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Found 64 Skills
Patterns for parallel subagent execution using Task tool with run_in_background. Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.
N coordinated agents on shared task list (compatibility facade over team)
This skill should be used when the user asks to "configure moon", "set up moonrepo", "create moon tasks", "run moon commands", "configure moon workspace", "add moon project", "moon ci setup", "moon docker", "moon query", "migrate to moon v2", or mentions moon.yml, .moon/workspace.yml, .moon/toolchains.yml, moon run, moon ci, or moonrepo in general.
Autonomous workflow execution pipeline with CSV wave engine. Session discovery → plan validation → IMPL-*.json → CSV conversion → wave execution via spawn_agents_on_csv → results sync. Task JSONs remain the rich data source; CSV is brief + execution state.
Unified TDD workflow skill combining 6-phase TDD planning with Red-Green-Refactor task chain generation, and 4-phase TDD verification with compliance reporting. Triggers on "workflow-tdd-plan", "workflow-tdd-verify".
Autonomous AI Project Agent & Cron Task Runner. Orchestrates repetitive AI-driven engineering tasks with state persistence (Memory) and advanced workflow controls.
Phased software engineering execution for large refactors, migrations, feature work, testing efforts, and modularization. Executes through strict planning, workspace setup, dependency analysis, PRD-driven parallel implementation, and merge phases. Each subagent runs in an isolated Ralph workspace (CLAUDE.md + prd.json + progress.txt) and executes the Ralph agent loop autonomously. Use when a task needs isolated workspaces, atomic commits, parallel branches, and controlled merge sequencing.
Coordinates 3 specialized audit workers (query efficiency, transaction correctness, runtime performance). Researches DB/ORM/async best practices, delegates parallel audits, aggregates results into single Linear task in Epic 0.
Spec-driven development framework with iterative refinement. Orchestrates feature development from intent to implementation via structured specs and task breakdown. Triggers on "/spec.plan", "/spec.refine", "/spec.clarify", "/spec.tasks", "/spec.run", "I want to build", "I want to add", "create spec", "spec-driven", "feature spec".
Design exploration with parallel agents. Use when brainstorming ideas, exploring solutions, or comparing alternatives.
Evidence-grounded to-be design (ADRs + design doc) and an implementation orchestration plan (a machine-readable task ledger). Activates when the user asks to design a target state, plan the work, or produce a task plan for a goal.
Design and generate Snowflake Procedures, Java UDTFs, and Task orchestration using AVA placeholders and shard-based parallel execution (00..99).