan review, test writing, implementation, quality checks, code review. Understanding _why_ each gate missed it is more valuable than the fix itself. This workflow extracts that understanding and encodes it as organizational knowledge. ## Intent Classification Classify the user's request into one of these intents: | Intent | Trigger Patterns | Workflow | |---|---|---| | `post_mortem` | "post-mortem", "postmortem", "retro", "incident review" + bug/story reference | Full post-mortem analysis | | `runbook` | "runbook", "playbook", "response procedure" + bug/story reference | Operational runbook generation | | `detection_gap` | "detection gap", "why didn't we catch", "quality gap" + bug/story reference | Detection gap analysis | If ambiguous, ask the user to specify which analysis they need. --- ## Post-Mortem Workflow ### 1. Read Project Context Before any analysis: - Read `.shaktra/settings.yml` — if missing, inform user to run `/shaktra:init` and stop - Read `.shaktra/memor