38,442 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 review process for deciding whether a project skill still matches the work it is meant to guide. It checks the skill’s trigger text, displayed description, instructions, supporting files, and boundaries with project documentation.
Per-IDE setup walkthroughs for using @mongez/agent-kit with Claude Code, Cursor, Codex, Kiro, Gemini CLI, GitHub Copilot, Aider, and Antigravity. Each walkthrough shows the exact files agent-kit creates, the --target flag to pass, the reload quirks, and a copy-pasteable package.json snippet.
Scaffold the AI-assisted coding governance package into a target project repository — copies the two entry files (AGENTS.md at the root and a thin CLAUDE.md) plus the companion rule files into an ai-governance/ directory, then interviews the user to fill in the placeholders and to author the active client's profile.…
Use when generating the read-only data-access tools a customer-support agent uses to diagnose an end user's live state — reading a project's backend to propose a tool catalog plus the database access SQL (restricted read-only role, column grants, row-level security), for mandatory human review. Triggers: "discover…
A set of instructions for creating and maintaining Forge plugins. Forge plugins are local extensions that can add tools, commands, and other integration points to Forge.
Lightweight smart project memory for Codex. Use when the user wants to initialize or maintain persistent Codex project memory, create a multi-project workspace, add a new project with reusable context files, recover context in new chats, write session snapshots, compact important conclusions into durable files, route…
Work on code-agnostic, the CLI that centralizes MCP servers, rules, skills, agents, and workspace config, then compiles and syncs them into Codex, Cursor, and OpenCode. Use when editing this repo, explaining how code-agnostic works, or changing its config compiler, import, plan, apply, status, workspace, rule, skill…
Design and generate AI Agent role/personality definitions using the SOUL/IDENTITY/AGENTS three-layer prompt architecture. Use when: (1) Creating a new AI Agent persona from scratch, (2) Writing or editing SOUL.md, IDENTITY.md, or AGENTS.md files, (3) Designing role prompts for AI assistants, chatbots, or autonomous…
Initialize or update repository-level agent operating instructions, AGENTS.md, quality workflow docs, execution-plan templates, and harness guidance for an AI-agent-driven software project. Use when Codex is asked to set up a new repository for agent-driven development, bootstrap or merge AGENTS.md, auto-select…
Audit and optimize OpenClaw workspace documents (AGENTS.md, SOUL.md, USER.md, TOOLS.md, IDENTITY.md, HEARTBEAT.md, BOOT.md, MEMORY.md, memory/) for redundancy, dead content, format compliance, cross-file conflicts, and token efficiency. Use when user asks to audit workspace files, check document health, reduce token…
Repository harness for agentic software development. Use when the user wants a repo to follow Harness Engineering or harness-first coding practices, asks to bootstrap or maintain AGENTS.md, architecture docs, execution plans, verification loops, repo-local automation, or requests harness-first setup for future…
Intelligent task orchestrator that analyzes requests and delegates to specialized agents. Use as the default agent for complex tasks requiring planning, implementation, and review.
A workflow for a main coding agent to coordinate smaller agents that search, edit code, and run commands. It defines how tasks are split, how progress is reported, and what happens when an agent fails.
Run one bounded ESRA review after a major architecture or skill change, repeated failure, or an explicit full-cycle request. Select only the meta-skills justified by observable evidence; skip routine successful work. Triggered by "orchestrate evolution", "run full ESRA cycle", "improve self-development cycle", "hermes…
A software-engineering approach for preparing a code repository so an AI agent can work through tasks independently. It combines clear rules, useful documentation, automated feedback such as tests and CI, and checks that verify the result.
Research the project and generate a holistic AGENTS.md file at the repo root. Use when the user says "init agents.md", "create AGENTS.md", or the project lacks agent instructions.
Generate copy-paste bash scripts for Ralph Wiggum/AI agent loops (Codex, Claude Code, OpenCode, Goose). Use when asked for a "Ralph loop", "Ralph Wiggum loop", or an AI loop to plan/build code via PROMPT.md + AGENTS.md, SPECS, and IMPLEMENTATIONPLAN.md, including PLANNING vs BUILDING modes, backpressure, sandboxing…
★not rated 2 7mo agoA94 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: