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5-element persona framework template for creating Claude Code agents
Host interactive expert panel discussions on any topic. Dynamically generates master-level expert personas, facilitates structured debate using Hegelian dialectic patterns, and synthesizes...
Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent...
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Review and improve AI agent instruction documents (AGENTS.md, Claude.md, etc.) for quality, clarity, and effectiveness. Use when users request review of agent documentation, ask to evaluate...
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Guide for creating effective AGENTS.md files for Cursor. Use when (1) Creating new AGENTS.md files in project root, (2) Improving existing agent instructions, (3) Setting up project-specific...
Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for...
Process and analyze CSV, JSON, and text files with data transformation, cleaning, analysis, and visualization capabilities
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with...
Build resumable multi-agent workflows with durable execution, tool loops, and automatic stream recovery on client reconnection.
Design and coordinate multi-agent systems where specialized agents work together to solve complex problems. Covers agent communication, task delegation, workflow orchestration, and result...
AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion
Python development tooling configuration and best practices
Add Agentation visual feedback toolbar to a Next.js project
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations,...
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
Define and implement AI tools using @effect/ai's Tool and Toolkit APIs. Use when building LLM integrations with type-safe tool definitions, parameter validation, and handler implementations....
Parallel Agent Type Contracts