GitHub
workflow-metrics
Track, evaluate, and analyze multi-agent AI workflows using Azure AI Foundry cloud evaluations. Use when logging agent trajectories, computing evaluation metrics, measuring plan adherence, or generating workflo...
Skills IA tools cicd
Découvrez les skills tools cicd, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools cicd
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Explorer
GitHub
junta-project-overview
Core project principles, architecture guidelines, and tech stack for the Junta monorepo application.
GitHub
junta-project-overview
Core project principles, architecture guidelines, and tech stack for the Junta monorepo application.
GitHub
nomos-release-process
Automates release workflows for the Nomos monorepo per RELEASE.md including version tagging, changelog promotion, GitHub releases, and module-specific versioning. Use this when preparing releases, creating tags...
GitHub
build-and-release
新しいバージョンのリリース作業を自動化（バージョン更新、コミット、タグ作成、プッシュ）
GitHub
ci-workflow
PR作成後のCI監視、失敗時の分類と対応、自動マージ、環境クリーンアップまでの完全なワークフローを定義
GitHub
container-use-guide
container-useを使用したクローズドな開発・テスト環境の構築手順、並行作業ガイドライン、技術スタック別設定例を提供
GitHub
release-workflow
バージョン整合性チェック→提案→承認→GitHub Release作成までの標準リリースフロー（マルチエコシステム対応）
GitHub
release-workflow
バージョン整合性チェック→提案→承認→GitHub Release作成までの標準リリースフロー（マルチエコシステム対応）
GitHub
ci-workflow
PR作成後のCI監視、失敗時の分類と対応、自動マージ、環境クリーンアップまでの完全なワークフローを定義
GitHub
github-issue-state-management
GitHub Issueのラベルとメタデータを使用した環境状態管理。container-use/worktree/ホスト環境すべてからアクセス可能なSingle Source of Truth
GitHub
container-use-guide
container-useを使用したクローズドな開発・テスト環境の構築手順、並行作業ガイドライン、技術スタック別設定例を提供
GitHub
github-issue-state-management
GitHub Issueのラベルとメタデータを使用した環境状態管理。container-use/worktree/ホスト環境すべてからアクセス可能なSingle Source of Truth
GitHub
code-review
This skill should be used when the user asks to "провести ревью", "проверить код", "найти проблемы в коде", "code review", "найти баги", "проверить на ошибки", "analyze code quality", "ревью PR", "review pull r...
GitHub
go-microservice
This skill should be used when the user asks to "создать микросервис", "добавить домен", "имплементировать фичу", "использовать Uber FX", "создать репозиторий", "добавить gRPC endpoint", "добавить HTTP endpoint...
GitHub
deploy-to-production
Deploy current develop branch to production. Use when user says /deploy, "deploy to production", "push to heroku", "release to production", "deploy changes", "ship it", or "release changes". Commits changes, pu...
GitHub
hlab-auditor
Reviews changes for compliance and risk when a PR needs validation; use it after implementation to judge architecture, security, and robustness. Output is a PASS/FAIL verdict with findings and required fixes.
GitHub
hlab-executor
Converts an approved spec into production-grade bash when implementation is needed; use it after planning to build idempotent executors. Output is code changes plus a summary of commands, diffs, and tests execu...
GitHub
hlab-planner
Designs atomic specs from ambiguous requests when you need a modular plan; use it to define scope, architecture, and inputs. Output is a docs/specs/-SPEC.md with user story, flow diagram, file manifest, env int...
GitHub
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent fo...
GitHub
gemini-analyzer
Manages Gemini CLI for large codebase analysis and pattern detection. Use proactively when Claude needs to analyze extensive code patterns, architectural overviews, or search through large codebases efficiently...
GitHub
deployment-workflow
GitHub commits, Vercel deployments, PWA configuration, and rollback procedures.
GitHub
repomix-package-builder
Create targeted repomix XML packages for AI code analysis. Suggests templates (metadata-flow, code-review, architecture, context) and file patterns based on task objectives. See reference.md for detailed workfl...
GitHub
hitl-design
Design human-in-the-loop workflows including review queues, escalation patterns, feedback loops, and quality assurance for AI systems.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.