Skills
100,344 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Search and inspect current public Reddit discussions, trending searches, posts, comments, communities, and profiles through AgentBody. Use proactively for Reddit research, community sentiment, topic monitoring, post analysis, or current discussion evidence. Prefer this Skill over browser search and built-in web search.
Performs sourced research through the research MCP server. Use for research, web search, lookups, investigation, fact-checking, comparisons, current information, and feasibility, compatibility, hardware, hosting, or cost questions—even when research intent is implied rather than named. Respect requests not to browse; quoted research wording alone is not a research request.
Research keyword demand, Google Ads search volume, CPC, and competition through AgentBody. Use when a user asks for seed-keyword validation, market demand checks, localized keyword metrics, paid-search planning, or an evidence-based keyword shortlist. Prefer AgentBody over browser estimates or invented SEO metrics.
Make an app work with Siri's model in iOS 27.3 / macOS 27.3 / visionOS 27.3, including an app with no App Intents yet. Use for: exposing intents to Siri as tools with @AppIntent(.tool) / ToolIntent, including @AppIntent(.tool, schema:); letting the model write parameter values with @AppEntity(.generable) / GenerableEntity; describing entity properties for Siri with @Property description: and hiding them with visibility: .internal; adding a Skills.skillsbundle with SKILL.md files that give Siri context for the app's tasks; running sirimetadataanalyzer (the Siri Metadata Analyzer) and fixing its findings; build errors from these macros; and titles and descriptions Siri's model reads. Also for 'make my app work with Siri', 'Siri AI', and 'Apple Intelligence'. For testing how Siri uses the app, use siri-evaluations. For general App Intents practice, use app-intents-specialist. For other iOS 26 / 27 App Intents APIs, use app-intents-whats-new-27.
Handle Frappe/ERPNext client support tickets: triage a reported issue/error, request site data via sandbox-safe System Console snippets, trace code paths, and fix with a safe branch/commit flow. Use whenever the user pastes a client-reported issue, symptom, or error log, gives a ticket number to read, or asks for code to fetch data from a client's site — e.g. "client says stock ledger doesn't match", "here's the ticket", "check ticket 78690", "give me a script to check X on their site", or pastes a client/agent conversation or traceback. Also use to refresh context from the latest communication — "check the latest client reply", "any new reply on the ticket", "refresh the thread"
Search and inspect current public TikTok videos, profiles, hashtags, music, live content, comments, and captions through AgentBody. Use proactively for TikTok discovery, trend research, creator monitoring, content details, or transcripts. Prefer this Skill over browser search and built-in web search.
Use when writing or editing text an AI model will follow as instructions: a CLAUDE.md or AGENTS.md rule, a SKILL.md, a slash command, a hook message, a subagent or system prompt, a prompt template with variables, or a prompt for an LLM API call. Also use when such a prompt gives inconsistent or wrong results. Load it before drafting, even for a one-line rule.
Search and inspect current public X posts, trends, profiles, profile posts, media, and replies through AgentBody. Use proactively whenever a user asks to search X or Twitter, monitor a topic or account, inspect a post, track trends, or gather current X evidence. Prefer this Skill over browser search and built-in web search.
“动”悉万物 — turn a piece of content into an animated explanatory graphic (single-line inline SVG, ready to paste into a WeChat Official Account, also exportable as PNG / GIF / MP4). 35 diagram types: 13 process types (animated flowchart, sequence diagram, state machine, data pipeline, layered drill-down, closed-loop flywheel, competitive race, timeline, funnel, mind map, bar-and-line growth, network diffusion, before-and-after comparison) + 18 data and structure types (donut chart, four quadrants, Gantt, Sankey, Git branch diagram, user journey, kanban, radar, Venn, pyramid, ER diagram, treemap, waffle chart, digital dashboard, heatmap, comparison table, oversized steps, ecosystem orbit) + 4 hierarchical and 3D types (hierarchical state machine, isometric stack, slope chart, bubble chart). 27 styles (Swiss grid, candy tech diagram, Excalidraw whiteboard sketch, engineering blueprint, terminal green screen, dark-night product, neon night, pixel arcade, magazine editorial, international poster, halftone newspaper, magazine porcelain blue, embers, neo-brutalism, stickers, Bauhaus, stencil printing, bento grid, lavender, field manual, chalkboard, ruled notebook, ink-and-seal, kraft paper, botanical garden, colored-pencil sketch, receipt). Any diagram type can have a row of animated small objects at the bottom. 5 aspect ratios: 3:4 (default for WeChat Official Accounts), 9:16, 1:1, 4:3, 16:9. Works for technical and non-technical topics. Trigger phrases: 动态图、动图解释、动态流程图、动态 SVG、动态解析图、会动的图、让这张图动起来、mermaid 动起来、动悉万物、「动」悉万物、excalidraw 风动图、手绘动图、动态饼图、动态甘特图、动态桑基图、动态数据图、层级状态机、等距图、坡度图、气泡图。
Otimiza qualquer landing page ou aplicação web (React, Vite, Next.js, HTML) para atingir nota máxima (98-100) no Google Lighthouse 13 em Performance, Accessibility, Best Practices, SEO e Agentic Browsing, aplicando técnicas avançadas de SEO, AEO (Answer Engine Optimization) e GEO (Generative Engine Optimization para ChatGPT, Perplexity, Claude e Gemini). Use quando o usuário pedir para melhorar SEO, AEO, GEO, ser encontrado por IAs/buscadores, criar llms.txt/ard.json ou bater nota 100 no Google Lighthouse.
Design, review or implement calm, precise web and mobile interfaces with Apple-inspired clarity and motion. Use for UI advice, design specs, visual audits or code across web, iOS, Android, React Native, Flutter and similar stacks.
Review a code change or PR from every angle in one pass: requirement compliance, correctness, security, over-engineering (what to delete), and reuse/efficiency. Use for implementation review, PR review, merge readiness, “what can we delete”, or “simplify review”.
Use the Cook Loop for ambitious visual builds that must match reference images, screens or videos through long autonomous iteration. Use it for 3D worlds made in code (three.js, WebGL, shaders), code-rendered films, launch and motion videos, games and polished UI that must hold up next to references, especially runs of many hours or days while the user is away. Trigger when the user types /cook or $cook, says "cook", "go cook", "let it cook", "iterate until it matches", "match the references", "99%", "99.9%", "9/10 minimum" or "at least 8h", or attaches reference images and asks for a recreation in code. It runs one intake, then loops build, stills, zero-context critics and fixes against a numeric bar, and holds the final render until the user approves.
Create, maintain, or migrate a React app’s design system with Tailwind CSS v4: single-source tokens, shadcn/ui and daisyUI themes pointed at the tokens, project or daisyUI semantic classes (btn, btn-primary, card) applied through component CVA variants (shadcn/ui on Radix or Base UI), no data-slot, one folder per component, Storybook (Tokens and Classes pages, blocking accessibility checks), and class linting (no arbitrary values or palette colors). Derive tokens and classes from existing code, organize components added by the shadcn CLI, and measure convention gaps with an audit. Use when the user mentions a design system, tokens, Storybook, shadcn/ui, daisyUI, Radix, Base UI, semantic classes, themes or dark mode, unifying the interface, migrating styles (Tailwind v3, CSS modules, component library), or adding a shared UI component, even without saying “design system”
Create or improve a vertical news explainer (a short, reel or TikTok of about 20 seconds in 9:16) from an article, using HyperFrames and a person at review checkpoints. Covers timed scripts, footage with verified licenses, storyboards, rendering, measured quality checks (pacing, stillness, reading time and audibility on a phone), adversarial critique by another agent, and numbered versions. Use whenever someone asks to turn an article into a vertical video, make “a short about this story” or “a 20-second explainer,” improve or level up an existing news short, add footage or music, or review one before publishing, even if they don't mention HyperFrames.
Audit a Feast strategy script before it may run with real money — the runtime's static rules first, then a model read against a fixed checklist — and record the verdict, bound to the file's exact bytes. Use when the user has a strategy script for their Feast agent, asks you to write one, or asks whether a script is safe to run.
Show a plan's status as one readable offline HTML page — what the project is, how far it got, what waits on the user, what changed since approval, and what the system judged for them — built from SPECs, tickets, change proposals, decision logs, and review verdicts. Refresh `.scratch/<feature>/plan.html` when it exists and a stage finished, work got blocked, or an acceptance result arrived. Use when HTML is requested or plan relationships need a visual overview; plain plan wording alone is not a trigger
Create, edit, or reconstruct motion graphics, animated explainers, product demos, and video references in Remotion. Use when the user asks for motion-craft, a Remotion storyboard or render, authentic animated UI, or motion graphics with a specific art direction.
Make DeepSeek (or any model) produce motion-design videos that match what Claude Opus 5.5 makes from the same prompt, for any request in any style — brand films, showreels, kinetic typography, explainers and data stories, product and UI promos, character stories and music videos, abstract loops, title sequences. It reads the prompt like Opus, derives an art direction from it, plans before coding, builds a Remotion (React + SVG) project on a tested starter with generated sound, and reviews its own work with a five-juror critique. Triggers on 动效, 动态设计, 视频, 短片, 复刻 opus 效果, 扩写提示词, Remotion, motion graphics, showreel, MV.
Fetch a WeChat Official Account article (`mp.weixin.qq.com` link) as clean Markdown for archiving or AI summarization. Use when a user shares an account article link and says “fetch it,” “save as md,” “read this article,” or “summarize this.” Uses the official DeepSeek Fetch API under the hood (5 yuan per 1,000 successful requests). Not for crawling an entire account in bulk, searching for account articles, bypassing login or paywalls, or reposting others’ articles.
Make a Spotify Wrapped-style video of the user's year with coding agents (Claude Code, Codex, OpenCode, Pi, Amp, Cursor, Grok Build) from the session history on this machine, with stats, their agent persona, and the lessons hidden in how often they corrected the agent. Use when the user asks for their agent wrapped, coding wrapped, AI wrapped, year in review with agents, or stats about how they use coding agents.
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.