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Found 19 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.
Launch 3 research agents in parallel — market, users, tech — fast answers
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".
Comprehensive iOS/SwiftUI code review with optional parallel agents
Comprehensive Go backend code review with optional parallel agents
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.
Comprehensive React/TypeScript frontend code review with optional parallel agents
Fixes GitHub issues with parallel analysis. Use to debug errors, resolve regressions, fix bugs, or triage issues.
Enhance a plan with parallel research agents for each section to add depth, best practices, and implementation details
Process large codebases (>100 files) using the Recursive Language Model pattern. Orchestrates parallel sub-agents to map-reduce across files without context rot. Use when: analyzing large repositories; auditing security or auth across many files; finding patterns across 50+ files; processing large log files or data dumps
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.