Browse published AI skills maintained by stharrold. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
26Repository stars across indexed skills
13Repository forks
0Average repository stars per indexed skill
1Repository stars may repeat across skills from the same repository.
Meta-skill (Phase 0) for bootstrapping new repositories with workflow system. Interactive callable tool that copies skills, documentation, and standards from source repository. Use when: Starting a new project...
Shared utilities for file deprecation, directory structure creation, TODO file updates, workflow lifecycle management, archive management, and VCS abstraction (GitHub/Azure DevOps PR feedback methods). Used by...
Detects Python project configuration and provides commands for testing, building, coverage, and containerization. Use when: Starting workflow, detecting project stack, need TEST_CMD Triggers: detect stack, wh...
Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - H...
Manages git operations: worktree creation, branch management, commits, PRs, semantic versioning, daily rebase workflow, and PR feedback handling. Use when: Creating branches/worktrees, committing, pushing, ver...
Orchestrates git workflow for Python feature/release/hotfix development. Loads and coordinates other skills based on current context. Includes PR feedback handling via work-item generation. Use when: - User sa...
Manages git operations: worktree creation, branch management, commits, PRs, semantic versioning, daily rebase workflow, and PR feedback handling. Use when: Creating branches/worktrees, committing, pushing, ver...
Detects Python project configuration and provides commands for testing, building, coverage, and containerization. Use when: Starting workflow, detecting project stack, need TEST_CMD Triggers: detect stack, wh...
Creates SpecKit specifications (spec.md, plan.md) in feature/release/hotfix worktrees. Detailed implementation guidance. Use when: In worktree, need specifications, implementation planning Triggers: write spe...
Meta-skill (Phase 0) for bootstrapping new repositories with workflow system. Interactive callable tool that copies skills, documentation, and standards from source repository. Use when: Starting a new project...
Shared utilities for file deprecation, directory structure creation, TODO file updates, workflow lifecycle management, archive management, and VCS abstraction (GitHub/Azure DevOps PR feedback methods). Used by...
Manages git operations: worktree creation, branch management, commits, PRs, semantic versioning, daily rebase workflow, and PR feedback handling. Use when: Creating branches/worktrees, committing, pushing, ver...
Orchestrates git workflow for Python feature/release/hotfix development. Loads and coordinates other skills based on current context. Includes PR feedback handling via work-item generation. Use when: - User sa...
Enforces quality gates: 80% test coverage, passing tests, successful builds, semantic versioning. Runs before PR creation. Use when: Running tests, checking coverage, validating quality, versioning Triggers:...
Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - H...
Interactive callable tool that creates BMAD planning documents (requirements, architecture, epics) in main repository on contrib branch. Three-persona Q&A system generates comprehensive planning before feature...
Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - H...
Meta-skill (Phase 0) for bootstrapping new repositories with workflow system. Interactive callable tool that copies skills, documentation, and standards from source repository. Use when: Starting a new project...
Interactive callable tool that creates BMAD planning documents (requirements, architecture, epics) in main repository on contrib branch. Three-persona Q&A system generates comprehensive planning before feature...
Detects Python project configuration and provides commands for testing, building, coverage, and containerization. Use when: Starting workflow, detecting project stack, need TEST_CMD Triggers: detect stack, wh...
Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - H...
Creates SpecKit specifications (spec.md, plan.md) in feature/release/hotfix worktrees. Detailed implementation guidance. Use when: In worktree, need specifications, implementation planning Triggers: write spe...
Orchestrates git workflow for Python feature/release/hotfix development. Loads and coordinates other skills based on current context. Includes PR feedback handling via work-item generation. Use when: - User sa...
Manages git operations: worktree creation, branch management, commits, PRs, semantic versioning, daily rebase workflow, and PR feedback handling. Use when: Creating branches/worktrees, committing, pushing, ver...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.