发现 databases cicd 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Automated release coordination and deployment with swarm orchestration for seamless version management, testing, and deployment across multiple packages. Use for release pipelines, version coordination, deploym...
Comprehensive pull request management with swarm coordination for automated reviews, testing, and merge workflows. Use for PR lifecycle management, multi-reviewer coordination, conflict resolution, and intellig...
Orchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment. Use for release planning, automated versioning, artifact building, progressiv...
GitHub Actions workflow automation for intelligent CI/CD pipelines with adaptive optimization. Use for workflow creation, pipeline optimization, security scanning, failure analysis, and automated deployment str...
Comprehensive performance benchmarking, regression detection, automated testing, and performance validation. Use for CI/CD quality gates, baseline comparisons, and systematic performance testing.
GitHub issue-based swarm coordination for intelligent task decomposition and progress tracking. Use for transforming issues into multi-agent tasks, automated triage, task breakdown, and issue lifecycle manageme...
AI swarm orchestration and management in Flow Nexus cloud. Use for deploying, coordinating, and scaling multi-agent swarms for complex task execution.
Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis. Use for automated multi-agent review, security vulnerability analysis, performance bot...
This skill enforces cross-platform compatibility best practices for Expo apps targeting iOS, Android, and web. It should be used when creating new features, components, or screens to ensure they work correctly...
Git workflow management including branching, commits, PRs, and conflict resolution
Pack repositories into AI-friendly files with Repomix (XML, Markdown, plain text). Use for codebase snapshots, LLM context preparation, security audits, third-party library analysis.
Git operations with conventional commits. Use for staging, committing, pushing, PRs, merges. Auto-splits commits by type/scope. Security scans for secrets.
Fix bugs, errors, test failures, CI/CD issues with intelligent routing. Use when reporting bugs, type errors, log errors, UI issues, code problems. Auto-classifies complexity and activates relevant skills.
Deploy to Cloudflare (Workers, R2, D1, KV, Pages), Docker containers, GCP (Cloud Run, GKE). Use for serverless, edge computing, CI/CD pipelines, container orchestration.
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when you have a spec or requirements for a multi-step task, before touching code
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...
Inspect GitHub PR for CI failures, merge conflicts, change requests, and unresolved review threads. Create fix plans and implement after user approval. Resolve review threads and notify reviewers after fixes.
Performs release-level QA checks for JU-DO-KON!, identifying risk, regressions, and readiness gaps.
Use when setting up GitHub Actions CI/CD for Legal Workbench, configuring OCI secrets, or troubleshooting Oracle Cloud CLI. Reference for automated pipelines.
Use when deploying Legal Workbench to Oracle Cloud, building Docker images, or checking service health. Invoke via /deploy.
Release a new version of AllBeads. Use when the user wants to ship, release, publish, or tag a new version. Handles version bumping, quality checks, tagging, pushing, and homebrew tap updates.
Multi-repo orchestration for AI agent workflows. Aggregate beads across repositories, manage contexts, and coordinate distributed work across microservices and polyrepo architectures.
Automated deployment orchestration with rollback, blue-green, and canary deployment strategies
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。