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Found 57 Skills
Generate structured agent prompts with FOCUS/EXCLUDE templates for task delegation. Use when breaking down complex tasks, launching parallel specialists, coordinating multiple agents, creating agent instructions, determining execution strategy, or preventing file path collisions. Handles task decomposition, parallel vs sequential logic, scope validation, and retry strategies.
Wave-based parallel scheduling for DAG execution. Manages execution order, resource allocation, and parallelism constraints. Activate on 'schedule dag', 'execution waves', 'parallel scheduling', 'task queue', 'resource allocation'. NOT for building DAGs (use dag-graph-builder) or actual execution (use dag-parallel-executor).
Full autonomous engineering workflow using swarm mode for parallel execution
Multi-AI orchestration primitive. Delegate to specialized AI tools, collect outputs, synthesize. Use when: analysis, review, audit, investigation tasks need multiple expert perspectives. Keywords: orchestrate, delegate, multi-ai, parallel, synthesis, consensus, dag, swarm
Researches topics and trends for blog content with parallel multi-agent execution. USE WHEN orchestrator invokes research phase OR user says 'research topic', 'find trends', 'gather information for blog'.
Load PROACTIVELY when decomposing a user request into parallel agent work. Use when user says "build this", "implement this feature", or any request requiring multiple agents working concurrently. Guides task decomposition into parallelizable units, agent assignment with skill matching, dependency graph construction, WRFC loop coordination across up to 6 concurrent agent chains, and result aggregation.
Create implementation plans with tasks grouped by subsystem. Related tasks share agent context; groups parallelize across subsystems.
Update all system packages and tools in parallel — winget (Windows), Windows Update (Windows), npm globals, agent skills, and apt (Linux). Each update category runs as an independent parallel task, with winget packages also upgraded in parallel internally. Use when you want to bring everything up to date quickly.
Recursively find all git repositories and pull latest changes from remote IN PARALLEL. Use when syncing multiple projects across machines or after switching computers.
Execute a GRACE development plan in controller-managed parallel waves with selectable safety profiles, batched graph sync, and scoped reviews.
Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution.
AI-native software development lifecycle that replaces traditional SDLC. Triggers on "plan and build", "break this into tasks", "build this feature end-to-end", "sprint plan this", "absolute-human this", or any multi-step development task. Decomposes work into dependency-graphed sub-tasks, executes in parallel waves with TDD verification, and tracks progress on a persistent board. Handles features, refactors, greenfield projects, and migrations.