This is the production-grade SKILL file that the rich brain loads when it needs to delegate. It covers the complete decision tree: when to delegate, who pulls data, how to launch, how to wait, how to read results. Paths use / placeholders — adapt to your layout.
Use AgentReceipt CLI as a local evidence sidecar for AI coding sessions. Use when an agent needs compact replay/focus reports, patch-equivalence checks, schema outputs, or deterministic JSON workflows.
Run Colla Agent, a traceable bounded collaboration loop in which the current Codex session implements a project and Antigravity plans and reviews it read-only. Use for complex or high-risk coding, design, refactoring, debugging, document, media, data, or multi-file project work when the user asks for Colla Agent…
Use when designing, architecting, planning, or debugging any system with an LLM in it — agents, agent loops, RAG and retrieval, prompt pipelines, multi-agent or subagent orchestration, tool use and MCP, memory and context management, evals, or production guardrails. Trigger BEFORE committing to an approach — choosing…
A Chinese-language guide for finding, evaluating, creating, improving, testing, and packaging Agent Skills, which are reusable instructions that guide an AI coding or task agent.
Create and maintain AGENTS.md files that provide AI coding agents with project context, commands, code style, and boundaries. Use when updating an existing AGENTS.md, creating a new AGENTS.md for a repository, or improving agent instructions for a codebase.
Run the Cursor-backed Omnigent Trio loop from the current Claude/Codex UI session when the user explicitly says “Trio Omnigent”, “Omnigent Trio”, or invokes /trio-omnigent. Do not use for an ordinary native Trio request.
Index of the AgentOps patterns for operating LLM agents in production — telemetry, guardrails, resilience, evaluation, token budgets, least privilege, and incident response — with a pointer to the full open-source course. Use when you want an overview of how the AgentOps skills fit together, or where to start…
Use when the user wants to proactively push a project forward by implementing its next feature. Reads project artifacts (specs' "future work" sections, README, TODOs, recent commit trajectory, codebase gaps), infers candidate features, asks the user to pick one, then implements it on an isolated branch with…
Use when orchestrating multiple agents in Orca: fan out parallel workers, pipeline work across stages, adversarially verify findings, run judge panels or loop-until-dry sweeps, or delegate a task and get the result back. You write a Plan definition in real JavaScript — a worker-workflow graph of worker, action, and…
Use this read-only skill before consequential agent actions to separate capability from authority. It checks identity, scope, purpose, consent, evidence, revocation, appeal, continuity/exit, and legitimacy; it never grants permission or executes the action.
Interactive bilingual course skill for learning loop engineering through Loopath. Use when a user wants to start, continue, install, teach, study, verify, or be quizzed on the Loopath course; when they ask for an agent-guided course on coding-agent loops, harness design, AGENTS.md, action schemas, tool use, policy…
Run, supervise, or explicitly cancel long-running, background, async, or detached processes from OpenAI Codex CLI and wake or resume the owning Codex session on process completion, without LLM/model polling while the job runs. Use when asked to run something in the background, start or stop a long build, test…
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Aggressive token and output minimization for coding agents. Use when the user wants concise technical Spanish, minimal useful output, small patches, and strict scope control.
Use this skill when the user wants to create, scaffold, or configure a new Gemini CLI extension. It provides expert guidance on manifest structure, MCP servers, Agent Skills, and release workflows.
A voice-control rule for a gated Korean-and-English voice assistant. It defines which wake phrases start listening and how spoken replies must be formatted.
Strength VIII — The Patience. Holds the question open when everyone else rushes to close it. Breaks the LLM default of premature closure — converging on an answer before the problem is fully understood, because ambiguity is uncomfortable and having AN answer feels better than having NO answer. Use this skill when a…
Audits AI agent projects for security risks in prompts, tools, memory, RAG, and permissions. Use when: the user asks to review agent security, harden an agentic system, check for prompt injection risks, audit tool permissions, or secure an AI assistant before deployment. Do NOT use for: projects with no agentic…
Agent Ops is the skill of managing and coordinating multiple agents to work together effectively. It involves assigning tasks, tracking progress, resolving conflicts, and ensuring that agents collaborate smoothly to achieve shared goals.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: