Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Build, test, run, and flash NightRun — a bare-metal, no_std Rust UEFI application that boots straight into a local LLM (Llama 3.2, Qwen3, or Granite 4.1) with no operating system underneath. Use when the user wants to build/flash a bootable NightRun USB or Raspberry Pi 5 SD image, convert a GGUF model into the `.nrm` container, run/debug the inference engine on the host or in QEMU/OVMF, or troubleshoot no_std kernel/tokenizer parity issues in the NightRun codebase. Triggers on: "nightrun", "boot into an LLM", "bare-metal LLM runtime", "UEFI LLM appliance", "nrconvert", "nrhost", "cargo xtask", "nrm model file", "flash a bootable LLM USB".
NocoBase 2 only; never use in a NocoBase 3 project. PRIMARY ENTRY. Default dispatcher for every NocoBase UI authoring request, including pages, menus, blocks, fields, actions, layouts, reactions, KPI interfaces, dashboards, and charts, even when the user does not mention a Portal. Resolve an enabled Portal from structured `nb portal list -j` output before loading any downstream UI implementation skill: exact `name` when specified; otherwise zero stops, exactly one is automatic, and multiple Portals require explicit selection even when one has `isDefault: true`; show the default marker as informational only. Read the type only from `portalType`; explicitly invoke `nocobase-ui-builder` only for a resolved no-code Portal and require `nocobase-ai-builder` for AI Portal source development. Also use direct `nb portal` commands for explicit Portal lifecycle, source storage, sync, deployment, diagnosis, and destroy tasks.
Nx monorepo management skill for AI-native development. This skill should be used when working with Nx workspaces, project graphs, affected detection, code generation, and caching. Use when analyzing dependencies, running affected commands, generating code, configuring Nx Cloud, or optimizing build performance. Invoke nx-mcp tools for documentation queries.
Guide to the OpenAI Agents SDK for JavaScript and TypeScript (@openai/agents, @openai/agents- realtime), covering text agents and realtime voice agents. Covers agents, tools defined with Zod schemas, multi-agent workflows and handoffs, input and output guardrails, structured outputs, streaming, human-in-the-loop patterns, and integrations for Cloudflare Workers, Next.js, React, Hono and Node.js, with templates for each agent type plus error handling and debugging strategies. Prevents 9+ documented errors including Zod schema type errors, MCP tracing failures, agent infinite loops, tool call failures, and schema mismatches. Use when building or debugging agent workflows with this SDK, adding tools or handoffs, implementing realtime voice agents, or hitting those errors.
Find actively maintained open source alternatives to any paid SaaS tool or commercial API. Use whenever a user mentions wanting to replace, swap out, self-host, or find a free/open source version of a paid tool—including tools like Datadog, Algolia, Twilio, Stripe, Auth0, Segment, Mixpanel, Intercom, PagerDuty, LaunchDarkly, SendGrid, Cloudinary, or any other commercial developer tool or API. Also trigger when the user asks things like “Is there an open source version of X?”, “I don’t want to pay for X,” “self-host alternative to X,” or “What can I use instead of X for free?” Runs parallel TinyFish agents to search GitHub and developer communities, then checks each candidate’s real health—last release, contributor count, stars, Docker support, and feature parity—and returns a ranked comparison with a plain English gain/loss summary.
Use this skill whenever the user wants to peer program, pair program, or do collaborative coding where THE HUMAN writes the code and Claude only assists. Trigger on phrases like "pair program", "peer program", "let's code together", "I'll write you review", "drive me through this", "I want to be the driver", "you navigate I type", "teach me by letting me write it", or any workflow where the human is the typist and Claude is the navigator/reviewer. Also trigger when the user wants to learn by writing code themselves with Claude's guidance, or explicitly says Claude should NOT write the implementation. Use this even if the user doesn't say "skill" — the inversion of the usual write/review roles is the signal.
Cross-platform Python library for differentiable quantum computing. Integrated with machine learning libraries like PyTorch, TensorFlow, and JAX. Designed for quantum machine learning (QML), variational algorithms, and hardware-agnostic quantum programming. Use for Quantum Neural Networks (QNNs), Variational Quantum Algorithms (VQE, QAOA), hybrid classical-quantum machine learning, quantum chemistry calculations, benchmarking quantum algorithms, optimizing quantum control pulses, and investigating QML phenomena like Barren Plateaus.
Use when building ReactJS web authentication with the Ping Orchestration JavaScript SDK (DaVinci) using `@forgerock/davinci-client` — scaffolds a complete React SPA authentication flow against PingOne DaVinci. Handles DaVinci client configuration, OIDC token exchange, dynamic DaVinci collector rendering in React (text, password, social login, MFA, FIDO2/passkeys, PingOne Protect), protected routes, user profile, and logout. Invoke when the user asks to "use @forgerock/davinci-client in React", "render DaVinci collectors in a React app", "set up PingOne DaVinci authentication in React", "build a React SPA with DaVinci", "add DaVinci login to my React app", or "use the DaVinci SDK with Vite and React". Also covers migrating a React app from `@forgerock/javascript-sdk` to `@forgerock/davinci-client`.
Universal planning for technical and non-technical projects. Domains: software implementation, business, personal, creative, academic, events. Capabilities: feature planning, system architecture, goal setting, milestone planning, requirement breakdown, trade-off analysis, resource allocation, risk assessment. Actions: plan, architect, design, evaluate, breakdown, structure projects. Keywords: implementation plan, technical design, architecture, roadmap, project plan, strategy, goal setting, milestones, timeline, action plan, SMART goals, sprint planning, task breakdown, OKRs. Use when: planning features, designing architecture, creating roadmaps, setting goals, organizing projects, breaking down requirements.
Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app
Analyze AI-implemented changes using a hierarchy of abstraction levels and output a structured GitHub PR body (body generation only; no Git operations; formerly github-pull-request). Organize from abstract to concrete in this order, even for large changes: system architecture diagram → data structures → APIs → processing flow → implementation details. Also covers how to assemble a PR body with image evidence.
Software craftsmanship principles from The Pragmatic Programmer. Use this skill when discussing best practices, debugging strategies, career development, or pragmatic approaches to software development. Auto-activates for DRY violations, debugging sessions, and development workflow improvements.
Create non-technical documentation for project features in the docs/ folder. Use when documenting completed features, writing feature documentation, explaining how features work, or when the user asks to document the project or create docs for non-developers.
Comprehensive project planning and documentation generator for software projects. Creates structured requirements documents, system design documents, and task breakdown plans with implementation tracking. Use when starting a new project, defining specifications, creating technical designs, or breaking down complex systems into implementable tasks. Supports user story format, acceptance criteria, component design, API specifications, and hierarchical task decomposition with requirement traceability.
Generates a detailed project explanation and retrospective (FOR_USER.md) to help the user learn from the project. Use this skill when the user asks to explain the project, asks "what did we just build?", or invokes the skill to generate a learning resource after a coding session.
Use when building Python 3.11+ CLI apps (Typer/Rich), writing pytest test suites, fixing ruff linting or ty/mypy type errors, configuring pyproject.toml, creating portable scripts, or reviewing Python code. Activates on all Python implementation tasks — routes to specialist agents for CLI architecture, test design, packaging, and code review. Authoritative reference for modern Python 3.11-3.14 patterns and TDD workflows.
Build, simulate, transpile, and execute quantum circuits with Qiskit and IBM Quantum Runtime. Use for Qiskit 2.x circuits and operators, V2 Sampler or Estimator primitives, target-aware transpilation, local or noisy simulation, IBM QPU execution, Runtime sessions or batches, error mitigation, and Qiskit ecosystem packages.
Migrate shadcn components and custom Radix UI primitives to Base UI with a manual, low-risk workflow. Use when users ask to move from Radix UI to Base UI, replace asChild patterns, fix migration TypeScript errors, update renamed props/types, or adapt dropdown/popover/dialog positioning to Base UI positioner patterns.
React 18+ library for building user interfaces. Covers components, hooks, state management, and rendering patterns. USE WHEN: user mentions "React component", "useState", "useEffect", "hooks", asks about "building UI", "component lifecycle", "React rendering", "JSX" DO NOT USE FOR: React 19 features - use `react-19` instead, React Router - use `react-router` instead, performance optimization - use `react-performance` instead
React performance optimization techniques and best practices. Covers memoization, virtualization, code splitting, profiling, React DevTools, bundle optimization, and avoiding common performance pitfalls. USE WHEN: user mentions "React performance", "slow React app", "memoization", "virtualization", "code splitting", "lazy loading", "bundle size", asks about "optimizing React", "React DevTools Profiler", "preventing re-renders" DO NOT USE FOR: React 19 Compiler - use `react-19` skill instead, basic React concepts - use `react` skill instead, testing performance - use `react-testing` skill instead
Use when properties need synchronized configuration. Use when adding new properties requires updates elsewhere. Use when implementing optimization checks. Use when building property validators. Use when maintaining parallel data structures.
Refactor PHP/Laravel code to improve maintainability, readability, and adherence to best practices. This skill transforms code using modern PHP 8.3+/8.4+ features like property hooks and typed constants, Laravel 11+ patterns including Actions and simplified structure, and SOLID principles. It addresses fat controllers, code duplication, N+1 queries, and missing type declarations. Apply when you notice business logic in controllers or legacy PHP patterns.
Derive, review, and debug responsive web layout math for fluid widths, media query ranges, viewport units, percentages, and CSS clamp() formulas. Use when building responsive layouts, converting fixed designs to fluid CSS, calculating breakpoints, choosing vw/svw/lvw/dvw units, or deciding whether CSS math or JavaScript measurement should own a layout behavior.
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.