38,064 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.
Create directly usable outbound phone-call Agent Skills that bind source and durable result-output contracts at the right level, connect data such as Google Forms, TikTok Ads, Notion, Airtable, local CSV, or custom systems to an MCP one-off call provider route, compile per-record call goals, enforce safety rules, and…
Use when Hermes needs staged self-improvement, explicit reviewable artifacts, or safe apply/discard workflows for memory, user, skill, or fact updates.
Generate production-grade Agent Skill packages through a structured 7-step pipeline: requirement analysis, architecture decisions, metadata crafting, body generation, quality audit, resource file creation, and usage documentation. Use when creating new Skills from scratch, upgrading low-quality Skills, or…
Audit generic AGENTS.md, CLAUDE.md, and SKILL.md instructions for deterministic drift and model-era obsolescence candidates, then generate evidence-backed, reversible remediation prompts. Use when users ask to clean up, modernize, retire, or evaluate accumulated coding-agent instructions. Do not use it to…
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite…
Canonical Runx skill-authoring implementation. Use for designing, creating, updating, improving, or adding harness coverage to a Runx skill package; it combines bounded agent judgment with native file writes, inspection, and safe harness validation. When a host skill-creator also triggers, use its general guidance but…
How OpenAcme is laid out — data dir, agents, skills, MCP servers, tasks, memory, the peer-notes convention. Read this when the user asks you to manage their workforce, set up an agent, install a skill, configure an MCP server, or explain how the platform works.
Audio notifications + AI-controlled config for Claude Code, Cursor IDE, and Codex CLI events. 39 hook events + 44 matcher variants, each with its own sound. Desktop toasts, TTS, webhooks, status line + per-subagent rows, rate-limit alerts. Auto-bridges to Cursor IDE 3.2.16+; native install via 'audio-hooks install…
★not rated 86
changed 9d agoA
tokens not measured
originalMIT
You say it, AutoCode ships it. 48 skills. Code to deployment in one session, with I-Lang v5.0 judgment: AI decides the small stuff, checks with you on the costly stuff.
★not rated 86 2mo agoA
tokens not measured
originalMIT
Architect/executor workflow over MCP — Claude Code or Google Antigravity drives a local LLM executor through structured phases, review gates, and telemetry.
★not rated 86 4d agoA
tokens not measured
originalMIT
Audit system prompts, agent prompts, router prompts, tool/function-call prompts, and coding-agent instructions as executable contracts. Use before writing or seeding prompts; blocks vague "fix this / write code" tasks missing ownership and verification. Works with Hermes, Claude Code, Codex, OpenCode, OpenClaw.
A set of rules for AI-assisted coding, including Chinese-language communication and comments, commit-message formatting, small changes, and human review of sensitive code.
Cria um SKILL.md completo para Claude Code a partir de qualquer workflow, sessão executada ou ideia nova. Acionar quando o usuário pedir para criar, montar, construir ou salvar uma skill — mesmo que não use a palavra "skill". Triggers: "cria uma skill", "transforma isso em skill", "quero automatizar esse processo"…
Create and edit Steward user-defined commands (UDCs). Use when the user wants to create, modify, or troubleshoot custom command workflows defined as YAML in the Steward/Commands folder.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Use when: running SkillOpt, training a skill, evaluating a skill, using the local mitko model on port 8000, working with the dotnetdebug benchmark, adding a benchmark, adding a backend, or optimizing agent instructions with SkillOpt in this repository.
Coordinate reusable monitored OpenAI Codex agents from Claude Code.
★not rated 85▲
+1 1mo agoA
tokens not measured
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: