Coordinates an active production incident by establishing command, reducing blast radius, preserving evidence, communicating verified impact, restoring service, validating recovery, and creating owned follow-up actions. Use for outages, severe degradation, security or data-integrity events, failed releases, and urgent operational triage. Not for a normal local bug, routine alert tuning, or a postmortem after the incident is already closed.
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Stabilize first, learn second. Do not let diagnosis delay a safe reversible mitigation.
Record start time, incident commander, responders, severity, affected users and regions, known symptoms, recent changes, communication channel, and next update time. Use incident-record.md as the live log. Separate confirmed facts from hypotheses.
Use release-engineering for a failed rollout, security-and-hardening for an
active security boundary, and root-cause-debugging for deeper diagnosis after
the service is stable. Production mutations require the repository's normal
authority and approval; this skill does not grant it.
Publish concise updates with verified impact, current mitigation, user action if any, and next update time. Avoid speculative root causes. Close the incident only after critical paths, backlog recovery, data reconciliation, and alert state are checked.
Create a blameless timeline and a small set of owned, dated actions: regression proof, detection gap, recovery improvement, and prevention at the correct owner boundary. Track them outside the incident document.
Impact has ended, recovery is independently verified, data and queued work are reconciled or explicitly owned, communications are complete, and follow-up actions have owners and due dates.
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Designs and runs reproducible evaluations for AI agents, prompts, tools, skills, and model-backed workflows using realistic datasets, isolated baselines, objective assertions, rubric grading, trajectory analysis, cost/latency tracking, and regression comparison. Use when measuring agent quality, optimizing skill triggering, comparing prompts or models, or gating an AI feature release. Not for ordinary deterministic unit tests.
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Designs or reviews HTTP, REST, GraphQL, RPC, CLI, webhook, event, and service interfaces with explicit inputs, outputs, errors, compatibility, idempotency, pagination, authentication, versioning, and observability. Use when introducing or changing an API or cross-component contract. Not for internal implementation details with no boundary or for debugging one API failure; use root-cause-debugging there.
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Reviews an existing codebase for structural friction, unclear ownership, leaky or shallow interfaces, excessive coupling, misplaced state, poor testability, and risky dependency direction, then prioritizes evidence-backed improvement candidates. Use for architecture audits, modularization, modernization, or recurring cross-cutting change pain. Not for designing one new interface, simplifying a local function, or fixing a reproduced bug.
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Validates a running application, CLI, API, service, or generated artifact as a user or operator against a prewritten observable behavior contract while remaining source-blind. Use for acceptance checks, runtime proof, anti-fake probes, release smoke tests, or an independent companion to code review. Not for source-quality findings, root-cause diagnosis, or visual design judgment outside the contract.
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Closes a completed development branch by checking the final diff and proof, presenting merge, pull-request, keep, or discard options, and cleaning up only after the user or repository workflow chooses a path. Use when feature work is complete and the branch must be integrated or retired. Not for claiming a feature is complete before verification.
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Tests a real web user flow with a browser by asserting semantic behavior, network and loading states, keyboard access, responsive layouts, and stable visual evidence. Use for browser bugs, end-to-end UI behavior, responsive or accessibility checks, and screenshot baselines. Not for static source review without a browser or for backend-only tests.
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