Execute the same request with 5 different specialized agents in parallel, then synthesize results with a reviewer agent to produce the best possible outcome. Use when users want comprehensive...
Activate maximum performance mode with parallel agent orchestration for high-throughput task completion
AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion
Create agents for financial analysis, investment research, and portfolio management. Covers financial data processing, risk analysis, and recommendation generation. Use when building investment...
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it,...
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it,...
Agentic memory system for writers - track characters, relationships, scenes, and themes
An AI Agent Engine built in Go. Features portable skills (SKILL.md), human-in-the-loop approvals, structured memory, and OpenAI-compatible tool calling. Single binary & Docker ready.
Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major...
This skill should be used when the user wants Claude Code to act purely as a manager/architect while Gemini CLI does all the coding work. Claude Code drives Gemini like an intern - issuing tasks,...
A simple hello-world skill example. Use this to learn how to structure your own Agent Skills.
Verification discipline for completion claims. Use when about to assert success, claim a fix is complete, report tests passing, or before commits and PRs. Enforces evidence-first workflow.
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations,...
Terminal-style React UI for Claude Agent SDK with keyboard navigation, tool approval, and dark theme
Cohere LangGraph agents reference for building ReAct agents, multi-tool workflows, agents with memory, and human-in-the-loop patterns. Covers both prebuilt and custom agent architectures.
Use when working with error debugging multi agent review
Use when working with error debugging multi agent review
Use when working with error debugging multi agent review
Use when working with error debugging multi agent review