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.
A skill for creating, changing, evaluating, packaging, and improving other coding-agent skills. It gives rules for deciding what belongs in the main instructions versus references, assets, scripts, and configuration files.
Use when Antigravity MCP is available locally and you want to query workspaces, check quota, run lightweight Antigravity asks, or generate images through the local antigravity-mcp-server.
Set up or refine solution-level governance for MCAF repositories: root and project-local AGENTS.md, rule precedence, solution topology, skill routing, and maintainability-limit policy placement. Use when bootstrapping a repo, restructuring a multi-project solution, or tightening agent rules.
Bootstrap AI coding assistance into ANY project. Supports 4 AI tools — Claude Code, Qoder, Codex, OpenCode. All tools share EXACTLY the same split-file architecture (rules/skills/agents/hooks/references loaded on-demand). Only the entry file name and config directory name differ.
Create or audit Claude Code skills. Synthesizes source material (articles, frameworks, talks) bottom-up into strategic, interactive skills — or audits existing skills through a multi-lens framework. Use when creating new skills, turning articles into skills, capturing AI workflows as skills, auditing/reviewing…
Clear Thought MCP server with modular architecture - 38 reasoning operations for systematic thinking. Runs locally from the @waldzellai/clear-thought-onepointfive npm package.
★not rated 53 10mo agoA
tokens not measured
originalMIT
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Use when user asks to create, write, edit, or test a skill. Also use when documenting reusable techniques, patterns, or workflows for future Claude instances.
Handles multi-module software goals through mandatory multi-agent investigation, design, task decomposition, independent review, and acceptance validation with iterative rework. Use when the user invokes /asdev, /goal, goal mode, multi-agent, acceptance-agent, task-decomposition, call-site, call-chain investigation…
Survey an existing codebase and generate Investiture doctrine files — VECTOR.md, CLAUDE.md, ARCHITECTURE.md — by combining Investiture defaults with patterns inferred from the project. Run this once on a project that does not yet have doctrine. Then run invest-doctrine to validate what was generated.
Use this skill when interacting with MCP servers via CLI. Prefer mcpx over direct MCP SDK/protocol calls for tool discovery, schema inspection, invocation, and Unix-style output composition.
A routing guide for using Grok, xAI's AI service, for chat, searches on X, image and video generation, text-to-speech, speech-to-text and agent connections.
A skill for creating and coordinating groups of AI agents to handle complex tasks. It can divide work among specialized agents and run parts in parallel or in sequence.
Drives fleet, a CLI that runs parallel Claude Code, Codex, and OpenCode sessions in git worktrees or existing directories. Use when handing independent work to a background agent session, creating a git worktree to work in, starting a session on a chosen agent/model/effort, sending a message to or checking on a…
★not rated 52 3d agoASkillSpector: warn101 tokens
originalApache-2.0
Agnes AI model integration skill for OpenAI-compatible text, image, video, and agent workflows. Use when Codex needs to configure Agnes AI API access, select or document Agnes models including agnes-2.5-flash, agnes-image-2.1-flash, and agnes-video-v2.0, write Python/Node/curl examples, debug common API errors, poll…
Multi-agent workflow engine for Go. Declarative YAML workflows; an LLM coordinator routes events through hub-and-spoke mailboxes. Three CLI verbs (flow / goal / agent) cover deterministic execution, dynamic planning, and one-shot agent calls. Use this when you need to run a multi-step LLM pipeline with branching…
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: