Google Docs

Allow AI systems to read and edit Google Docs.

Io.Github.RoleModel/Optics Mcp

MCP Server for Optics Design System documentation and token usage.

My MCP Serv

Description of my MCP server

RAGScore

Generate QA datasets & evaluate RAG systems. Privacy-first, any LLM, local or cloud.

audio

Unity audio system — AudioMixer groups, snapshots, spatial audio, audio source pooling, compression per platform.

Frontend Design System

Memory Engine v1.5.2

A memory and learning system for Claude Code, built with hooks and markdown.

/audit -- System Health Audit

Triggers the **auditor** agent to analyze `database/dqiii8.db` and produce a structured health report.

llm-docs-optimizer

Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring. Use when asked to improve, optimize, or enhance documentation for AI assistants, LLMs, c7score, Context7, or when creating llms.txt files. Also use for documentation quality analysis, README optimization, or ensuring docs follow best practices for LLM retrieval systems.

hunt-analytics-generation

Generate query-agnostic analytics that model adversary behavior by translating hunt investigative intent into analytic definitions grounded in schema semantics. This skill is used to define how behavior should manifest in data before query execution or validation, and works best when informed by system internals, adversary tradecraft, a structured hunt focus, and suggested data sources.

configuring-agent-brain

Installation and configuration skill for Agent Brain document search system. Use when asked to "install agent brain", "setup agent brain", "configure agent brain", "setting up document search", "installing agent-brain packages", "configuring API keys", "initializing project for search", "troubleshooting agent brain", "pip install agent-brain", "agent brain not working", "agent brain setup error", "configure embeddings provider", "setup ollama for agent brain", or "agent brain environment variables". Covers package installation, provider configuration, project initialization, and server management.

Io.Github.Tobs Code/Cozo Memory

Local-first memory system for AI agents with hybrid search and graph reasoning

Io.Github.ConanMcN/Fragments Mcp

Design system MCP with 9 tools for component discovery, rendering, and a11y auditing

agents-md-mapper

This skill should be used when creating, refreshing, or validating a repository `AGENTS.md` so it stays concise, current, and grounded in repository evidence. Use when `AGENTS.md` is missing or stale, after refactors or tooling changes, when new docs become the system of record, or when adding lightweight drift checks.

openclaw-self-healing

4-tier autonomous self-healing system for OpenClaw Gateway with persistent learning, reasoning logs, and multi-channel alerts. Features Claude Code as Level 3 emergency doctor for AI-powered diagnosis and repair.

/diagnose — Systemic Self-Diagnostic

Five-level diagnostic hierarchy for the psychology agent cogarch. Higher numbers run faster with less depth; lower numbers run slower with more thoroughness. Level 1 replaces manual QA.

cinematic-ui

Design and build websites with film-inspired visual systems, director-driven art direction, storyboard-first layout planning, and cinematic motion. Use when the user asks for a cinematic site, movie-style landing page, director-inspired UI, film-noir, sci-fi, romance, thriller, action, animation, or a movie-like website aesthetic, including requests phrased in Chinese. Do not use for generic web design unless the user explicitly wants a film or director reference.

stepback

Use when hitting the same error after 2+ fix attempts, when multiple symptoms share a common system, or when fixes feel like whack-a-mole. Forces architectural reassessment over symptom-patching. Also use proactively when a fix touches infrastructure-level config.

architecting-systems

Guides clean, scalable system architecture during the build phase. Use when designing modules, defining boundaries, structuring projects, managing dependencies, or preventing tight coupling and brittleness as systems grow.

system-info

Get system information using executable scripts

product-architect

Complete product development system with 31 specialized agents and 23 frameworks. Use when user asks to build a product, write a PRD, create a roadmap, plan an MVP, design an app, do a security audit, create a financial model, plan hiring, launch a product, set up operations, prepare for IPO, or write a compliance policy. Also triggers on help me plan, product strategy, go-to-market, fundraising, pitch deck, unit economics, competitive analysis, user personas, sprint planning, SOP, checklist for, or how do I start a company. Do NOT use for general knowledge questions, coding tutorials, or creative writing unrelated to product development.

daily-review

End of day review - compare planned vs actual, update task statuses. Part of chief-of-staff system.

disk-usage

Analyze disk space usage, filesystem mounts, and storage allocation on Linux systems. Identifies large files and directories, checks partition usage, and reports inode consumption. Use when the user asks about disk full errors, free space, storage usage, du/df output, finding large files, or checking which directories consume the most space.

/ai-llm-safety — AI/LLM Safety Design Enforcement

Every system that involves LLM agents, tool use, or prompt construction MUST treat AI safety as a first-class constraint. Prompt injection is the SQL injection of the AI era — and it's harder to fix after deployment.

System R Risk Intelligence

Pre-trade risk validation and position sizing for AI trading agents via G-formula and Iron Fist.

excalidraw-diagrams

Creates Excalidraw diagrams programmatically. Use when the user wants flowcharts, architecture diagrams, system designs, or any visual diagram instead of ASCII art. Outputs .excalidraw files that can be opened directly in Excalidraw or VS Code with the Excalidraw extension.

write-check-v2

Write security checks using the CheckDefinitionV2 system. Use when creating new checks, converting V1 checks to V2, or when the user asks to implement a vulnerability scanner check. Covers defineCheckV2, defineRegexCheck, CheckContext API, parameter injection, testing with testCheck/mockTarget, and registration.

ia-agent-native-architecture

Design agent-native applications where agents replace UI users as the primary actor. Use when designing MCP tools, agent-loop architectures, shared-workspace file patterns, or self-modifying agent systems.

Io.Github.Ansvar Systems/Us Regulations Mcp

US compliance: HIPAA, CCPA, SOX, GLBA, FERPA, COPPA, FDA, EPA, FFIEC, NYDFS + 4 state privacy laws

Anima MCP Server

Connect AI coding agents to Anima Playground, Figma, and your design system.

In.Creo Memories/Mcp Server

Memory system for AI agents with semantic search. Store and recall memories with ease.

building-installers

Builds NixOS installer ISOs for hosts using the autoInstaller module. Use when creating installer USBs, adding new hosts to the installer system, or troubleshooting installer issues.

bunli

Build type-safe CLIs with Bun. Use when: (1) Creating a new CLI application with Bun, (2) Adding commands with defineCommand/option(), (3) Building a plugin system, (4) Using prompt/spinner APIs for interactive CLIs, (5) Building TUI components, (6) Publishing CLI to npm. For advanced TUI (custom components, animations, full layout control), use the 'opentui' skill. Covers: defineCommand, option() APIs, plugin architecture, bunli CLI commands (dev/build/generate/test/release/init/doctor), create-bunli scaffolding, and utilities.

lazyllm-skill

LazyLLM framework for building multi-agent AI applications. Use when task mentioned LazyLLM or AI program for: (1) Flow orchestration - linear, branching, parallel, loop workflows for complex data pipelines, (2) Model fine-tuning and acceleration - finetuning LLMs with LLaMA-Factory/Alpaca-LoRA/Collie and acceleration with vLLM/LMDeploy/LightLLM. Includes comprehensive code examples for all components, (3) RAG systems - knowledge-based QA with document retrieval, vectorization, and generation, (4) Agent development - single/multi-agent systems with tools, memory, planning, and web interfaces.

Kevros — Agentic Identity Trust

Agentic identity trust: precision decisioning, cryptographic release tokens, hash-chained proof

ads-creative-development

How to produce ad creative that converts at performance scale. Hook patterns, format selection, video pacing, variation systems, sequential testing methodology, fatigue detection, brand-voice alignment without conversion dilution, and platform-specific creative norms. Triggers on ad creative, ad design, hook patterns, ad video pacing, creative testing, ad variations, creative refresh, creative fatigue, refresh ad creative, video ads for Meta, TikTok creative, LinkedIn ad creative, ad asset library. Also triggers when a team is producing creative at scale, planning a creative test cycle, or auditing why creative is not converting.

stove-e2e-setup

Use when adding Stove e2e tests to a project, creating a test-e2e source set, configuring Stove systems (HTTP, PostgreSQL, Kafka, WireMock, gRPC), setting up the stove {} test DSL, enabling OpenTelemetry tracing for tests, writing AbstractProjectConfig, or extending Stove with custom systems.

Google Maps Places

Allow AI systems to search for places and get business info via Google Maps Places API.

Nallely System Prompt for Local LLMs

You are an assistant specialized in Nallely, a modular reactive Python framework for patching signal-processing modules (neurons) together, like a modular synthesizer for control systems. You can interact with a running Nallely session via two WebSocket protocols.

memory-bank

Token-efficient persistent memory system for Claude Code that extends your session limits by 3-5x. Layered architecture with progressive loading, compact encoding, branch-aware context, smart compression, session diffing, conflict detection, session continuation protocol, and recovery mode. Activates at session start (if MEMORY.md exists), on "remember this", "pick up where we left off", "what were we doing", "wrap up", "save progress", "don't forget", "switch context", "hand off", "memory health", "save state", "continue where I left off", "context budget", "how much context left", or any session start on a project with existing memory files. This skill solves two problems at once: Claude forgetting everything between sessions, AND sessions hitting context limits too fast. It replaces thousands of wasted re-explanation tokens with a compact, structured memory load that gives Claude full project context in under 2,000 tokens.

robot-bringup

Patterns and best practices for bringing up a complete ROS2-based robotics system on a robot's onboard computer, including systemd services, launch file composition, ordered startup, and production monitoring. Use this skill when configuring a robot to start ROS2 nodes on boot, writing systemd unit files for ROS2 launch, composing layered launch files for full robot stacks, setting up watchdog monitoring, configuring udev rules for deterministic device naming, or debugging boot-time race conditions. Trigger whenever the user mentions robot bringup, robot startup, systemd for ROS2, ROS2 on boot, launch file composition, robot boot sequence, udev rules for cameras or serial ports, watchdog for robot systems, automatic restart for ROS2 nodes, network configuration for multi-machine ROS2, log rotation for robots, graceful shutdown of robot stacks, or SSH-based remote debugging of robots. Also trigger for environment setup in systemd (sourcing workspaces), ordered startup with health checks, deterministic device naming, or any discussion of running ROS2 systems as long-running production services. Covers systemd on Ubuntu 22.04/24.04 with ROS2 Humble, Iron, and Jazzy.

OpenTrace is a knowledge graph platform that maps system architecture, code structure, and service relationships giving you a visual, queryable map of how your codebase and infrastructure connect.

architecture-diagram-creator

Create comprehensive HTML architecture diagrams showing data flows, business objectives, features, technical architecture, and deployment. Use when users request system architecture, project documentation, high-level overviews, or technical specifications.

add-domain

Add a new knowledge domain to your existing system. Derives domain-specific configuration through conversation, generates domain folders, templates, and vocabulary while preserving and connecting to your existing architecture.

branch-pr

PR creation workflow for Agent Teams Lite following the issue-first enforcement system. Trigger: When creating a pull request, opening a PR, or preparing changes for review.

macos

Control macOS via AppleScript/osascript. Manage windows (move, resize, tile), apps (launch, quit, focus), system (volume, dark mode, notifications), Spotify, browsers, Calendar, Reminders, Finder, and clipboard. Use when the user asks to control their Mac, arrange windows, manage apps, or interact with native macOS features.

ax-crew

Guide for building multi-agent AI systems with ax-crew. Use when creating agent crews, configuring agents, using MCP servers, shared state, sub-agents, streaming, ACE learning, function registries, metrics/cost tracking, telemetry, or agent workflows with @amitdeshmukh/ax-crew.

Io.Github.Ansvar Systems/Security Controls

1,451 security controls across 261 frameworks with bidirectional mapping

pie-design-system

Usage guidelines for the PIE design system by Just Eat Takeaway. Use when building, modifying, debugging any user-facing web UI, referencing @justeattakeaway/pie-* packages or when the user asks for a UI that should follow JET/PIE design standards.

autocontext

Iterative strategy generation and evaluation system. Use when the user wants to evaluate agent output quality, run improvement loops, queue tasks for background evaluation, check run status, or discover available scenarios. Provides LLM-based judging with rubric-driven scoring.