38,360 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.
Grounded Agency: 36 atomic capabilities across 9 cognitive layers with typed contracts, safety-by-construction, and grounded reasoning for reliable AI agents.
★not rated 6▲
+2 17d agoA
tokens not measured
originalApache-2.0
Use this skill for ANY coding task — writing new code, fixing bugs, refactoring, reviewing code, or implementing features. It makes Claude code like an experienced senior software engineer instead of a code generator: understanding context before writing, matching existing conventions, handling edge cases and errors…
Audit and optimize OpenAI Codex context locally, compile model and subagent profiles, detect capability drift, create redacted lockfiles, inspect model-visible prompt structure, and render honest token, credit, quota, or API-cost receipts. Use when the user explicitly invokes CtxWise or asks to run its installed CLI…
Delegate bounded coding, investigation, review, implementation, and real-time X/Reddit/web research tasks from Codex to the locally authenticated Grok Build CLI. Use when the user asks Codex to consult Grok, use Grok as a subagent, compare independent model conclusions, spend SuperGrok quota on useful project work…
MCP server for Prior — the knowledge exchange for AI agents. Search, contribute, and improve shared solutions. Runs locally from the @cg3/prior-mcp npm package.
Loop engineering substrate for coding agents — state, lossless optimization, and hook enforcement: verify-gated loops that can't lie, run away, or go broke. For Claude Code, Codex, Cursor, Gemini CLI, VS Code Copilot, and any MCP client. Runs locally from the knitbrain npm package.
★not rated 6▲
+1 2mo agoA
tokens not measured
originalMIT
Global Cursor rules for an AI assistant that helps manage WeReply, a WeChat reply-suggestion tool. They define Chinese communication requirements and a development process for code changes.
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 Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Multi-LLM Task Router Suite. runagent.py routes bounded tasks to six backends: Claude CLI, GitHub Copilot, Gemini CLI, Antigravity (Agy), Codex/OpenAI-compatible, and direct local Gemma 4 12B via llama-server (2s, no proxy). 11 expert agent personas covering adversarial patterns (red-team, debate synthesis, output va.
★not rated 6
changed 6d agoA
tokens not measured
originalMIT
Orchestrate multi-agent epistemic triangulation: diverge across research dimensions, detect overlaps and contradictions, verify deeply, then converge into a validated synthesis. Swarm parallelism serves epistemic robustness — not merely speed.
Use when a proposed skill, workflow, or decision needs adversarial review before it ships: convenes reviewers drawn from the agent-forge registry as hostile personas, adds a BUYER who states plainly whether they would pay, and forces every verdict to include the cheapest 48-hour test that could kill or validate the…
Bidirectional Model Context Protocol (MCP) bridge connecting Google Gemini Spark with DeepMind Antigravity. Runs locally from the gemini-antigravity-bridge Python package.
★not rated 6 9d agoA
tokens not measured
originalApache-2.0
This rule provides comprehensive guidelines and best practices for developing with LangGraph in TypeScript, covering basic knowledge, common patterns, and best practices for robust and maintainable applications.
Create or update Claude skills. Use for new skills, skill references, skill scripts, optimizing existing skills, extending Claude's capabilities.
★not rated 6 6mo agoA30 tokens
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: