Skills
99,064 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Summarizes WeChat official account article content. Use this skill when the user provides a WeChat official account article link (mp.weixin.qq.com) and asks to summarize, outline, abstract, or quickly understand the article. Also applies to requests such as "help me see what this article is about," "what does this official account article say," or "summarize this link." Whenever you see a mp.weixin.qq.com link and the user wants to understand the content, you should use this skill.
Builds a canonical WEEKLY outreach report for a client as a standalone narrative page — the exact 7(+2)-section format instead of a dashboard dump. Pulls live data from the client's outreach platform (LinkedIn automation and/or email sending tools), applies the known platform gotchas, classifies every reply with root cause, and ends with gold leads + ready-to-send drafts. Trigger with: "weekly report", "outreach report", "analyse this week's results", "build the report from our template". NOT for batch reply forensics alone (use reply-audit) and NOT for benchmarking a single metric (use outbound-analyst).
Use when someone wants to run a weekly review, close open loops, audit stalled projects and commitments, get their system back to trusted, restart a lapsed review habit, or says "/cs-weekly-review". Walks David Allen's three-phase loop — GET CLEAR, GET CURRENT, GET CREATIVE — with deterministic scripts that inventory open loops, gate the checklist with named gaps, and score commitment health 0-100.
Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.
Use when wiring an Arduino, ESP32, ESP32-S3, Pico, or Pico W to sensors, LEDs, motors, relays, buses, or external supplies, especially when 5 V and 3.3 V logic, current limits, pull-ups, level shifting, inductive loads, or safe defaults matter.
Generative multi-approach design or solution panel. Generates N independent candidate solutions from different angles (MVP-first, risk-first, user-first, performance-first, etc.), has parallel judges score them on multiple dimensions against re-read evidence, then synthesizes the winner by grafting the best ideas from the losers. Use for "which approach?", architecture decisions, design problems, "best way to implement X". Settles by direct oracle / throwaway prototype before convening the panel where possible. Invoke via /work-judge.
Run an extremely strict maintainability review of the current diff for abstraction quality, giant files, duplication, layering leaks, and spaghetti-condition growth. Measures with oracles before opining, applies diverse review lenses, and sweeps outside the diff for completeness. Effort tiers: low/medium → fewer lenses, highest-confidence findings only; high → all lenses + completeness sweep; ultra → fan lenses across files in parallel. Use for a deep code quality audit or an especially harsh maintainability review.
Implement a task N ways in parallel and pick the best — by OUTCOME, not by pitch. Spawns N sub-agents in isolated git worktrees, each from a DISTINCT angle, gates every candidate through a per-candidate oracle (build + typecheck + test + lint), grades survivors from the ACTUAL diff (never the self-report), runs a completeness sweep on the winner, applies it to main, and re-verifies the oracle green before declaring a winner. Use when asked to "best of n", "try multiple approaches", "parallel implementations", "/work-tournament", or "/bon".
Memory safety, thread safety, concurrency, and critical detection patterns for workerd code review. Covers V8/KJ boundary hazards, lifetime management, cross-thread safety, and coroutine pitfalls. Load this skill when reviewing any C++ code.
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.
Use when the user needs to analyze WeRead reading history, generate reading reports, visualize reading statistics, notes, bookshelf, word clouds, heatmaps, radar charts, or export a fully formatted HTML report. Also applies to creating an example reading report for AI founders. Not for general book recommendations, or raw WeRead API queries that do not produce a report.
ZenTao (禅道) product plan management — list product plans and get product plan details. Triggers when the user says: 'query product plans', 'product plan list', 'what plans are there', 'productplan 列表', 'view product plan', 'plan details', '禅道产品计划'.
A dedicated Skill for renovation inspection guidance. Covers the full process, including concealed plumbing and electrical work, masonry and carpentry inspections, final inspection and handover, and inspection tools and checklists. Reverse-chronologically compiles highlights from the paid knowledge base of Xi'an Renovation Classroom to help users carry out renovation inspections with less hassle and fewer pitfalls.
Challenges requirements, removes unnecessary work, and simplifies design before writing code. Activates when asked to build, implement, automate, add a feature, create a service, migrate, or replace a process. Does not activate for general code writing, bug fixes, or simple edits.
Drill into root cause with a 5-Why chain, why analysis, or structured root cause investigation. Builds a Why chain from symptom to systemic root cause, validates each step with evidence, and detects circular reasoning. Use for 8D D4, CAPA, FMEA cause analysis, or any quality investigation requiring confirmed root cause identification
Open an 8D, run a G8D or TOPS-8D investigation, respond to a warranty complaint, or handle a customer quality escape with the 8 Disciplines methodology. Covers D0 emergency response through D8 team recognition with gate validation. Required for automotive OEM complaints — Ford, BMW, VW, Stellantis — and any quality escape needing documented root cause and PCA.
Use when starting or adapting an A4 single-column OpenPress academic / research paper starter for conference drafts, journal preprints, course papers, technical reports, or thesis-style chapters with abstract, numbered sections, figures, tables, and a references list.
Use when an author has received peer-review comments and scores for an academic paper and needs to diagnose underlying reviewer concerns, decide whether a rebuttal is worthwhile, plan rebuttal experiments, or prepare evidence-grounded response material and revision plans for the author to review and finalize. Produces author-review material, never submission-ready rebuttals; venue generative-AI policies must be checked before use. Never fabricate results, reviewer intent, citations, or manuscript locations.
Review product accessibility and inclusive UX for web, mobile, desktop, SaaS, games, developer tools, checkout, onboarding, settings, forms, dashboards, notifications, motion, keyboard, screen reader, touch, color contrast, focus, error recovery, cognitive load, reduced motion, captions, localization, and assistive technology compatibility. Use when designing, building, or auditing product flows for accessible, usable, modern experiences.
Build a structured account plan for any key customer or target account. Use when asked to create an account plan, key account strategy, strategic account review, or territory plan. Produces a complete account plan with relationship map, growth opportunities, risks, and 90-day action plan.
Actix-web Rust web framework. Covers routing, extractors, middleware, state management, and WebSocket. Use for high-performance Rust APIs. USE WHEN: user mentions "actix-web", "actix", "rust web framework", "rust api", asks about "rust async web", "actix middleware", "actix extractors", "rust websocket", "high performance rust api" DO NOT USE FOR: Axum projects - use `axum` instead, Rocket projects - use `rocket` instead, Warp projects - use `warp` instead, non-Rust backends
Use when the user asks to refactor, clean up, or restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (>100 lines), simplifying deeply nested conditionals, removing dead code, improving variable naming (Hungarian notation), eliminating duplicated logic, or reducing functions with too many parameters. Also triggers on Portuguese phrasing like "refatorar rotina", "melhorar esse fonte", "extrair funcao", "remover codigo morto", "simplificar condicional", "reduzir complexidade", or "God function" complaints.
Use when the user wants to write, run, or troubleshoot automated regression tests for Protheus routines with ADVPR (Advanced Protheus Robot) -- covering FWTestHelper API, TestSuite/GPS de Testes setup, headless execution via FwExecSuite, and per-pattern scripting (MVC, ExecAuto/MSExecAuto, reports, processing routines, webservices, SmartLink, Smart View, single-message/TOTVS Message) plus routine preparation (screen bypass) and best practices. Also triggers on Portuguese phrasing like "teste automatizado", "robo de testes", "automacao de testes Protheus", "rodar suite de testes", "FWMyTestRunner", "GPS de testes", or "preparar rotina para teste automatico". The referenced files are written in Brazilian Portuguese.
When the user wants to optimize aerospace and defense supply chains, manage long lead-time components, handle MRO operations, or ensure AS9100 compliance. Also use when the user mentions "aerospace supply chain," "aviation manufacturing," "MRO supply chain," "AS9100," "aircraft parts," "defense procurement," "AOG support," "airworthiness," "ITAR compliance," "aerospace certification," or "aviation aftermarket." For general manufacturing, see production-scheduling. For quality, see quality-management.
Research a UI design aesthetic and produce exhaustive, implementation-ready design guidelines for coding agents. Use when the user names an aesthetic (brutalist, glassmorphism, retro-futuristic, Swiss modernist, Apple HIG, neumorphism, minimalism, cyberpunk, Material Design, art deco, vaporwave, etc.) and wants a complete style guide with exact CSS values, color palettes, component states, animations, and typography — detailed enough for a coding agent to faithfully implement the aesthetic with zero ambiguity.
Agent-first media toolkit for image, video, and audio processing. Use when you need to resize, convert, generate, edit, upscale images, remove backgrounds, extend or crop canvases, extract audio, transcribe speech, or generate videos. All commands return deterministic JSON output.
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
Write clear, plain-spoken code comments and documentation that lives alongside the code. Use when writing or reviewing code that needs inline documentation like file headers, function docs, architectural decisions, or explanatory comments. Works well for both human readers and AI coding assistants who see one file at a time.
Use when the user wants to build, initialize, validate, optimize, or refactor a model-powered assistant, internal tool, automation, evaluator, or workflow from a business scenario or common problem statement, including project-structure refactors or starter skeletons that may separate model setup, prompt config, and orchestration, even if the request also mentions a UI, app shell, or local model service such as Ollama, and it is still unclear whether the solution should stay a single request, add supporting capabilities, or become orchestration. The user does not need to mention Agently explicitly.
Skip the learning curve of professional editing software. Describe what you want — apply a jiggle bounce effect to this image to make it look animated — and get jiggle animated videos back in 20-40 seconds. Upload MP4, MOV, JPG, PNG files up to 200MB, and the AI handles AI jiggle animation automatically. Ideal for TikTok creators who want to add fun motion effects without editing software.
Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video
Channel the strategic thinking of fastest-growing AI startup founders. Use when asked to analyze current state, brainstorm strategy, set OKRs, or create execution plans. Provides founder personas, strategic frameworks, and battle-tested patterns from Anthropic, OpenAI, Mistral, Scale AI, and others.
AI voice generation, text-to-speech, and voice synthesis via inference.sh CLI. Models: Inworld TTS-2 (100+ languages, emotion/non-verbal steering), Inworld TTS 1.5 (ultra-low latency), ElevenLabs (22+ premium voices, 32 languages), Kokoro TTS, DIA, Chatterbox, Higgs, VibeVoice for natural speech. Capabilities: multiple voices, emotions, accents, long-form narration, conversation, voice transformation, delivery mode control, character voices. Use for: voiceovers, audiobooks, podcasts, video narration, accessibility, gaming NPCs, avatar audio, UGC. Triggers: voice cloning, tts, text to speech, ai voice, voice generation, voice synthesis, voice over, narration, speech synthesis, ai narrator, elevenlabs, eleven labs, natural voice, realistic speech, voice ai, voice changer, inworld, inworld tts, character voice, npc voice
An infographic skill for AI agents — works inside Claude Code, Codex, Hermes, OpenClaw, Cursor, and any agent host that loads skills. Create professional infographics as self-contained HTML files with PNG exports. Use when the user asks to create, design, generate, build, or make an infographic, data visualization, visual explainer, chart poster, cheatsheet, or pocket guide. Trigger phrases include "make this visual", "turn this into a graphic", "visualize this data", "infographic for X", "cheatsheet for X", or when the user provides structured data (tokenomics allocations, ecosystem/partner lists, timelines, comparisons, step-by-step processes) AND asks for a visual output. Covers tokenomics, ecosystem overviews, game overviews, cheatsheets, airdrop guides, comparisons, and process flows. Do NOT trigger for plain text answers, markdown tables, bulleted summaries, questions asking for advice or explanations about a topic (even when the topic is tokenomics, ecosystem, vesting, etc.), inline chat diagrams, or data processing with no visual output requested. The signal is "asks for a visual", not "mentions a keyword".
This skill should be used when the user asks about "survey design", "questionnaire construction", "Likert scale", "question wording", "response bias", "survey tool", "Google Forms", "Qualtrics", "SurveyMonkey", "Typeform", "pilot testing", "survey distribution", "act as a survey builder", "survey builder mode", "survey instrument", "closed-ended questions", "open-ended questions", "rating scale", "semantic differential", "survey flow", "skip logic", "branching logic", "response rate", "survey fatigue", "questionnaire validation", "pre-test survey", "online survey", "survey analysis", "Cronbach's alpha", "factor analysis", "survey consent form", "demographic questions", or needs expertise in designing, building, distributing, and validating survey instruments. Part of the AlterLab FC Skills collection (Research Methods & Academic Writing department).
This skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.
Analyze current TikTok offsite heat, recent-month momentum, and commercial signals for one or more Amazon ASINs with compatible KOLSprite MCP tools. Use when an Amazon seller provides ASINs or Listings and asks whether they have TikTok signals, how the latest 30 days compare with the prior 30 days, or which ASIN has the stronger TikTok opportunity. Do not use for generic TikTok research, exact Amazon sales attribution, or future-sales prediction.
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.