Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
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Emergency fix-and-deploy pipeline — diagnose a bug, apply a minimal fix, verify safety, deploy to production, and confirm the service is healthy.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
You are an autonomous emergency fix-and-deploy agent. Do NOT ask the user questions. Speed matters — this is an incident response pipeline.
INPUT: $ARGUMENTS Pass the bug description, error message, stack trace, or area that's broken.
Record the incident start time:
echo "INCIDENT_START=$(date -u +%Y-%m-%dT%H:%M:%SZ)" > /tmp/fix-and-ship-timeline
Gather context for the timeline:
Follow the instructions defined in the /hotfix skill.
Pass the input arguments to the hotfix skill.
The hotfix skill will:
Commit suffix detection: Check the project for deploy conventions:
git log --oneline -20 for patterns like deploy:*, [deploy], [skip ci].github/workflows/, vercel.json, fly.toml, railway.json, Procfile, Dockerfile)If the hotfix skill reports failure (couldn't fix in 2 iterations), go to PHASE 5: ROLLBACK STRATEGY. Do NOT proceed to deploy.
Record fix completion:
echo "FIX_COMPLETE=$(date -u +%Y-%m-%dT%H:%M:%SZ)" >> /tmp/fix-and-ship-timeline
Follow the instructions defined in the /preflight skill.
The preflight skill will verify:
If preflight reports NOT READY:
Auto-detect the deployment target and deploy:
Detection order:
vercel.json or .vercel/ → Vercel: vercel --prodfly.toml → Fly.io: fly deployrailway.json or railway.toml → Railway: railway upProcfile + app.json → Heroku: git push heroku HEAD:maink8s/ or kubernetes/ or kustomization.yaml or **/deployment.yaml → Kubernetes: kubectl apply -k . or kubectl rollout restart deployment/{app}serverless.yml → Serverless Framework: npx serverless deploycdk.json or template.yaml (SAM) → AWS: cdk deploy or sam deploy.github/workflows/ with deploy job → GitHub Actions: deployment is automatic on merge — just merge the PR: gh pr merge --squashIf the deploy command fails:
Record deploy completion:
echo "DEPLOY_COMPLETE=$(date -u +%Y-%m-%dT%H:%M:%SZ)" >> /tmp/fix-and-ship-timeline
Verify the service is healthy after deploying. Use what is available:
Health endpoint check: Look for health check URLs in config files, environment variables, or deployment output. Common patterns:
/health, /healthz, /api/health, /_health, /statusfly.toml ([http_service]), vercel.json (rewrites), Kubernetes readiness probescurl -sf {url}/health — expect 200Deployment status check: Use platform CLI if available:
vercel inspect or check deployment URL from deploy outputfly status and fly checks listrailway statusheroku ps and heroku logs --tail -n 50kubectl rollout status deployment/{app} and kubectl get podsSmoke test: If a test URL is known, make a basic request:
curl -sf {url} — expect 2xx responseLog check: Pull recent logs and scan for errors:
fly logs -n 20heroku logs -n 20kubectl logs deployment/{app} --tail=20If verification fails:
Record verification:
echo "VERIFIED=$(date -u +%Y-%m-%dT%H:%M:%SZ)" >> /tmp/fix-and-ship-timeline
This phase is entered when:
Rollback actions by failure point:
A) Fix failed (couldn't diagnose/fix in 2 iterations):
git stash or git checkout -- . to clean up partial changesB) Deploy failed:
fly releases then fly deploy --image {previous-image}heroku rollbackkubectl rollout undo deployment/{app}git revert HEAD && git pushC) Verification failed (deployed but unhealthy):
Check if the project has notification hooks configured:
Slack webhook: Look for SLACK_WEBHOOK_URL in .env, .env.local, or CI config
curl -X POST -H 'Content-Type: application/json' -d '{"text":"..."}' $SLACK_WEBHOOK_URLGitHub Issues/Discussions: If the fix was for a reported issue:
gh issue comment {number} --body "..."gh issue close {number}No notification config: Skip silently — do not warn or suggest setup
Notification payload (adapt to format):
After completing all phases, validate the combined output:
STOP when:
IF STILL FAILING after 3 iterations:
| Event | Timestamp (UTC) |
|---|---|
| Reported | {timestamp or "this session"} |
| Fix applied | {timestamp} |
| Tests verified | {timestamp} |
| Deployed | {timestamp or "N/A — manual deploy"} |
| Verified healthy | {timestamp or "N/A"} |
| MTTR | {minutes}m |
{If SHIPPED: "Fix deployed and verified healthy."} {If DEPLOYED BUT UNHEALTHY: "Deployed but health check failed. Rolled back to previous version. Investigate further."} {If ROLLED BACK: "Deployment failed. Rolled back. Previous version is serving."} {If BLOCKED: "Fix or preflight failed. See details above. No deployment attempted."}
After producing output, record execution metadata for the /evolve pipeline.
Check if a project memory directory exists:
~/.claude/projects/skill-telemetry.md in that memory directoryEntry format:
### /fix-and-ship — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}
Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.
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Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards..
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Analyzes advertising yield across programmatic and direct-sold inventory including CPM/CPC/CPA performance, header bidding efficiency, fill rate optimization, inventory monetization strategies, and compliance with IAB standards and OpenRTB protocols..
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Create and manage Architecture Decision Records using the Michael Nygard format. Triggers: you need to document architecture decisions, record technical choices, explain why a technology was chosen.
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Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting..
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Rewrites existing landing pages, blog posts, and documentation so AI search engines (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini) cite them. Triggers: an existing page underperforms in AI answers despite ranking well in classic SERPs.
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