systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures u...
Browse published AI skills maintained by bacchus-labs. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
58Repository stars across indexed skills
174Repository forks
58Average repository stars per indexed skill
3Repository stars may repeat across skills from the same repository.
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures u...
Autonomously implement tasks from specs, plans, or issues using subagents with TDD and code review
Validates specification consistency, identifies implementation gaps, reviews roadmap coherence. Ensures documentation aligns, tasks are realistic, and dependencies are clear.
Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches
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...
Use when facing 3+ logically independent failures (different features, different root causes) that can be investigated concurrently - dispatches multiple agents to investigate in parallel; requires either paral...
Use when completing tasks, implementing major features, or before merging to verify work meets requirements - dispatches code-review subagent to review implementation against plan or requirements before proceed...
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Comprehensive code review framework for evaluating implementations against plans, requirements, and quality standards. Provides structured analysis with prioritized, actionable feedback.
Verify integrity and completeness of governance framework using workspace-schema.json as single source of truth - checks directories, files, and .gitignore against schema
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.