Browse skills

Efficiently distributes tasks across multiple agents simultaneously to accelerate complex workflows and achieve faster results.

This skill executes multiple tasks concurrently for faster completion – ideal for streamlining workflows and boosting productivity.

Automates complex task sequences using established workflow patterns like sagas, chains, and parallel processing for improved efficiency.

This skill orchestrates multiple AI subagents to collaboratively develop solutions, boosting efficiency and innovation through parallel processing.

Davila7's dispatching skill efficiently launches and manages multiple parallel agents for complex task decomposition and accelerated execution.

Davila7's parallel agents efficiently execute complex tasks by dividing them across multiple simultaneous AI workers for faster results.

Provides AI agents guidance and assistance for software development workflows.

Simultaneously execute multiple agent instances to accelerate complex tasks and explore diverse solution pathways efficiently.

This skill orchestrates multiple AI subagents to collaboratively develop solutions, boosting efficiency and innovation through parallel processing.

Efficiently distributes tasks across multiple parallel agents to accelerate complex problem solving and achieve optimal results.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

Parallelizes GitHub issue investigation and task dispatching using multiple AI agents for faster resolution.

This skill lets you create and manage multiple AI subagents within a single agent, boosting complex task automation and parallel processing.

Dynamically distributes tasks to multiple parallel agents for faster, more efficient completion using lgbarn's intelligent dispatching.

This Parallel Task agent swiftly executes multiple tasks concurrently, boosting efficiency and speeding up workflows dramatically.

Efficiently dispatches tasks to multiple parallel agents for faster completion and improved overall performance.

Orchestrates multiple parallel agents from hainamchung to rapidly explore solutions and optimize complex tasks.

Provides API guidance and assistance for software development workflows.

Coordinate multi-agent development pipelines using shared JSON task files. Supports Linear, DAG, and Debate modes for AI agent orchestration across code, test, docs, and monitor agents.

Automates complex multi-agent negotiations and contract drafting based on specified goals and constraints.

Orchestrate complex development with AUTOMATIC parallel subagent execution, continuous dispatch scheduling, dependency analysis, file conflict detection, and IOSM quality gates. Analyzes task dependencies, builds critical path, launches parallel background workers with lock management, monitors progress, auto-spawns from discoveries. Use for multi-file features, parallel implementation streams, automated task decomposition, brownfield refactoring, or when user mentions "parallel agents", "orchestrate", "swarm", "continuous dispatch", "automatic scheduling", "PRD", "quality gates", "decompose work", "Mixed/brownfield".

Dispatch development tasks to Claude Code with automatic callback on completion. Supports Agent Teams for parallel dev+test, cost controls, model fallback, and MCP integration.