
Provides API design guidelines for REST endpoints, GraphQL schemas, versioning strategies, error handling conventions, logging, observability, and microservice architecture patterns. Use when designing APIs, reviewing API architecture, implementing new endpoints, setting up monitoring, or planning service boundaries.
Core behavioral corrections for LLM coding. Reduces over-engineering, surfaces assumptions, enforces surgical changes, and defines verifiable success criteria. Use when writing code, reviewing code, fixing bugs, or implementing features.
Clean up merged and stale branches from local and remote repositories. Use when branch list is cluttered or after merging PRs.
Diagnose and fix CI/CD pipeline failures: GitHub Actions errors, build failures, test timeouts, TLS/auth issues, platform-specific failures, dependency resolution problems, and deployment errors. Use when CI checks fail, builds break, tests timeout, or pipeline errors need systematic root-cause analysis and resolution.
Run comprehensive code quality analysis: cyclomatic complexity, code smells, SOLID principle violations, dead code detection, duplication analysis, and maintainability scoring. Use when reviewing code quality, conducting code audits, checking technical debt, analyzing complexity metrics, or evaluating any file or directory for quality issues.
Comprehensive markdown document review - anchors, accuracy, SSOT, cross-references, and redundancy analysis.
Provides documentation standards for README files, API references, code comments, changelogs, architecture docs, and project cleanup guidelines. Use when writing documentation, creating README files, documenting APIs, adding code comments, maintaining changelogs, or cleaning up project files.
Update documentation files with an execution-first approach: read source, plan briefly, edit immediately, summarize changes, and commit. Use when updating docs, syncing documentation with code changes, or batch-editing markdown files.
Enforce complete implementation of all tiers/difficulty levels for tiered features. Prevents partial implementations.
Provides workflow guidelines for problem-solving, git commits, GitHub issues, PRs, build management, and testing. Use when planning tasks, creating issues, submitting PRs, managing builds, or writing tests.
Provides workflow guidelines for problem-solving, git commits, GitHub issues, PRs, build management, and testing. Use when planning tasks, creating issues, submitting PRs, managing builds, or writing tests.
Analyze and fix failed CI/CD workflows for a pull request. Use when CI checks fail, GitHub Actions show red, build/test/lint errors block a PR, or the user says 'fix CI', 'fix the build', 'PR is failing', or 'check failed'. Supports solo, team, and batch modes with automated retry and escalation.
Design and build domain-specific agent team harnesses. Analyzes project domains, selects architecture patterns (Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, Hierarchical, Generator-Evaluator, Long-Running Session), defines specialized agents (.claude/agents/), and generates skills (.claude/skills/) with orchestration. Use when building new agent teams, designing multi-agent workflows, creating domain harnesses, restructuring agent architectures, setting up long-running multi-session projects, or configuring agent frontmatter (tools, memory, permissions).
Automate GitHub issue workflow - select issue, create branch, implement, build, test, and create PR.
Conduct structured research on any topic: web search, codebase analysis, and document synthesis into organized reports. Use when investigating technologies, analyzing alternatives, gathering reference materials, fact-checking claims, or producing technical documentation from research. Use this skill whenever the user asks to research, investigate, compare, or survey a topic.
Provides documentation standards for README files, API references, code comments, changelogs, architecture docs, and project cleanup guidelines. Use when writing documentation, creating README files, documenting APIs, adding code comments, maintaining changelogs, or cleaning up project files.
Diagnose and fix CI/CD pipeline failures: GitHub Actions errors, build failures, test timeouts, TLS/auth issues, platform-specific failures, dependency resolution problems, and deployment errors. Use when CI checks fail, builds break, tests timeout, or pipeline errors need systematic root-cause analysis and resolution.
Performance optimization analysis: CPU/memory profiling, caching strategies, database query optimization, connection pooling, concurrency patterns, memory leak detection, and throughput improvement. Use when code is slow, memory usage is high, latency needs reduction, or conducting performance reviews before release.
Comprehensive security audit covering OWASP Top 10, input validation, authentication, authorization, secret management, dependency vulnerabilities, and injection attack prevention. Use when reviewing security posture, implementing auth flows, handling user input, auditing dependencies, conducting penetration test prep, or before production deployment.
Review pull requests with comprehensive analysis covering code quality, security vulnerabilities, performance implications, test coverage, documentation completeness, and architectural impact. Use when reviewing PRs, conducting code reviews, evaluating merge readiness, or assessing change impact across the codebase.
Generate document index files (manifest, bundles, graph, router) for project documentation. Creates docs/.index/ with searchable registry, feature-grouped bundles, cross-reference dependency graph, and query routing. Supports flat mode (generic projects, script-driven) and grouped mode (projects with doc_id frontmatter, Claude-curated).
Create well-structured GitHub issues using the 5W1H framework with proper labels and acceptance criteria.
Create a release with automated changelog generation from commits since last release using semantic versioning.
Provides API design guidelines for REST endpoints, GraphQL schemas, versioning strategies, error handling conventions, logging, observability, and microservice architecture patterns. Use when designing APIs, reviewing API architecture, implementing new endpoints, setting up monitoring, or planning service boundaries.
Provides comprehensive coding standards for quality, naming conventions, error handling, concurrency, and memory management. Use when writing new code, reviewing code, fixing bugs, or refactoring existing code.
Performance optimization analysis: CPU/memory profiling, caching strategies, database query optimization, connection pooling, concurrency patterns, memory leak detection, and throughput improvement. Use when code is slow, memory usage is high, latency needs reduction, or conducting performance reviews before release.
Comprehensive security audit covering OWASP Top 10, input validation, authentication, authorization, secret management, dependency vulnerabilities, and injection attack prevention. Use when reviewing security posture, implementing auth flows, handling user input, auditing dependencies, conducting penetration test prep, or before production deployment.
Provides comprehensive coding standards for quality, naming conventions, error handling, concurrency, and memory management. Use when writing new code, reviewing code, fixing bugs, or refactoring existing code.
Comprehensive git repository status with actionable insights. Shows working directory, branch info, recent activity, and potential issues.