38,215 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Interactive, multi-phase workflow for authoring a new public asb- skill from one of Jason Cohen's concepts. Invoke explicitly via /create-asb-skill — auto-invocation is disabled to avoid accidentally kicking off this long workflow.
CodeAct via Monty. Use when looping over many files (8+), cross-referencing results from multiple sources, aggregating data across directories, or chaining 5+ dependent tool calls. Collapses N round-trips into one sandboxed Python run via scripts/codeact.py. NOT beneficial for <5 files or simple grep-then-view …
One-time setup of a project as a harness ENVIRONMENT — the Software 3.0 half that follows context-specs add. Generates the project-specific artifacts an LLM must read the repo to write (AGENTS.md, bootstrap-worktree.sh, local-checks.sh), installs the project-owned /intent, seeds the Expert (long-term memory) skeleton…
End-to-end project improvement — plan, branch, delegate execution, verify. Calls /plan for analysis, then delegates fixes to agents. Use when "improve project", "swarm improve", "send agents to fix", "refactor project X", "upgrade project". Do NOT use for planning only (use /plan), single tasks (use /delegate), or own…
ANA — Agent-Native Agent. Attach a watch-a-dashboard + talk-to-a-coding-agent runtime to any web app, or run the standalone base. A coding agent runs inside tmux; chat is injected via paste-buffer and the session is mirrored via capture-pane — zero dependencies (no MCP, no bridge, no hooks). The whole runtime is one…
★not rated 42 8d agoA
tokens not measured
AGPL-3.0
Use when someone asks for an AIOS audit, asks to score their setup against the Four Cs, or says "is my AIOS working" / "audit my setup" / "find gaps in my AIOS". Produces a Four-Cs scoreboard with top-3 fixes ranked by leverage.
The Principles section below grounds every trigger. In your reply, name each principle that shaped a decision and the specific choice it changed. Cite only principles whose leaf SKILL.md you read this session.
Guide creating and reviewing skills that extend Claude with specialized knowledge, workflows, or tool integrations. Covers SKILL.md structure, frontmatter quality, trigger design, eval pipelines, and packaging. Triggers on create a skill, review this skill, new skill, optimize skill, skill quality.
Model Context Protocol (MCP) Gateway & Registry - Central hub for managing tools, resources, and prompts for MCP-compatible LLMs. Translates REST APIs into MCP, builds virtual MCP servers with security and observability, and bridges multiple transports (stdio, SSE, streamable HTTP).
Comprehensive Mastra framework guide. Teaches how to find current documentation, verify API signatures, and build agents and workflows. Covers documentation lookup strategies (embedded docs, remote docs), core concepts (agents vs workflows, tools, memory, RAG), TypeScript requirements, and common patterns. Use this…
To create a new server, copy the ping-server.js for the pattern and use the MCP SDK documentation Add the server to servers.json so it will show up in the cli and readme and gallery Do not print anything to console.log since this is a stdio service and you can't write to it without breaking the protocol Look up the…
An MCP gateway that aggregates your existing MCP servers and lets you define which servers and individual tools each agent or subagent can access. Solves Claude Code's MCP context window waste where all tool definitions load upfront instead of being discovered when actually needed. Runs locally from the…
★not rated 41 9mo agoA
tokens not measured
originalMIT
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step…
Use when Codex work should route bounded implementation to lower-cost workers and reserve Sol for risky plan review or final evidence gates, or when installing or validating this workflow.
A coding guide for adding WebMCP tools to JavaScript or TypeScript projects. WebMCP lets AI agents call selected application functions through a standard interface.
Use when starting any non-trivial task, when wondering "is there a skill for this", or after finishing work that used a librarian recommendation. Applies in every agent connected to the skill-librarian MCP server.
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: