Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
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A specialized skill for creating and configuring xUnit test projects. Use when you need to create a test project, set up the project structure, configure NuGet packages, or organize test folders. Covers csproj configuration, package management, project structure, and xunit.runner.json configuration. Make sure to use this skill whenever the user mentions creating a test project, xUnit setup, project structure for tests, NuGet test packages, or csproj configuration for testing, even if they don't explicitly ask for project setup guidance. Keywords: xunit project, xunit setup, test project creation, test project setup, project structure, folder structure, xunit package, nuget packages, test packages, how to create a test project, xunit configuration
Generate product prototypes / page-flow wireframes in two forms: mobile (App) and PC (desktop web). Use when the user wants product prototypes, wireframes, page-flow diagrams, interaction flows, App prototypes, admin/management system prototypes, or to lay out multiple pages and annotate click flows with arrows. Output is a single HTML file: mobile uses iOS standard dimensions (375×812) with Apple HIG font sizes, PC uses desktop dimensions (1440×900) with denser web font sizes; both are minimal black-and-white-gray wireframe styles, with a built-in annotation system and full-page screenshot export.
How to pull SEC EDGAR data with the edgartools Python package — company lookup, filings, XBRL financial statements, and filing sections like Item 1A risk factors. Use whenever a task involves SEC filings, 10-K/10-Q data, or company financials.
Create or update Figma designs directly from a written product or UI description using the Figma MCP authoring tools. Use when the user wants a mockup, wireframe, screen, component, flow, or concept designed in Figma from text, or wants to iterate on an existing Figma file from textual feedback. Despite the name, this skill can start from a new blank file or edit an existing one. Do not use for capture-based workflows that turn a running page into Figma; use `figma-generate-design` for those, and use `implement-design` for code implementation requests. Requires Figma MCP server connection.
Build conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
Automated email sending tool supporting SMTP and API, with a built-in Jinja2 template engine, suited to automated workflows, bulk email sending, system notifications and similar scenarios. Supports enterprise-grade features such as HTML emails, multiple attachments, template variables and error retries.
Draft and fill employment contract templates — offer letter, employment agreement, IP/inventions assignment (PIIA), and confidentiality acknowledgement — producing signable DOCX files from OpenAgreements standard forms for hiring employees. Use when the user says "employment contract," "employment agreement," "offer letter," "PIIA," "IP assignment," "hire someone," "new hire paperwork," or "onboarding paperwork." To explain non-compete or restrictive-covenant law rather than draft a document, see the non-compete-contract-explainer skill. Includes lawyer-reviewed practice guides; see openagreements.org/editors.
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs
Run scientific (software) experiments. Use when the user asks to "run an experiment", "run an investigation", or "research with Asta." Also use this skill to analyze experimental data generate a research report from it. The user may refer to this system by its internal project name, "Panda."
Chinese-language fan fiction writing and copyright compliance checks. Use when a user wants to write fan fiction derived from film, TV, anime, novels, or game IP; asks whether a fan work can be commercialized or signed; wants a fan-fiction copyright risk check; or needs a safe rewrite to avoid infringement. Provides creative approaches and compliance checks based on each platform’s fan-work policies.
Prefers `fd` (https://github.com/sharkdp/fd) over `find` for filesystem searches in shell snippets. `fd` is faster on large trees, has saner defaults (respects `.gitignore`, smart case, regex by default), and a more ergonomic CLI. Falls back to `find` when `fd` is not available on the host.
Use when the user asks to list, show, or review open issues — from the tracker recorded in docs/agents/issue-tracker.md, whether GitHub, Jira, local markdown, or another backend, or from a repository or project the user names. Read-only: not for creating, editing, closing, or triaging issues.
Read and summarize Figma design context for UI/UX implementation, audit, and design-system work. Use this skill when the user provides a Figma URL, selected Figma node, frame, component, Dev Mode context, variables, library, or screenshot and wants structured facts about hierarchy, layout, tokens, components, assets, variants, interaction notes, or implementation constraints without mutating the Figma file.
Translate Figma frames and design context into implementation-ready frontend plans, component mappings, and code handoffs. Use this skill when a user wants to build from a Figma frame, compare Figma components to code components, use Code Connect, avoid pixel-copying, map variables to tokens, or decide whether work belongs in webapp-ui-skill, marketing-site-skill, or a local code implementation.
Persist, fetch, and search local artifacts produced by skills under a predictable `.skillz/<type>/<slug>` tree. Use whenever a skill needs to save scratch files, plans, notes, or other working artifacts to disk and look them up again in a later turn — for example when a user says "save this as <slug>", "where did we save the <type>", "find the <slug> we saved", or any time another skill in this repo references "the file-handler". Wraps a single dependency-free Bash script (`scripts/skillz.sh`) that exposes `save_file`, `get_file`, and `search_files` (titles + body grep). All other skills should delegate to this skill instead of inventing their own on-disk layout. Do NOT use for source code edits, version-controlled files, or anything that belongs in the project tree — this is for skill artifacts, not application files.
Generates comprehensive synthetic fine-tuning datasets in ChatML format (JSONL) for use with Unsloth, Axolotl, and similar training frameworks. Gathers requirements, creates datasets with diverse examples, validates quality, and provides framework integration guidance.
Diagnose intermittent VS Code Electron smoke-test failures from the Azure DevOps Flaky Smoke Tests pipeline (definition 700). Covers finding failed iterations, downloading task logs and platform artifacts with Azure CLI, correlating cumulative runner logs, tracing the introducing commit, and queueing focused validation runs.
Provides one-command project creation for Flutter including project initialization, configuration, and template generation. Use when the user asks about creating Flutter projects, needs to initialize a new Flutter project, or generate Flutter project structure.
Audit a game, feature, level sequence, combat loop, progression curve, onboarding path, event structure, or return-player journey through the lens of Flow theory. Use when evaluating whether challenge and skill stay aligned over time, diagnosing boredom, anxiety, frustration spikes, difficulty cliffs, dead zones, or pacing drift, or identifying where a design stops feeling absorbing and starts feeling exhausting or empty
Selects and prototypes player-facing mechanics for meaningful choices, challenge, progression, quests, combat, collection, rewards, and tutorials. Use for deciding what the player repeatedly does and how that action supports the intended experience; defer numerical tuning to game-balance and cross-system feedback analysis to game-systems-design.
Consolidated game developer for story execution, code implementation, code review, QA/test authorship, and sprint orchestration. Use when the user asks to talk to Link Freeman, the Game Developer, the Game QA, or the Game Scrum Master.
A Socratic study assistant for university exam preparation, designed for textbook- and PPT-oriented exams. Triggered when the user says "help me review", "prepare for an exam", "exam prep", "final review", "mock study", "cram review", etc. Core features: (1) requires the user to upload source materials such as textbooks/PPT/syllabus — without materials it cannot tutor effectively; (2) uses Socratic questioning, guiding thinking rather than lecturing; (3) focuses on applied and comprehension-based content rather than pure concept memorization; (4) simulates real exam scenarios for targeted practice; (5) analyzes materials to identify high-frequency exam points and key difficulties. Suitable for midterm and final exam preparation, cram review, and pre-exam simulations across university subjects.
Build visually stunning geospatial demo webapps with MapLibre globe, DuckDB-WASM, and a warm dark HUD aesthetic. Use when building satellite imagery retrieval demos, embedding visualization tools, geospatial search UIs, or any map-centric data exploration frontend. Triggers on requests to scaffold a new geo demo, build a map-based UI, or create a retrieval/search visualization over satellite data.
One-time GitHub repository configuration via the `gh` CLI: enable a merge queue on the default branch, lock merging to squash-only with PR-title commit messages, wire required CI status checks, scaffold automatically-generated release notes (`.github/release.yml`), and optionally add a tag-driven release workflow. Use when the user says "set up the repo", "configure the merge queue", "enable squash merging", "lock down main", "set up branch protection", "configure release notes", "scaffold releases", "set up release tagging", or invokes /gh-bootstrap on a fresh or loosely-configured GitHub repository. Idempotent — safe to re-run on already-configured repos to bring missing pieces in line. Distinct from /gh, which handles per-task PR / issue / CI ops; this skill is for one-time repo policy.
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.