incident-response
Skill17 starsChanged 58 days agoMITView on GitHub
Run a production incident end to end — triage, contain, investigate, resolve — then close the loop with a blameless postmortem, failure-mode prevention, and updated standards.
81 other projects use a version of this.
Adopted by
Most recently taken up by
- anuragsarkar97/skillstheir own version, first seen Nov 8, 2026
- tigu77/tiguclawtheir own version, first seen Nov 8, 2026
- darkweb19/skillstheir own version, first seen Nov 8, 2026
- mdigital94/vibe-shield-plugintheir own version, first seen Nov 8, 2026
- nisarth/claude-skills-storetheir own version, first seen Nov 8, 2026
- aymardkouakou/claude-gh-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use background-jobs, data-modeling and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
YepAPISkillbackground-jobs
Queue workers with BullMQ/Inngest/Trigger.dev, job retries, dead letter queues, concurrency.
Also in 4 projects that use this
MicrosoftSkilldata-modeling
Use when the app needs to store or read data — records, a database, entities, CRUD, lists, "save/remember X", or per-user data with row-level security. This app's data layer is Rayfin's: you declare entities as TypeScript classes with decorators in rayfin/data/, register them in the schema, and read/write them through the typed rayfin-client. Covers: defining an @entity, field decorators, registering it, per-entity access with @role, owner-only row-level security, and the client query/mutation API. Triggers: data, database, model, entity, schema, table, record, CRUD, create, read, update, delete, list, store, save, persist, per-user, row-level security, RLS, access control, ownership.
Also in 7 projects that use this
YepAPISkilldata-pipelines
ETL patterns, cron scheduling, queue-based processing, and batch jobs with Inngest/BullMQ.
Also in 4 projects that use this
mmondoraSkillinfrastructure-as-code
Infrastructure as Code with Terraform and Pulumi. State management, modularity, drift detection, secrets handling. Use when provisioning cloud resources, writing Terraform/Pulumi modules, or managing infrastructure configuration.
Also in 5 projects that use this
csiddhant796-blipSkillthreat-detection
Use when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry. Covers hypothesis-driven threat hunting, IOC sweep generation, z-score anomaly detection, and MITRE ATT&CK-mapped signal prioritization.
Also in 3 projects that use this
motao123Skillbrowser-verification
Use when a change needs browser-level evidence such as UI flow checks, form interaction validation, console inspection, or end-to-end smoke verification. This skill focuses on observable behavior instead of code assumptions.
Also in 3 projects that use this
Other versions81 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 81
- anthropics/knowledge-work-plugins★ 35ksame name
- microsoft/hve-core★ 1.6ksame name
- hypnguyen1209/offensive-claude★ 401same name
- duyet/clickhouse-monitoring★ 303same name
- kid-sid/claude-spellbook★ 190same name
- irahardianto/awesome-agv★ 157same name
- harness/harness-skills★ 127same name
- nahid-sparktales/agent-dispatcher★ 59same name
- Happy-Technologies-LLC/happy-platform-skills★ 41same name
- drafthq/draft★ 40same name
71 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- adr-challengerSkill
- api-designSkill
- architecture-decisionsSkill
- async-systemsSkill
- code-reviewSkill
- database-engineeringSkill
- dora-metricsSkill
- engineering-economicsSkill
- nestjs-architecture-guardianSkill
- node-runtime-reliabilitySkill
- observabilitySkill
- performance-analysisSkill
- prd-reviewSkill
- production-readinessSkill
- release-planningSkill
- repo-onboardingSkill
- safe-refactoringSkill
- security-reviewSkill
- systematic-debuggingSkill
- test-strategySkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 4 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 68 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Stop user impact fast, then make the same failure impossible to repeat.
- Distinctive: line 30
Document the timeline as you go.
- Very specific: line 33
Write it using ~/.claude/engineering/POSTMORTEM_TEMPLATE.md (Kovi's standard template).
- Very specific: line 36
Never invent numbers, VINs, timestamps, or names — mark TBD instead.
- Distinctive: line 38
Remove the template's instruction block in the finished postmortem.
- Distinctive: line 45
Update the relevant governance doc so the standard now covers it.
“Common” is measured: kept by at least 6 in 10 of the 68 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Mission
Stop user impact fast, then make the same failure impossible to repeat.
When to use
- A production incident: outage, latency spike, error spike, data issue.
- Post-incident learning and prevention.
Handoff
- Receives from: orchestrator (incident category).
- Hands off to: systematic-debugging (root cause), release-planning (fix rollout).
Phase 1 — Triage & contain (URGENT)
- Triage: user impact? blast radius? getting worse?
- Contain BEFORE diagnosing: rollback, feature-flag off, rate-limit. Mitigation beats diagnosis when users are impacted.
- Declare severity. Assign an incident lead and a comms owner.
Phase 2 — Investigate
- Hand the root cause to systematic-debugging: top 3 hypotheses, one signal each.
- Gather traces, metrics, logs around the start time.
- Confirm the cause before claiming resolution.
Phase 3 — Resolve
- Confirm user impact has ended (with a signal, not a feeling).
- Document the timeline as you go.
Phase 4 — Blameless postmortem
- Write it using
~/.claude/engineering/POSTMORTEM_TEMPLATE.md(Kovi's standard template). - Blameless: describe systems and decisions, never blame a person.
- PT-BR body; identifiers, queries, and service names in English.
- Never invent numbers, VINs, timestamps, or names — mark
TBDinstead. - Fill the 5 Whys until the systemic cause; action items each get an owner and date.
- Remove the template's instruction block in the finished postmortem.
Phase 5 — Failure-mode prevention
For the failure that occurred, ask:
- What detection would have caught this sooner? (alert + threshold)
- What guardrail would have prevented it? (test, invariant, gate)
- What other code has the same failure mode? Update the relevant governance doc so the standard now covers it.
Red flags
- Diagnosing while users are still impacted.
- "Monitor closely" with no named signal/threshold.
- Postmortem with no class-level prevention.
Output
Incident timeline, confirmed root cause, mitigation applied, postmortem with owned action items, standards updated.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

