38,381 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 project structure for keeping an AI agent’s memory outside the model in three layers: persistent notes, an index, and detailed records. It also provides templates, approval controls, event logs, context-saving procedures, and weekly review tools.
★not rated 4 27d agoA
tokens not measured
originalMIT
Iterative worker-reviewer cycle that spawns a critic subagent to score work 1-10 and provide actionable feedback, then revises until a quality gate is met. Use when implementing features, writing specs, reviewing existing code, or completing any task where quality matters more than speed. Trigger phrases: "use…
Generate an interactive HTML dependency map of your AI harness: skills, slash commands, subagents, and MCP servers with typed, evidence-backed edges for architecture auditing and documentation.
★not rated 4 3d agoA
tokens not measured
originalMIT
Manage resident peer agents: long-running monitors that live inside the pi session, tick on minute intervals, watch the main agent's work, and push findings back mid-turn. Use when the user asks to launch/stop/ask a peer, watcher, monitor, observer, sentinel, or auditor; wants standing review, drift/scope watching…
Manage reusable agent skills with the installed skill-manager CLI. Invoke only when the user explicitly asks to "manage skills" or clearly asks for help managing their agent skills, or when the user invokes $managing-skills. Do not invoke for requests that merely mention a skill or independently ask to install…
Discover the models and MCP tool servers registered in an AI Gateway and integrate them into any application — call a model over the OpenAI-compatible passthrough, connect MCP tools, or scaffold a runnable agent. Read-only against the gateway — consumption only.
★not rated 4▲
+1 2d agoA
tokens not measured
originalMIT
Author, structure, and validate an agent skill. Use when creating a new SKILL.md, substantially rewriting an existing one, deciding what to bundle as scripts vs references, or importing an external skill. Covers frontmatter, body structure, depth gates (when to split a skill), the script-vs-checklist decision…
Use this skill when designing, generating an MVP blueprint for, auditing, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, permissions, system prompts, planning, goals, context…
A coordinator for AI-assisted novel writing that connects tools for handling source material, characters, story settings, drafting, continuation, and consistency checks.
Operates the syntx.ai MCP tools (chat, ask, stream-message, files, design, audio, video, folders, auth, model catalog). Use when calling syntx-ai-mcp tools and the JSON schema alone is insufficient — long prompts that exceed the default ask timeout, model identifier selection, chat lifecycle (create / continue /…
Official Perssua MCP server — lets Claude, ChatGPT, Grok and other MCP clients start Perssua sessions with a configured assistant and context. Runs locally from the @perssua/mcp npm package.
★not rated 4 4d agoA
tokens not measured
originalMIT
A SQLite mailbox for local LLM agents — one HTTP API, an ActivityStreams messaging model, and a local stdio MCP server so AI coding agents can message each other. No external services. Runs locally from the agent-inbox Python package.
★not rated 4▲
+1 yesterdayA
tokens not measured
GPL-3.0
Compile branching decisions outside model generation, route virtualized specialist skills, and minimize model input/output across tools, files, history, images, subagents, search, and recall. Use for token-heavy or reasoning-heavy work or reversible skill-vault management.
Self-hosted WhatsApp MCP server: connect your personal WhatsApp number to Claude, ChatGPT or any LLM, with a web UI and configurable auto-reply. Runs locally from the personal-whatsapp-mcp Python package.
★not rated 4▲
+1 23d agoA
tokens not measured
originalMIT
Converts Claude Code skills to Gemini CLI extensions and vice versa. Use when the user wants to make a skill cross-platform compatible, port a skill between platforms, or create a universal extension that works on both Claude Code and Gemini CLI.
★not rated 4 5mo agoA
tokens not measured
originalMIT
Use for structured Codex development workflows with Architect, Executor, and Reviewer roles, especially repo scans, task packets, review reports, verification, and two-Codex handoffs.
Stop guessing why your team is slow. These 30+ skills give Claude the frameworks to diagnose delivery (DORA), design for domains (DDD), map architecture honestly (C4), and track whether your releases actually spread (Rogers Diffusion). One install. Use whichever skill fits the conversation.
★not rated 4 22d agoA
tokens not measured
originalMIT
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
★not rated 4 1mo agoA26 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: