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Found 1,258 Skills
Use PAL MCP to orchestrate multiple AI models (Gemini, OpenAI, Grok, Ollama) for code reviews, debugging, planning, and CLI bridging
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.
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.
Run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs.
Documentation-first task execution with quality checks and progress tracking. Use when working with task lists, implementing features, or executing multi-step work to ensure systematic completion with proper documentation review.
Use when coordinating non-trivial implementation work, executing implementation plans, or modifying AGENTS.md/CLAUDE.md.
Multi-agent swarm coordination for complex tasks. Uses hierarchical topology with specialized agents to break down and execute complex work across multiple files and modules. Use when: 3+ files need changes, new feature implementation, cross-module refactoring, API changes with tests, security-related changes, performance optimization across codebase, database schema changes. Skip when: single file edits, simple bug fixes (1-2 lines), documentation updates, configuration changes, quick exploration.
Orchestrate multi-service AWS workflows with autonomous agents. Coordinates across compute, storage, identity, and observability services for intelligent cloud automation.
Convene 11 role-specialized Claude agents to debate technical decisions in parallel, with the invoking Claude acting as CEO
Manage concurrent background workers with scheduling, dependencies, health monitoring, and automatic disabling of failing workers.
How an AI agent plans, builds, and deploys a complete Ethereum dApp. The three-phase build system for Scaffold-ETH 2 projects. Use when building a full application on Ethereum — from contracts to frontend to production deployment on IPFS.
Multi-agent orchestration for Claude Code with Team mode, autopilot, deep interview, and CLI workers