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Found 47 Skills
Independence-validated parallel fleet that runs each worker (claude -p or codex exec) in its own git worktree. Use when tasks touch non-overlapping files and you need merge-safe isolation (each worker on its own branch). For DAG-ordered one-shot workers with budgets, use dag-fleet. For headless iteration with a reviewer loop, use iterative-fleet.
Comprehensive Python/FastAPI backend code review with optional parallel agents
Comprehensive codebase quality audit with parallel agent orchestration, GitHub issue creation, automated PR generation per issue, and PM-prioritized recommendations. Use for code review, refactoring audits, technical debt analysis, module quality assessment, or codebase health checks.
Autonomous TDD development loop with parallel agent swarm, category evolution, and convergence detection. Use when running autonomous game development, quality improvement loops, or comprehensive codebase reviews.
Worker that runs parallel external agent reviews (Codex + Gemini) on code changes. Background tasks, process-as-arrive, critical verification with debate. Returns filtered suggestions with confidence scoring.
Use to review uncommitted changes and recent commits in the working tree. Dispatches 8 specialized review agents in parallel and returns a consolidated report
Use this method when fact-checking drafts that include dates, quantities, or causal claims by cross-referencing multiple independent sources.
Enhance a plan with parallel research agents for each section to add depth, best practices, and implementation details
Show status of all features in .dev/. Scans feature folders using parallel agents, generates a status report, and offers to archive completed features.
explore — Deep codebase exploration with parallel agents. Use when exploring a repo or discovering architecture.
DESIGN-CATALOG
Execute this skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.