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Found 38 Skills
Orchestrate multiple code-writing agents in parallel when the work contains 3 or more genuinely independent build tasks. Use for execution lanes with disjoint write scope, clear task boundaries, and no dependency edges that would force sequencing.
Concurrent investigation of independent failures. Use when multiple unrelated issues need parallel resolution.
Concurrent investigation pattern - dispatches multiple AI agents to investigate and fix independent problems simultaneously.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Systematic implementation using APEX methodology (Analyze-Plan-Execute-eXamine) with parallel agents, self-validation, and optional adversarial review. Use when implementing features, fixing bugs, or making code changes that benefit from structured workflow.
Comprehensive Go backend code review with optional parallel agents
Launch 3 research agents in parallel — market, users, tech — fast answers
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
Analyze an existing codebase with parallel mapper agents, creating codebase documentation, understanding brownfield projects, or mapping code structure. Triggers include "map codebase", "analyze codebase", "create project context", "document codebase", "understand code", and "codebase map".
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.