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Skills IA devops cicd

Découvrez les skills devops cicd, comparez leurs dépôts et consultez leurs instructions.

Catégories: devops cicd

1,921–1,944 sur 7,550

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GitHub

pdca-framework

kenjudy

Human-supervised PDCA (Plan-Do-Check-Act) framework for AI-assisted code generation. Use when generating production code with AI agents to maintain quality, reduce technical debt, and keep humans engaged. Appli...

GitHub

initializing-project

jeanluciano

Intelligent project analysis with auto-framework detection and adaptive setup. Use when user wants to initialize Quaestor, setup a new project, or analyze existing project structure.

GitHub

reviewing-and-shipping

jeanluciano

Validate quality with multi-agent review, auto-fix issues, generate organized commits, and create PRs with rich context. Use after completing features to ensure quality gates pass and ship confidently.

GitHub

implementing-features

jeanluciano

Execute specification-driven implementation with automatic quality gates, multi-agent orchestration, and progress tracking. Use when building features from specs, fixing bugs with test coverage, or refactoring...

GitHub

docs-sync

sunholo-data

Sync AILANG documentation website with codebase reality. Use after releases, when features are implemented, or when website accuracy is questioned. Checks design docs vs website, validates examples, updates fea...

GitHub

test-coverage-guardian

sunholo-data

Analyze test coverage, identify gaps, detect dead code, and improve test quality. Use when user asks to check coverage, review tests, find untested code, or improve test robustness.

GitHub

github-issue-triage

sunholo-data

Monitor and triage GitHub issues against design docs and implementation status. Use when user asks to "check issues", "triage issues", "sync issues", "what issues are open", or wants to ensure issues are up-to-...

GitHub

benchmark-manager

sunholo-data

Create and manage AILANG eval benchmarks. Use when user asks to create benchmarks, fix benchmark issues, debug failing benchmarks, or analyze benchmark results.

GitHub

ailang-release-manager

sunholo-data

Create new AILANG releases with version bumps, changelog updates, git tags, and CI/CD verification. Use when user says "ready to release", "create release", mentions version numbers, or wants to publish a new v...

GitHub

ailang-sprint-executor

sunholo-data

Execute approved sprint plans with test-driven development, continuous linting, progress tracking, and pause points. Use when user says "execute sprint", "start sprint", or wants to implement an approved sprint...

GitHub

ailang-post-release-tasks

sunholo-data

Run automated post-release workflow (eval baselines, dashboard, docs) for AILANG releases. Executes 46-benchmark suite (medium/hard/stretch) + full standard eval with validation and progress reporting. Use when...

GitHub

b2c-code

SalesforceCommerceCloud

Deploy and manage code versions on B2C Commerce instances. Use when uploading cartridges, activating code versions, watching for file changes during development, or syncing local code to sandbox.

GitHub

deployment-automation

ecto

Guides deployment of Muni software to rovers (aarch64 cross-compilation, systemd) and depot (Docker Compose). Use when deploying firmware updates, installing services, configuring environments, troubleshooting...

GitHub

grey-haven-incident-response

greyhaven-ai

Handle production incidents with SRE best practices including detection, investigation, mitigation, recovery, and postmortems. Use when dealing with production outages, SEV1/SEV2 incidents, creating postmortems...

GitHub

grey-haven-testing-strategy

greyhaven-ai

Grey Haven's comprehensive testing strategy - Vitest unit/integration/e2e for TypeScript, pytest markers for Python, >80% coverage requirement, fixture patterns, and Doppler for test environments. Use when writ...

GitHub

grey-haven-documentation-alignment

greyhaven-ai

6-phase verification system ensuring code matches documentation with automated alignment scoring (signature, type, behavior, error, example checks). Reduces onboarding friction 40%. Use when verifying code-docs...

GitHub

grey-haven-observability-monitoring

greyhaven-ai

Implement observability and monitoring using Cloudflare Workers Analytics, wrangler tail for logs, and health checks. Use when setting up monitoring, implementing logging, configuring alerts, or debugging produ...

GitHub

grey-haven-linear-workflow

greyhaven-ai

Grey Haven's Linear issue workflow - creating well-documented issues, proper branch naming from issue IDs, commit message integration, PR linking, and status management. Use when creating issues, starting work,...

GitHub

grey-haven-security-practices

greyhaven-ai

Grey Haven's security best practices - input validation, output sanitization, multi-tenant RLS, secret management with Doppler, rate limiting, OWASP Top 10 for TanStack/FastAPI stack. Use when implementing secu...

GitHub

grey-haven-suite-audit

greyhaven-ai

Meta-level plugin suite auditor that uses subagents to analyze any plugin for usability improvements, missing agents, duplication, and workflow optimizations. Generates comprehensive reports with user-approved...

GitHub

grey-haven-devops-troubleshooting

greyhaven-ai

DevOps and infrastructure troubleshooting for Cloudflare Workers, PlanetScale PostgreSQL, and distributed systems. Use when debugging deployment issues, infrastructure problems, connection errors, or performanc...

GitHub

grey-haven-deployment-cloudflare

greyhaven-ai

Deploy TanStack Start applications to Cloudflare Workers/Pages with GitHub Actions, Doppler, Wrangler, database migrations, and rollback procedures. Use when deploying Grey Haven applications.

GitHub

grey-haven-project-structure

greyhaven-ai

Organize Grey Haven projects following standard structures for TanStack Start (frontend) and FastAPI (backend). Use when creating new projects, organizing files, or refactoring project layout.

GitHub

grey-haven-observability-engineering

greyhaven-ai

Production-ready monitoring, logging, and tracing using Prometheus, Grafana, OpenTelemetry, DataDog, and Sentry. Use when setting up production monitoring, implementing SLOs, distributed tracing, or performance...

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