Browse skills

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

M07 Concurrency facilitates parallel execution of tasks for faster processing and improved performance in applications.

This skill simulates multiple cognitive processes in parallel for enhanced reasoning and complex problem-solving insights.

Orchestrates parallel debugging sessions across multiple environments, accelerating test iteration and root cause analysis.

Provides debugging guidance and assistance for software development workflows.

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

Optimizes Dask workflows for faster parallel processing and reduced resource consumption using advanced scheduling techniques.

M07 Concurrency provides a robust framework for managing parallel tasks and threads, boosting application performance and responsiveness.

This skill simulates multiple cognitive processes in parallel for deeper understanding and nuanced responses – boosting AI insight.

Enables parallel experimentation using Git worktrees within LGBARN's backend for efficient model training and version control.

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

Simultaneously explores multiple search paths to rapidly identify optimal solutions across complex datasets.

Bazel helps build and test software efficiently by managing dependencies and parallelizing tasks, speeding up development workflows.

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.

This skill swiftly identifies and fixes code style issues (linters) in multiple files simultaneously, boosting developer productivity.

Provides API guidance and assistance for software development workflows.

Manages Git worktrees for efficient parallel development and experimentation, boosting developer productivity by isolating branches.

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.

Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to 6 specialists, generates health score.

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

Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives impr

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".