Skills
98,873 packaged capabilities and playbooks for agents. Install any of them with one command.
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WeChat official account title generation and evaluation skill. Based on a confirmed topic, outline, and target readers, generate 8 title candidates, filter out low-quality titles, and recommend the 1 title most worth publishing. Applies at the titling stage before or after writing; does not cover the body text.
Use when you need to turn a vague idea into a confirmed design spec before implementation (new feature/component/behavior change). First check project context, then ask one question at a time, provide 2-3 options with trade-offs, finally output design in segments (~200-300 words each) with confirmation after each. Triggers: brainstorm, clarify idea, design spec, refine concept, requirement clarification.
Use when you need to ship a single PR-sized feature end-to-end (plan -> implement -> verify) with artifacts. Ship core product features quickly in a Next.js codebase: turn a feature idea into an executable plan, implement in PR-sized slices, and keep artifacts under runs/ (or OpenSpec changes/ when available). Supports plan-only mode for early scoping. For prototype UI work, include a demo-ready wow moment (animation/micro-interaction) by default unless user opts out.
Pre-work validation before starting implementation. Use when beginning work on an issue, feature, or fix to verify remote state, check for existing PRs, detect branch conflicts, and prevent redundant work. Catches problems that cause wasted effort: already-merged fixes, stale branches, unclean diffs.
Extract a shareable runnable template under templates/NNN-slug/ from a real project: copy + de-brand + remove secrets + add env examples + docs, with minimal refactors. Use when you have a working project and want to turn it into a template.
Bootstrap a new or existing WordPress project with the full wp-agent-kit system: monorepo detection, Composer/WPackagist/SatisPress setup, Playground local dev, WP Engine dev/staging/production, CI gate, git hooks, and plugin packaging. Use when setting up a new WordPress project from scratch, onboarding an existing codebase, or wiring up a monorepo with multiple plugins/themes.
Use when working with Gravity SMTP: installing, configuring, or troubleshooting WordPress transactional email delivery via SendGrid, Mailgun, Postmark, Brevo, SES, or custom SMTP. Critical: always verify version ≥ 2.1.5 to protect against CVE-2026-4020 which leaks API keys via unauthenticated REST endpoint.
Use for Gravity stack setup and orchestration: SatisPress/Composer configuration for the full plugin suite (Gravity Forms, SMTP, Connect, GravityView, Spellbook, Pods), reading the .cursorrules and llms.txt templates, or understanding how all products fit together. For product-specific work, load the individual skill instead.
Use when working with GravityView or GravityKit products: creating Views to display Gravity Forms entries on the front-end, configuring search/sort/filter, entry approval workflows, edit-entry forms, role-based access, merge tags, shortcodes, or the GravityActions/GravityBoard extensions.
Use when working with the Pods Framework: creating or managing custom post types (CPTs), custom taxonomies, custom database tables (ACTs — Advanced Content Types), or custom fields via Pods. Critical for AI agents: always declare whether a Pod uses wp_postmeta or ACT storage before writing any DB queries, WP_Query, or pods_field() calls.
Design and write high-quality Claude Code agents and agent prompts. Use when creating or updating .claude/agents/*.md for (1) single-purpose subagents (reviewers, implementers, researchers) and (2) workflow orchestrators (multi-phase coordinators like pr-review, feature-development, bug-fix). Covers delegation triggers, tool/permission/model choices, Task-tool orchestration, phase handoffs, aggregation, iteration gates, and output contracts. Also use when deciding between subagents vs skills vs always-on repo guidance.
Writing clone engine (Profile edition) - first initialize and generate your style Profile, then create WeChat official account / self-media content in your style. **Trigger scenarios**: - The user asks to write a WeChat official account article or self-media content - The user mentions "in my style", "write like me" - The user asks to remove the AI flavor and improve the writing style - The user wants to initialize/update their style Profile **Core capabilities**: - Supports multiple named Profiles: continuously add new ones without overwriting existing style assets - Initialize on first use: distill a style Profile + sample anchors from reference articles - Actively gather context first (repository + memory + material library), then write - Judge whether context is sufficient first, and only fill gaps with Socratic questioning when it is not - Single-threaded writing by default (the main agent completes the whole process in one thread, for more stable style) - Optional multi-threaded mode: generate three viral-structure drafts in parallel, then score and pick the best or merge in a controlled way - Avoid the "AI flavor" and keep a sense of authenticity and conversation - Automatic iteration: update the Profile with new reference articles/feedback
Generate lightweight technical specification documents with PlantUML diagrams. Use this skill whenever the user asks to design a feature, plan an implementation, document architecture changes, specify database schema changes, describe API endpoints, or needs to capture WHAT changes across services - even if they don't explicitly say "tech spec" or "specification".
This skill should be used when a developer wants to open a pull request for a completed trace branch — for example "create a PR", "open a pull request", "submit this for review", "make a PR for trace #42", "push this up for review", or "create PR from current branch". Reads the Trace + Feature + Epic hierarchy to write a meaningful PR description. Handles branches with or without a linked WTF trace issue.
This skill should be used when a developer or QA engineer wants to report a bug, create a bug ticket, document a test failure, log a defect, file an issue found during a QA session, or report something that is broken — for example "report a bug", "create a bug ticket", "I found a defect", "something is broken in trace #X", or "document this test failure". Files a structured GitHub Bug issue that links the originating Trace and Feature, maps failing Gherkin scenarios as reproducible test evidence, and fills every section of the BUG template.
WeChat Official Account article publishing tool. Use the wxgzh CLI to publish Markdown articles to the Official Account drafts. Triggered when the user wants to publish an Official Account article, configure AppID/AppSecret, generate a cover image, convert Markdown to HTML, or manage multiple accounts.
Dedicated Skill for the small-apartment renovation pitfall guide. Covers the full process including space-enlarging tricks, storage and space utilization, layout and partition renovations, mini apartments and studio units, and small-apartment overviews, integrating the highlights of the Xi'an Renovation Classroom members' edition knowledge base in reverse order, helping users renovate small apartments with less hassle and fewer pitfalls.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualisation. Use when working with spreadsheets (.xlsx, .xlsm, .csv, .tsv) for creating new spreadsheets with formulas and formatting, reading or analysing data, modifying existing spreadsheets while preserving formulas, data analysis and visualisation, or recalculating formulas. Do NOT use for plain CSV/TSV manipulation when no formulas, formatting, or multi-sheet workbook structure is needed - plain text tooling is faster. Do NOT use for BigQuery or warehouse-scale SQL analysis.
XRPL payments playbook for AI agent developers. Covers the full developer journey: wallet setup, XRP payments, RLUSD and IOU token payments, cross-currency payments, escrow, agentic best practices (SourceTag, Memos, audit trail), and testnet-to-mainnet migration. Use this skill whenever a user asks about sending XRP or RLUSD, trust lines, xrpl-py, xrpl.js, agentic transactions, SourceTag, the XRPL AI Starter Kit, X402 payments on XRPL, or building any payment workflow on the XRP Ledger. When in doubt, load this skill — general training data for XRPL is often outdated or imprecise. This skill constructs transactions. The XRPL Agent Wallet skill signs and submits them. For wallet creation, key loading, or anything involving a seed or private key, defer to the XRPL Agent Wallet skill.
When the user wants to optimize yard operations, manage trailer parking, or improve dock door utilization. Also use when the user mentions "yard management," "trailer tracking," "yard jockey," "drop trailer program," "trailer pool," "dock scheduling," or "gate management." For cross-dock operations, see cross-docking. For warehouse design, see warehouse-design.
Use ChatCut to complete spoken-word, Talking Head, knowledge explanation or product introduction video editing in stages, including A-Roll removal of pauses/repetitions/stumbles, spoken-word pacing adjustment, semantic punch-ins on key points, B-Roll arranged from user assets, Simplified Chinese subtitles, sound effects and background music. Use when the user asks to "cut this spoken segment", "add B-Roll with my assets", "make a complete spoken-word video", or explicitly asks to use ChatCut for spoken-word editing; after A-Roll is complete you must pause and wait for explicit user confirmation, and must not proceed to B-Roll or any later stage without it.
Batch download WeChat public-account article bodies, historical article lists, original-article filtering, historical count conventions, read counts, like/share metrics, comments and comment replies. Use when the user asks to batch fetch mp.weixin.qq.com articles, export WeChat public-account history, distinguish publish groups vs expanded article URLs vs original articles, use wechat-article-exporter, use wxdown-service credentials, collect read/comment metrics, or create an archive for Obsidian/Feishu/local analysis. Do not use for ordinary one-off article summarization unless batch/enhanced data is requested.
Operate 蚁小二 multi-platform content distribution via the yxer CLI: account lookup, asset upload, pre-publish preparation, payload validation, cloud/local publishing, draft saving, material registration, publish-record troubleshooting, and skill sync.
Yup schema validation library. Popular with Formik for form validation. Use when building forms with React/Formik or needing schema-based validation. USE WHEN: user mentions "Yup", "Formik validation", asks about "yup schema", "Formik setup", "form validation library" DO NOT USE FOR: Zod projects (use zod skill), NestJS/class-validator (use class-validator skill), new projects (prefer Zod)
Complete guide to zapret-openwrt, an anti-DPI tool for OpenWrt routers. Use for any zapret-openwrt question: project architecture, configuration, DPI bypass strategies, LuCI web UI, scripts, updates, diagnostics, custom.d hooks, host lists, nfqws parameters, procd service management. Also use for development: adding strategies, changing the UI, writing custom.d scripts, debugging. Triggers: zapret, nfqws, DPI desync, обход блокировок, антиблокировка, zapret strategies, hostlist, autohostlist, стратегии zapret, роутер, блокировки.
Read-only crypto wallet insights via the Zerion CLI: portfolio value, token holdings, DeFi positions, transaction history, PnL, and watchlist management. Use whenever the user asks 'what's in this wallet', 'how is X doing', portfolio/PnL/positions/transactions for any address, ENS name, local wallet, or watched address. Supports x402 / MPP pay-per-call. Pair with `zerion-trading` for execution after analysis.
Zheng Xi viewpoints library — a traceable research skill built on the full corpus of public statements by E Fund fund manager Zheng Xi from 2012–2026, plus an investment method distilled from the corpus and backed by his own words. It can: (1) traceable Q&A — how he views AI compute/optical communications/new energy/semiconductors/ROE and more, answering with his original quotes; (2) explain his investment method/framework/stock-picking logic; (3) forward-looking application — use his method to analyze any current theme/industry/stock, reasoning from the framework even if the corpus never covered it; (4) stylized commentary — write market commentary and quarterly outlooks in the voice of his quarterly reports/notes; (5) words vs holdings — use the real data of all his funds (quarterly holdings/net value/performance/size/tenure returns) to check the "said" against the "bought", or answer his performance/top holdings/size; (6) market-wide lookup and comparison — a built-in list of about 27,000 funds, fetching real data for any fund on demand for lookup or comparison with Zheng Xi; (7) Zheng Xi framework scoring — score a fund by his method (how much it looks like what Zheng Xi would buy). When the user mentions 郑希/易方达郑希/zhengxi, asks his view on a sector/stock/theme, his 投资方法/框架/选股/风格/持仓/业绩/净值/规模, wants to apply his approach, a commentary 用郑希口吻, to check words vs holdings, or to look up/compare/score ANY China mutual fund (任意基金/某基金经理/同类对比/给基金打分)——use this skill, even if they don't say "skill", even if the topic isn't in his corpus (fall back to his method). Citations stay faithful to the original text with no fabrication; inference is distinguished from his own words. A research and learning aid, not investment advice.
Creates a Pull Request from current changes for OneKey app-monorepo. Use when user wants to create PR, submit changes, or merge feature branch. Handles branch creation, commit, push, and PR creation with conversation context extraction for code review AI.
Search a library of 4,600+ AI motion graphics with their prompts and 2,100+ video-editor presets before building any motion graphic or video edit from scratch. Use whenever the user wants styled captions on video (karaoke, word-by-word, TikTok, Reels, Shorts), hooks, kinetic typography, titles, lower thirds, text behind the subject, transitions, colour grades and film looks, split-screen layouts, font pairings, logo reveals, intros, product launch videos or explainer videos, in HyperFrames, Remotion or HTML, even if they only say make or build and never ask for examples. Returns ready presets that one MIT engine renders as a pure function of time, real examples with prompts and creator credit, and 40 explainer styles with starter prompts. Not for converting, trimming or transcribing video files or fixing a framework install.
ES — Harshly critiques an idea, plan, pitch or whole project without validating or flattering: assumes it will fail and proves it across eight angles (premises, market, competition, viability, numbers, execution, pre-mortem and blind spot), researches real failures when tools are available, and returns a blunt verdict with a prioritized list of what to fix. Activate with /abogado-del-diablo, "hazme pedazos esto", "critica mi idea sin filtros", "dime por qué va a fallar", "destruye este plan", "segunda opinión brutal", "pre-mortem". EN — Harshly critiques an idea, plan, pitch, or whole project without validating; assumes it will fail and proves it across eight angles, then returns a blunt verdict with a prioritized fix list. Trigger on "devil's advocate", "red team this", "tear this apart", "why will this fail", "brutal second opinion", "pre-mortem".
Extract semantic structure and transferable style grammar from academic figures, PDFs, and paper or figure URLs for analysis, redraws, or reference-conditioned generation. Do not use it for paper-text-only figure planning.
Perform deep WCAG 2.1 AA compliance audits on UI code. Use this skill when the user wants an accessibility review, WCAG audit, a11y check, screen reader compatibility review, or keyboard navigation assessment. Also trigger when the user mentions 'accessibility', 'a11y', 'WCAG', 'screen reader', 'keyboard navigation', 'color contrast', 'ARIA', or asks 'is this accessible'. This goes beyond the design reviewer's basic accessibility checks to provide comprehensive WCAG criterion-by-criterion analysis
Mount tRPC as Express middleware with createExpressMiddleware() from @trpc/server/adapters/express. Access Express req/res in createContext via CreateExpressContextOptions. Mount at a path prefix like app.use('/trpc', ...). Avoid global express.json() conflicting with tRPC body parsing for FormData.
Add a custom domain to a Temps project and provision an automatic SSL/TLS certificate via Let's Encrypt, driven entirely from the `@temps-sdk/cli` CLI. Handles subdomains, apex domains, HTTP-01 and DNS-01 challenges, wildcard domains, and domains served through a Cloudflare Tunnel (no certificate, no open ports). Use when the user wants to: (1) Add a custom domain to their Temps app, (2) Set up HTTPS/SSL for a deployment, (3) Point their own domain at a Temps project, (4) Add a wildcard domain, (5) Configure DNS for Temps, (6) Expose an app on a worker behind NAT through a tunnel. Triggers: “add custom domain”, “point my domain at temps”, “set up ssl”, “https for my app”, “wildcard domain”, “add domain to project”, “cloudflare tunnel”, “expose app without open ports”.
Local machine administration for Windows, WSL, macOS, Linux. Install tools, check if software is installed, manage packages, configure dev environments. Works with winget, scoop, brew, apt, npm, pip, uv. Profile-aware: adapts to your preferences. Use when: install 7zip, is git installed, clone repo, check if node installed, add to PATH, configure MCP servers, manage dev tools, set up environment. NOT for: VPS, cloud servers, remote infrastructure → use devops skill.
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.