Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Expert patterns for AI video generation, including text-to-video, image-to-video, video editing, and API integration with Runway, Kling, Luma, Wan, and Replicate. Use when “text to video, video generation, image to video, runway api, kling video, luma dream machine, wan video, animate image, ai video, video-generation, text-to-video, image-to-video, runway, kling, luma, wan, replicate, ai-video” are mentioned.
Author production procedural materials in Three.js. Use for simulated paper burning with coupled sheet combustion and pyro fluids, luminescent jellyfish with simulated appendages and layered tissue optics, luminescent butterflies with articulated scale glints and finite wing emitters, hybrid texture-backed PBR soil and moss with procedural displacement and masks, upward-facing model moss accumulation, atlas filtering, specular AA, planet-space fields, terrain wetness, deformable granular sand with mass-coupled grain shading, simulated tearable denim with implicit yarn mechanics, wear-driven failure and frayed fibres, woven cloth with GPU XPBD mechanics and yarn microstructure, simulated fur with interactive grooming and strand shading, lava and emissive surfaces, reflective wave-optical diffraction gratings, air-film-air soap bubbles with Airy interference, raytraced diamond and gem refraction with internal reflection and dispersion, image-space glass transmission with spectral dispersion and volume absorption, deforming softbody jelly materials with XPBD mechanics and refractive caustics, per-instance dissolve, authored PBR identities, derivative normals, and custom direct-light shadow modulation
Production guidance for planning, building, animating, capturing, and reviewing complete Three.js scenes for rendered media. Use for browser-native 3D product shots, title sequences, procedural worlds, glTF scene assembly, camera and lighting animation, shaders, post-processing, deterministic frame export, and Three.js render QA; not for modeling standalone assets, WebXR interaction, or generic website decoration.
[user] Explicitly use when jointly establishing direction, priorities, and milestones within the goal and technical/non-technical constraints. Can also start without arguments. Do not use for implementation preparation or a comprehensive review of an existing plan.
Generate images and text through the reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, visual input from reference images, and multi-turn conversations. Use when another skill needs an image-generation backend or the user asks to “generate an image with Gemini” or for “Gemini text generation”.
Use TWG whenever Atlassian or company context would help: Jira workitems and issues; Confluence pages and PRDs; Bitbucket PRs; project or goal status and launch readiness; owners, SMEs, approvers, or escalation; personal, org, or leadership work rollups and out-of-office catch-ups; dependency maps; code search, repository, or PR discovery; incidents, on-call, or reliability; and deep internal research across connected sources, docs, work, and people.
Review and understand freshly AI-generated code. Scans the current repo's uncommitted/branch changes and builds a Claude-style light-themed two-column webpage — left is the project folder tree of changed files, right is the selected file's syntax-highlighted diff (additions/deletions clearly distinguished from unchanged code) with a side rail showing, per code segment, the related unit requirement (相关单位需求) and a plain-language code explanation (代码解释). Invoke for "/understand", "code review 这次改动", "解释一下新生成的代码", "看看这次变更".
Runs a progressive interview, without requiring UX or design vocabulary, to create or evolve a software project's canonical UX standard and generate three coordinated artifacts: UX_STANDARD.md, a custom ux-review skill, and UX_REVIEW_TEMPLATE.md. Use when you want to define look and feel, audience, principles, design system, accessibility, responsiveness, tone of voice, references, interactions, quality criteria, or UX governance before reviewing features. The generated ux-review becomes the SDD step between Define and Design. It does not run a feature review in place of the generated skill.
End-to-end Remotion video production from natural language briefs. Orchestrates narrative structure, scene animation, visual style, and rendering to produce complete promotional videos. Use when a user wants to create a complete video (product promo, typographic piece, social media animation) — not just individual animation effects. Coordinates gsap-animation, spring-animation, and react-animation skills as building blocks.
WeWrite multi-platform rewriting module: rewrite a WeChat official account article (or a specified source draft) at the content level into versions for other platforms, currently supporting Xiaohongshu (image-and-text notes) and Douyin (spoken scripts), and checking editorial quality and similarity to the source draft. Trigger keywords: rewrite for Xiaohongshu, Xiaohongshu version, Douyin version, spoken script, multi-platform distribution, one draft for many platforms, platform rewriting. Should not be triggered by "translate", "abbreviate", "change the title" — those are single-platform editing actions.
Formatting rules for quoting external sources (papers, articles, web pages, prompt templates) inside a Markdown document. Quotations always live in fenced code blocks (never the `>` blockquote syntax), original and translation sit together, source references go on the line after the fence, and bare numeric references like `[1]` are forbidden. Other sourced-writing skills (survey, ja-explainer, ...) reference this skill. Consult whenever you write or edit a quotation block.
When writing or reviewing code to prevent over-engineering and speculative features. Use when the user says "is this over-engineered," "do we need this," "should I add," "future-proof," or "just in case." For simplicity concerns, see kiss. For abstraction design, see solid.
Use when generating a Dockerfile for deploying a project to Zeabur. Use when the user needs help writing a Dockerfile for Node.js, Python, Go, Rust, PHP, Ruby, Java, .NET, or Elixir projects. Use when troubleshooting Dockerfile build failures on Zeabur.
Diátaxis-driven documentation for AI coding agents: write, improve, or audit tutorials, how-tos, reference, explanation, and developer docs (README, CONTRIBUTING, ADRs). Detects the docs stack; gates on the outline before writing prose; verifies every claim against the code before it ships. Triggers on "absolute docs", "write docs", "write a tutorial", "write a README", "document this", "improve this doc", "audit our docs".
Evaluate Figma designs from operator persona perspectives through design critique and user experience evaluation. Use when reviewing UX for specific user roles (e.g., air-surveillance-tech, weapons-director), conducting design reviews, or evaluating operator interfaces. Analyzes cognitive load, communication patterns, pain points, and system visibility. Works with Figma MCP (desktop/URL) and Outline docs.
Use when testing whether users can access data or actions they shouldn't — IDOR/BOLA, horizontal and vertical privilege escalation, multi-tenant isolation, forced browsing, function-level authorization (BFLA), and mass assignment. The #1 cause of real-world breaches.
Give your AI agent eyes to see the entire internet. Install and configure upstream tools for Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, LinkedIn, Boss直聘, WeChat (微信公众号), RSS, and any web page — then call them directly. Use when: (1) setting up platform access tools for the first time, (2) checking which platforms are available, (3) user asks to configure/enable a platform channel. Triggers: "帮我配", "帮我添加", "帮我安装", "agent reach", "install channels", "configure twitter", "enable reddit"
Salesforce Agentforce AI agents and autonomous automation (2025-2026). PROACTIVELY activate for: (1) building Agentforce agents and topics, (2) Agent Builder configuration, (3) Atlas Reasoning Engine usage, (4) Agentforce action setup (Apex, Flow, Prompt Templates), (5) topic-based routing and instructions, (6) Agentforce Service Agent vs Sales Agent vs Custom, (7) Einstein Trust Layer (data masking, toxicity detection), (8) prompt engineering for grounded responses, (9) Agentforce testing and Test Center, (10) deploying agents across orgs. Provides: agent design patterns, topic and action templates, prompt engineering recipes, Trust Layer configuration, and deployment workflow
Manage and troubleshoot Alibaba Cloud ALB (Application Load Balancer). Use whenever the user asks to inspect, create, change, or debug ALB instances, listeners, server groups, rules, certificates, ACLs, security policies, or health checks in Alibaba Cloud
Scrapes social platforms, business data, and e-commerce via Apify actors — Instagram, LinkedIn, TikTok, YouTube, Facebook, Google Maps, Amazon, and web crawls — filtering in code. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Facebook, Google Maps leads, Amazon reviews, business intelligence, multi-platform social listening, competitive analysis, lead generation, social monitoring, Apify actors, web crawl, extract contacts. NOT FOR X/Twitter account operations like posting, threads, or bookmarks (those need a dedicated X API client), 4-tier progressive scraping with proxy escalation (use BrightData), or real-Chrome bot bypass and computer use (use Interceptor).
Scaffold and architect custom Frappe apps including app structure, hooks, background jobs, service layers, and production hardening. Use when creating new apps, setting up app architecture, or implementing cross-cutting patterns like caching, logging, and error handling.
Step-by-step orchestrator for building Domo App Studio apps with native KPI cards via community-domo-cli. Sequences app creation, pages, theme, hero metrics, native charts, filter cards, layout assembly, and navigation. CLI-first — no raw API calls.
Help with ABAP authorization and IAM (Identity and Access Management) including authorization objects, authorization checks, IAM apps, business catalogs, business roles, restriction types, CDS access control (DCL), privilege access annotations, and role-based access in ABAP Cloud and on-premise. Use when users ask about authorization, AUTHORITY-CHECK, authorization object, IAM app, business catalog, business role, restriction type, CDS access control, DCL, access control, privilege annotation, role assignment, PFCG role, S_DEVELOP, or securing ABAP applications. Triggers include "authorization check", "create authorization object", "CDS access control", "IAM app", "business catalog", "business role", "PFCG", "restrict access", or "role-based security".
Patterns for building, maintaining, and scaling bioinformatics workflows. Covers Nextflow, Snakemake, WDL/Cromwell, container orchestration, and best practices for reproducible computational biology. Use when ", " is mentioned.
Quickly capture a thought, fact, or reminder into Basic Memory as a lightweight note. Use when the user says "remember that…", "note this", "save this to memory", or runs /basic-memory:bm-remember. For quick deliberate capture — not full decision or session records.
Solutioning skill (Winston, the Architect). Produces architecture.md with ADRs and systematic NFR coverage, mapping every FR/NFR from the PRD to a concrete design decision. ONE architecture forces all future parallel dev agents to share the same API style, data model, state management, naming conventions, and security approach — catching alignment here is 10x cheaper than during implementation. Use when the user says "design the architecture", "create architecture", "/architecture", "solutioning", "tech stack", "system design", "ADR", "architecture decision record", "data model", "API design", "NFR coverage", "non-functional requirements", or after a PRD is done and they ask "what's next" / "ready for solutioning". Supports Create (new architecture.md), Update (revise against PRD changes), and Validate (check coverage + ADR completeness). PLANS only — never writes application code, runs tests, lints, or builds.
Import QA test cases from CawPlan (Requirement/TestPoint or INLINE session cases) into TestRail with preview-first workflow. Use when: SQA wants to push T1-generated cases to TestRail; after test-point generation, expand cases and import; re-import after requirement updates (skip-only, no overwrite). All title-only cases → optional Steps-confirm (guide to `/cawplan-testcase-generate` or continue without steps); ≥1 expanded case → seamless import. When a re-import skips cases because stale mappings point at cases already deleted in TestRail, hints the user to unlink them via `cawplan-testrail-link` (this skill never unlinks). NOT for: generating test points (use `cawplan-testpoint-generate`); archiving requirements (use `cawplan-requirement-analyze`); creating Test Plans/Runs (use `cawplan-testplan-layout`); unlinking or re-linking case mappings (use `cawplan-testrail-link`); failure-to-defect (use `cawplan-defect-ticket`); release risk (A5).
Find CawPlan tickets that need UX attention, or summarize a product's UX members' design completion: pending UX for a version, high-priority tickets missing UX design, a Team's UX-pending queue, or tickets that product's Designers marked UX Ready in a date range. Use when: the user asks which tickets need UX follow-up/review/spec for a version, which high-priority tickets need UX but don't have a design yet, which Team hasn't had UX provided for its tickets, or asks for a product's UX members' UX/design completion summary. NOT for: creating or updating tickets, setting a ticket's UX status, general ticket search, or release tracking (use `cawplan-plan-track` for version release health).
Use for installing ChatCut (安装 ChatCut), recreating a viral or reference video with the user's own footage (recreate, clone, remake, 复刻爆款, 复刻视频, 做同款), and MANDATORY before hosted ChatCut video editing in Claude Code. Also use whenever video editing should stay editable in ChatCut, even if the user does not mention ChatCut: edit or cut a video (剪视频、剪辑), add captions or subtitles (加字幕), clean up a talking-head recording (剪口播), or add B-roll, music or motion graphics. Default new installations and generic source-video remakes to Desktop; honor user-selected Skills/workflows, existing Web projects and explicit Web requests. Covers hosted connection setup and editing tools.
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.