Skills
98,873 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use this skill when exposing a Docker Agent as a server (MCP, HTTP API, A2A, ACP, or OpenAI-compatible chat), distributing an agent via an OCI registry with `docker agent share`, or measuring agent quality with `docker agent eval`. Even if the user just says they want to "turn my agent into an MCP server", "let Claude Desktop use my agent", "publish my agent to Docker Hub", "push my agent like an image", or "test my agent in CI", this skill applies. Covers `serve mcp/api/a2a/acp/chat` listen addresses and auth flags, `share push/pull`, eval session JSON format, scoring metrics, and the `--baseline` regression gate.
Produce a scored heuristic critique of the UI using Nielsen's 10 + 6 design laws and optional persona walkthroughs. Outputs a machine-parseable scorecard plus a 0-100 UsabilityScore (the judged companion to the deterministic UICraftScore). Invoke when the user asks for a heuristic review of their UI, or mentions 'heuristic' alongside design / UI / frontend work.
Use to optimize a social media profile so it converts visitors into followers and followers into leads — bio, handle, name/headline field, profile picture, banner/header, link-in-bio, CTA, pinned posts, and highlights. Run when the user says "optimize my profile/bio," "write my bio," "my Instagram/LinkedIn/TikTok bio," "profile," "link in bio," "my profile isn't converting," asks about creator mode or a professional/business account, or wants their account to convert better. Reads brand-profile, voice, audience, and social-strategy first. Treats the profile as a conversion landing page — 3-second clarity, searchable-field keywords, a who/what/why bio with one CTA, a goal-matched link, and specs for the visuals, pinned posts, and highlights. Advisory: produces a ready-to-apply per-platform spec (WoopSocial publishes posts/media; it does not edit profile fields). Judges results via native profile insights, not WoopSocial analytics.
Layered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.
Use when integrating with Tesla's official Fleet API to read vehicle/energy device data or issue remote commands (e.g. start HVAC preconditioning, wake vehicle, charge controls). Covers onboarding (developer app registration, regions/base URLs), OAuth token flows (third-party + partner tokens, refresh rotation), required domain/public-key hosting, and using Tesla's official vehicle-command/tesla-http-proxy for signed vehicle commands.
Creative coding skills for Claude Code, claude.ai and Cowork. Motion, micro-interactions and design systems across Web (GSAP, Motion, Three.js, CSS), Android (Jetpack Compose) and Apple (SwiftUI). Proposes an interaction thesis you approve before it writes any code. Anti-AI-slop.
Use ae-cli for AE analysis-side data questions, asset operations, and asset governance: reports, analysis boards, BI dashboards, ad-hoc models, drilldown, detail data, alerts, clusters, tags, metrics, metadata discovery, project configuration, tracking plans, local input-file upload, governance asset lists/rules/lineage/impact/dependency, batch asset operations, projects, and resource links. Use when the user asks to query data, explain a change, export evidence, inspect/create/update/govern analysis assets, recommend project assets for certification/authentication, review asset-certification recommendations, review metric recommendations, or build/update/refresh/sync a project semantic knowledge base from a governed asset package.
Use to ride a trend — a trending sound, format, meme, hashtag, news moment, or cultural conversation — to earn reach by attaching the brand to something already getting attention (a.k.a. trendjacking / newsjacking). Run when the user says "trend," "trending," "jump on this trend," "trendjack," "newsjack," "is this trend worth doing," "make this go viral," or wants to react to a current moment. Reads brand-profile, voice, and audience first, then runs three gates — FIT, SAFETY, and TIMING — before executing a fast, on-brand remix and handing to the right content skill (tiktok-script, reels-script, caption-writer) and scheduling-and-queue. Refuses to trendjack tragedies or divisive moments and won't force irrelevant trends; live trend discovery needs current scanning — this skill vets and executes. For meme-format craft, cultural fluency, and meme IP/likeness judgment ("make a meme," "is this meme safe"), route to meme-and-culture.
Run agency-orchestrator YAML workflows directly in Claude Code / OpenClaw / Cursor — no API key required; uses the current session’s LLM as the execution engine. Trigger when the user provides a .yaml workflow file or asks for a task to be completed collaboratively by multiple roles.
Use this skill when the user needs to set up bookkeeping, track revenue and expenses, prepare for taxes, choose accounting software, understand SaaS revenue recognition, or manage the financial operations of their bootstrapped business. Covers bookkeeping setup, tax preparation, accounting tools, and financial hygiene for solo founders.
PrimeNG best practices for Angular. Covers tree-shaking imports, lazy-loaded tables, and the Aura/Lara theme system with design tokens. Activates when working with primeng components. Do not use for Angular Material, Spartan UI, or other component libraries. Install alongside angular-best-practices for full coverage
Makes long documents easy for agents to navigate. Use when the user says "shard this document", "this file is too long for agents", "turn this document into a wiki", "add a table of contents so agents can find things", or "update the sharded document".
Writes and audits technical docs with Diataxis type gating, runnable examples, and 51 documentation rules. Use when asked to "review my docs", "write an API reference", or improve a documentation page. For a whole README use readme-creator; for agent instructions use agents-md
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.
Expert data engineering with Metabase at the center of any company's stack: explore and profile raw warehouse tables, build clean tables as Metabase transforms pinned by transform tests, build the semantic layer (models, metrics, measures, segments, metadata), design dashboards, answer questions with checked numbers, reconcile against a reference, change delivered definitions safely. Use for data work, not one `mb` command (`metabase-cli`): "make sense of my data", "model this raw schema", "set up analytics for X", "build a data model", "define MRR / active customers officially", "build a semantic layer", "go from raw tables to a dashboard", "does this number match finance", "our numbers look wrong", "two cards disagree", "test this transform", "why does this transform get case X wrong", "make Metabot answer questions about X", "explain this table", "change this definition", "build a data app", "donor retention", "event attendance", "quarterly board report", "be my data engineer / analyst"
Transcribe a media file or live microphone to text or subtitles with auto-editor's whisper subcommand, then edit by spoken content — cut to keep (or drop) sections whose subtitles match a word or regex. Use when someone wants a transcript, captions, live speech transcription, or to cut a video based on what is said rather than on loudness.
Creative coding skills for Claude Code, claude.ai and Cowork. Motion, micro-interactions and design systems across Web (GSAP, Motion, Three.js, CSS), Android (Jetpack Compose) and Apple (SwiftUI). Proposes an interaction thesis you approve before it writes any code. Anti-AI-slop.
Create tasteful circular/orbital HUD and aura animations around a Blender subject using source-derived arcs, dots, dashes, opacity, parallax, and restrained motion. Use when decorative circles, halos, orbit markers, scanner rings, or HUD effects must correlate with a logo/mascot rather than looking like random oversized rings.
Creative coding skills for Claude Code, claude.ai and Cowork. Motion, micro-interactions and design systems across Web (GSAP, Motion, Three.js, CSS), Android (Jetpack Compose) and Apple (SwiftUI). Proposes an interaction thesis you approve before it writes any code. Anti-AI-slop.
Audits a Capacitor iOS app against Apple App Review Guidelines before submission or after a rejection. Use when the user pastes a rejection (Guideline 4.2 Minimum Functionality, 4.8 Login Services / Sign in with Apple, 5.1.1 data collection or account deletion, 5.1.2(i) sharing data with third-party AI, 3.1.1 in-app purchase, 2.1 app completeness, 2.3 metadata, 4.3 spam), an upload warning (ITMS-91053 missing API declaration, ITMS-91061 missing privacy manifest, ITMS-90683 missing purpose string), or wants a preflight of metadata, PrivacyInfo.xcprivacy, Info.plist usage strings, entitlements, subscriptions, reviewer notes, live-update disclosure, and Xcode 27 / UIScene readiness. Do not use for Google Play review, upload mechanics, screenshots and listing setup (capacitor-app-store), building a web wrapper from scratch (webapp-to-capacitor), or non-Capacitor runtimes.
Entry point for every video job - routes to studio-setup, insta-audit, studio-script, outliers, short-editing, broll, steal, clips, short-translate, codex-images, vox or publish, and continues the project already in progress. Use when the user says /editing, edit, montage, take, short, reel, video, script, audit, publish, or is not sure which video skill to use.
Use to build a hashtag and discoverability strategy for social posts — the modern (2026) approach, not the outdated "30 hashtags to go viral" playbook. Run when the user says "hashtags," "what hashtags should I use," "how many hashtags," "hashtag strategy," "help me get discovered/reach," asks "do hashtags still work / are hashtags dead," or asks how to tag a post. Reads brand-profile and audience first. Sets the keyword/social-SEO layer first (caption, on-screen text, spoken audio) because that — plus engagement and the content itself — drives discovery far more than hashtags now; then picks a tight, relevant, per-platform hashtag set (respecting caps like Instagram's enforced 5-tag limit), favors niche/mid-tier tags over generic mega-tags, and designs branded/campaign hashtags for community and tracking. Rotates sets rather than copy-pasting one block, and hands placement/publishing to scheduling-and-queue. Sets honest expectations: hashtags categorize and aid search; they are not a reach hack.
Builds decks with a story spine, house visual system, setting-specific density, and speaker notes. Use when asked to "create a presentation", "write a pitch deck", or "turn this doc into slides". Defaults to Marp; use an available presentation tool for editable PowerPoint.
Unit testing, integration testing, and test-driven development principles. Use when writing tests, reviewing test code, improving test coverage, or setting up testing strategy. Triggers on "write tests", "review tests", "testing best practices", or "TDD".
Watch an open PR — fix failing CI, handle straightforward review comments, and drive it to a mergeable state. Claude Code analog of Cursor's built-in /babysit. Use after opening a PR when the user wants the agent to shepherd it without re-prompting.
Create videos from a text prompt using HeyGen's Video Agent (POST /v3/video-agents). The default for most video requests — AI handles the script, avatar, visuals, voiceover, and captions automatically. Use when: (1) Creating a video from a description or idea, (2) Generating explainer, demo, or marketing videos from a prompt, (3) Making a video without specifying exact avatars, voices, or scenes, (4) Quick video prototyping or drafts, (5) The user says "make me a video" or "create a video about X". For precise control over specific avatars, exact scripts, or per-scene configuration, use the avatar-video skill instead.
Handle comments on the user's own reels and posts: draft replies to comments worth answering, sorted by priority. Use when the user pastes comments, says "reply to these" or "handle my comments", mentions that someone said something on their reel, or is dealing with a critic, hater, or lead in the comments.
Creative coding skills for Claude Code, claude.ai and Cowork. Motion, micro-interactions and design systems across Web (GSAP, Motion, Three.js, CSS), Android (Jetpack Compose) and Apple (SwiftUI). Proposes an interaction thesis you approve before it writes any code. Anti-AI-slop.
Run an extremely strict maintainability review focused on abstraction quality, oversized files, and growth of spaghetti conditions. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
Generates user stories in the standard persona, action, benefit story format from product requirements or feature descriptions. Use when breaking a feature into stories for sprint planning, writing tickets, or communicating scope to engineering. For testable Given/When/Then acceptance criteria on a story, use deliver-acceptance-criteria; for boundary and failure scenarios, use deliver-edge-cases.
Use this skill when creating or editing an agent.yaml (or .yml/.hcl) configuration file for Docker Agent (cagent), including defining agents, models/providers, built-in or MCP toolsets, multi-agent teams with sub_agents. Even if the user just says they want to "build an AI agent with Docker", "make a coding agent config", "add a tool to my agent", or "set up a team of agents", this skill applies. Covers agent properties (model, instruction, toolsets, sub_agents, fallback), the models/providers sections, built-in toolsets (filesystem, shell, think, todo, memory, fetch), MCP toolset references, and named commands.
Generate custom 3D models from text or images using Meshy AI, then auto-rig and animate them for Three.js games. The preferred source for all 3D game assets. Use when the user says "generate a 3D model", "create a character model", "use Meshy", or needs a custom GLB model that doesn't exist in free libraries.
Machine learning in Python with scikit-learn. Use for supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
Use for any CopilotKit question — adding it to an app, chat UI, frontend or server tools, generative UI, shared state, human-in-the-loop, agent frameworks (LangGraph, CrewAI, Mastra, ADK, PydanticAI, and others), the runtime, Intelligence, threads, voice, or diagnosing something that is not working. Do not answer from memory: this skill exists to point you at the current documentation and source, both of which you can read.
Comprehensive Docker best practices for images, containers, and production deployments. Proactively activate for: (1) writing production-ready Dockerfiles, (2) multi-stage builds for lean images, (3) base image selection (distroless, alpine, scratch, slim), (4) layer caching and ordering, (5) .dockerignore hygiene, (6) HEALTHCHECK and graceful shutdown, (7) non-root user and least-privilege patterns, (8) ENV vs ARG and secret handling, (9) tag/digest pinning and reproducibility, (10) Compose for local development. Provides: Dockerfile templates by language, image-size optimization checklist, .dockerignore template, HEALTHCHECK patterns, and Compose dev-stack examples.
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.