Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Design and review Polygres retrieval using available read-only MCP evidence across relational, graph, text, hybrid, Polygres AI Context, and existing pgvector strategies. Use for strategy selection, Context or graph design, grounded RAG planning, compatibility, and architecture review before implementation.
Diagnose Polygres MCP, OAuth connections, CLI, Runtime API, projects, jobs, synchronization, migrations, and retrieval through public read-only evidence. Use for scope or project-boundary issues, timeouts, partial failures, readiness, Context operations, graph, vector, text, hybrid, and Joint retrieval.
Create a high-quality pull request description for UX-related implementation that explains why the change exists, what behavior changed, design-system usage, states, accessibility, testing, risks, and what reviewers should inspect. Use when design or design-engineering work is ready to become a PR.
Run external coding agents (Codex, Claude Code, OpenCode, native Grok Build, Gemini, Devin CLI) as independent reviewers, stateful repository researchers, or single-agent implementers. Use for multi-model opinions and code review, steerable Grok research, full-access delegation, long-running work, reattaching to delegated runs, or showing current subagents in the optional UI. Not for simple questions answerable directly from docs or the current codebase.
Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun
Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun
Apply to multi-step work (sweeps, migrations, runs of similar edits) and to how you stack commits and PRs. Break work into small units that each end in a verifiable state, check each before the next, and order delivery so the sequence proves itself to a reviewer.
Apply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, refuse to lie to the compiler, exhaust variants, derive from authoritative schemas.
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Use this skill when creating a new PySide6 + QML desktop application with MVC architecture, setting up project structure, implementing the application bootstrap / DI container, or understanding how the MVC layers connect. Covers project scaffolding, entry points, singleton application class, service locator, signal registry, and lifecycle management.
Guide for writing correct Bright Data Python SDK code. Always use this skill when writing, modifying, debugging, or reviewing Python code that uses the brightdata-sdk package, imports from brightdata, or interacts with Bright Data APIs. Use when the user asks to scrape websites, search Google/Bing, access datasets, or automate browsers via Bright Data in Python.
Python SDK for inference.sh - run AI apps, build agents, and integrate with all models. Package: inferencesh (pip install inferencesh). Supports sync/async, streaming, file uploads. Build agents with template or ad-hoc patterns, tool builder API, skills, and human approval. Use for: Python integration, AI apps, agent development, RAG pipelines, automation. Triggers: python sdk, inferencesh, pip install, python api, python client, async inference, python agent, tool builder python, programmatic ai, python integration, sdk python
Comprehensive guide for Qiskit - IBM's quantum computing framework. Use for quantum circuit design, quantum algorithms (VQE, QAOA, Grover, Shor), quantum simulation, noise modeling, quantum machine learning, and quantum chemistry calculations. Essential for quantum computing research and applications.
Autonomous feature development - setup and execution. Triggers on: ralph, set up ralph, run ralph, run the loop, implement tasks. Two phases: (1) Setup - chat through feature, create tasks with dependencies (2) Loop - pick ready tasks, implement, commit, repeat until done.
Modern React conventions for writing, reviewing, refactoring, or migrating React: render purity, the Rules of Hooks, "you might not need an Effect", state placement, refs, context, Suspense data fetching, Actions and form state, Server and Client Components, the React Compiler, testing by role. Builds on `core-typescript` and `architecture-and-design`. Use it when the user mentions React, hooks, useEffect, useState, re-renders, Server Components, "use client", Suspense, the React Compiler, useActionState, context, or forwardRef.
Run a Command Center AI refactoring over the current diff. The refactoring runs inside Command Center and edits the working tree. Use when the user asks to "refactor with Command Center", "run the refactoring agent", "clean up / deduplicate these changes", or similar.
Create structured refactoring plans. Use when user wants to plan a refactor, needs a refactoring strategy, or mentions breaking down large changes into small commits. Don't use for implementing code changes directly, small one-line fixes, or renaming a single variable.
REST API design principles. Covers resources, methods, and status codes. Use when designing or reviewing REST APIs. USE WHEN: user mentions "REST API", "RESTful", "HTTP methods", "status codes", "resource naming", "API endpoints", "pagination", "versioning", asks about "how to design REST API", "REST best practices", "API documentation", "HTTP verbs" DO NOT USE FOR: GraphQL APIs - use `graphql` instead; tRPC - use `trpc` instead; OpenAPI specs - use `openapi` instead; Spring Boot REST - combine with `springdoc-openapi`
Gives the milestone dates for an RHDH version — Feature Freeze, Code Freeze, Docs Input Freeze, Docs Freeze, Go/No Go & Push, and GA announce — reading active releases from the RHDHPLAN release Feature in Jira and planned ones from the RHDH release schedule spreadsheet. Use for "when is code freeze for 1.11", "RHDH release dates", "GA date for 2.1", "what are the key dates for 1.10.3", or "has 1.10 passed feature freeze yet".
Rob Pike's 5 Rules of Programming — a decision framework that prevents premature optimization and enforces measurement-driven development. Use when the user says "optimize", "slow", "performance", "bottleneck", "speed up", "make faster", "too slow", or any request to improve code speed/efficiency. Also use when you notice yourself about to suggest a performance optimization without measurement data. This is a thinking discipline, not a tooling workflow.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.