Score way matching (embedding and BM25), analyze vocabulary, and validate frontmatter. Use when testing how well a way matches prompts, checking cosine similarity or BM25 scores, inspecting the embedding engine status, or validating way files.
Turn Lambda functions, OpenAPI and Smithy APIs, and existing MCP servers into a unified MCP tool surface with Amazon Bedrock AgentCore Gateway. Use when giving an agent tools, configuring inbound or outbound Gateway auth, or enabling semantic tool discovery at scale.
Configure, validate, repair, and use a personal gpt-5.6-luna custom Codex agent for bounded delegated or parallel work. Use when the user asks to set up a Luna worker, verify or repair a Luna subagent configuration, or delegate clear repeatable, high-volume, research, testing, review, or implementation tasks to…
Coordinate multiple parallel subagents using stigmergic pheromone trails and/or explicit task queues in the code graph. Use when you need to parallelize work across multiple files or modules, run a swarm of agents, coordinate agents without direct messaging, or manage complex multi-step workflows. Triggers on "swarm"…
A local experiment for testing a goal command that keeps an AI coding session working until a stated condition is judged complete. It uses a separate language model to evaluate the conversation after each assistant turn.
Coordinate with other AI agents working on this same project. Use at the start of every session, and before editing any file, to adopt your identity, read the shared plan and task board, and lease the files you are about to change so two agents never edit the same file at once.
Install and manage AI agent skills, MCP servers, and agent workflows from the Awesome AI Agent Tools collection. Use this when the user wants to install skills, set up MCP servers, browse agent workflows, or explore the AI agent tool ecosystem. Supports Claude Code, Cursor, Codex, OpenCode, Gemini CLI, Copilot, and…
Use when creating, updating, reorganizing, or reviewing aipermission documentation. Maintains project-root summary docs and the central docs tree under docs/, using GitHub Markdown relative links, small linked notes, local Docker/MCP/API-token/approval/vault/security consistency, and AI-friendly context boundaries.
A routing guide for choosing the right coding-agent skill based on the size, stages, and long-term nature of a task. It can also account for skills the user or workspace has already specified.
Investigate every bug as if it were intentional. Ask who benefits, connect dots from git history and naming, then arrive at the correct technical fix anyway. Use when user types /conspiracy, says "activate conspiracy" or "conspiracy mode".
Configure the API key (or other credential) for a registered ACPX agentid (claude/codex/cursor/gemini/qwen/copilot/pi/droid/iflow/kilocode/kimi/kiro/opencode/tlamatini) end-to-end across data.keys, config.json (top-level + acpx.agents. .env), regensecrets.py, and verification via acpdoctor.
Analyzes infrastructure costs at 1K-100K user scales by reading the actual codebase, auto-detecting cloud providers, modeling per-action costs, and projecting total monthly spend with optimization recommendations.
Install, set up, and manage MCP servers using the mcpmu CLI. Use when the user wants to install mcpmu, register it as an MCP server, add/remove/list MCP servers, manage namespaces, set tool permissions, manage server-level denied tools, or expose servers via serve mode.
Analyze repos in a workspace — generate compressed codebase indexes (AGENTS.md), per-repo docs, cross-repo dependency map, and master TOC for AI agent consumption.
Handle /loop-style requests for finding, adapting, drafting, and preparing bounded agent loops without treating external loop catalogs as authorization.
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originalMIT
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: