board-meeting
Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions…
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Updated 10-16 00:02
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Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions…
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed…
Use when wiring an external agent framework (LangGraph, CrewAI, PydanticAI, Mastra, ADK, LlamaIndex, Agno, Strands, Microsoft Agent Framework, or others) into…
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Primarily the agent's internal-thinking skill — invoke it silently to model a problem, identify trade-offs, and decide what to do, BEFORE asking the user…
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying…
Compact the current conversation into a handoff document for another agent to pick up.
Use when the user wants to update, refresh, or reinstall the CopilotKit agent SKILLS (the SKILL.md files that teach this agent about CopilotKit). NOT for…
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context…
Fine-tune Gemma 4 and 3n models with audio, images, and text on Apple Silicon using PyTorch and Metal Performance Shaders.
Use for any CopilotKit question — adding it to an app, chat UI, frontend or server tools, generative UI, shared state, human-in-the-loop, agent frameworks…
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Karpathy's LLM Wiki: build/query interlinked markdown KB.
Operate a TreeSeed control plane through its current MCP capabilities for project, knowledge, governance, and execution work. Use when a task targets TreeSeed…
This skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading, just-in-time discovery, cross-agent handoff…
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Use the mcpc CLI to work with MCP (Model Context Protocol) servers from the shell - connect to a server as a persistent session, then list and call tools, read…
NousResearch Hermes Agent general-purpose integration Skill. Invoke the core capabilities of Hermes Agent through the CLI: - 🚀 Self-improving skill system (automatically create reusable skills from tasks) - 🧠 Persistent memory (FTS5 full-text search + LLM summarization) - 🤖 Sub-agent delegation (task isolation and parallel processing) - 🔌 MCP…
Use when another skill or agent needs a review panel assembled, retained, or converged — invoked by /review, /plan-review, and code-reviewer, not directly by…
Suggest community skills based on recent activity in other plugins. Checks whether the community has built something relevant to a task and mentions it once,…
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
Prepare a verified checkpoint before condensing an agent conversation at a phase boundary. Use during long tasks when context is repetitive; preserves…
AI skill discovery and capability management system. The only intelligent skill shopping guide in the Chinese-speaking world, helping users discover, evaluate, install, and manage Agent skills. The curated recommendation library is version-managed and updated every 2-3 days, always maintaining the latest and best recommendations. Use this skill ANY TIME the user needs to find, discover, search, install,…
Browser automation CLI using DOMShell MCP server. Maps Chrome's Accessibility Tree to a virtual filesystem for agent-native navigation.