github-project-management
AI-driven GitHub project management using swarm coordination, automated issue triage, project board synchronization, and intelligent task decomposition for efficient development workflows.
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299 skills found
AI-driven GitHub project management using swarm coordination, automated issue triage, project board synchronization, and intelligent task decomposition for efficient development workflows.
Production-grade Bash scripting assistant enforcing safety, maintainability, and ShellCheck compliance. Includes automated headers, pattern enforcement, and risk-aware file modification checkpoints.
Fetches expert perspectives from OpenAI Codex and Google Gemini for architecture, code reviews, and debugging, with transparent LLM synthesis.
Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.
Implement consumer-driven contract testing for microservices using Pact, schema validation, and API versioning to prevent breaking changes and ensure distributed team coordination.
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.
Comprehensive health assessment tool for Continuous Claude components including skills, agents, hooks, and memory systems.
Master professional TDD with the London (mockist) and Chicago (classicist) schools. Automate test-first workflows, style selection, and refactoring with AI agents.
Automated quality assurance system that validates markdown deliverables against defined checklists for PB-000 market research workflows.
Automate the migration of Netflix Conductor workflows to Temporal Python, including server orchestration, worker management, and workflow troubleshooting.
A comprehensive Next.js 15 development and project management skill for Claude Code, featuring Supabase integration, RBAC, and automated quality validation.
Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.