Skills
101,323 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Configures Simulink simulations non-destructively using SimulationInput objects — parameter overrides without modifying the model, batch sweeps via parsim, custom input signals via Dataset, and simulation data retrieval via logsout. Use when running sim()/parsim() with setVariable, setBlockParameter, setExternalInput, or when performing parameter sweeps and multi-run analysis. Not needed for one-shot simulations without configuration.
Multi-step Excel data analysis orchestrator. Covers: (1) reading multi-sheet Excel files and counting rows, (2) large-file detection (automatic Parquet optimization at ≥10k rows), (3) data cleaning (missing values, text normalization, invalid characters), (4) conditional filtering and category extraction, (5) cross-sheet statistical aggregation, (6) exporting Excel/CSV with download links. Covers the full flow from data reading to report generation, orchestrating capability sub-skills step by step. **Proactively use this skill in any of the following cases instead of answering with a few lines of pandas**: ① the user uses trigger words: Excel 分析 / 表格分析 / 数据分析 / 数据清洗 / 数据统计 / 数据筛选 / 数据可视化 / 数据导出 / 汇总统计 / 透视表 / 分组统计 / 交叉分析 / 趋势分析 / 对比分析 / 异常值检测 / 去重 / 缺失值处理 / Excel 报告 / 生成报表 / analyze Excel / data analysis / data cleaning / pivot table; ② the user uploads or specifies a .xlsx / .xls / .csv file and asks for analysis, cleaning, statistics, or visualization; ③ the task involves any of multi-sheet reading, conditional filtering, category aggregation, or chart generation; ④ the user asks to export a formatted Excel report or a download link. Not for: pure text processing that does not involve tabular data, image analysis (use sn-da-image-caption), or simple Q&A with a single formula calculation.
Convert content between platforms (blog to Twitter thread, article to LinkedIn post, etc.). Optimize for each platform's format, tone, and best practices. Use when user wants to adapt content for different social media platforms.
Create comprehensive, deeply analyzed buy-side-style qualitative stock analysis reports from filings and public sources, with strict citations, a chapter-by-chapter workflow, and placeholders for missing evidence. Emphasizes active extraction and detailed analysis of SEC information. Use for qualitative analysis of Chinese listed companies.
Turn AI-written Japanese back into human-written prose. Use for drafting, editing, and reviewing. Beyond full-width dashes and favorite words, it also fixes the absence of a subject, proposition-style H2 headings, grandiosity, listing both sides, and uniform rhythm.
Sui Bridge — the native bridge for the Sui network. Use when explaining how Sui Bridge works, looking up supported assets, querying package IDs or contract addresses, understanding the global limiter, transfer parameters, finality requirements, or governance model. Also use when the user asks about bridging assets between Sui and Ethereum.
Implement a production GTAO path in Three.js. Use for half-resolution horizon sampling, reversed-depth reconstruction, bent-normal encoding, full-resolution bilateral reconstruction, environment-light application, contact grounding, and halo diagnosis.
[user] Organizes affected screens and entry paths for users to check themselves, and creates a single HTML QA sheet that saves checks and notes by default. Separates automated verification evidence from manual checks in the same session; returns Markdown or a list without a file only when explicitly requested. Not for product approval or PR submission.
The Stock Screener. Checks a list of companies against the user's own rules (revenue growth, margins, EPS, P/E, earnings yield, sector, anything in the metrics file), says exactly which rule each company passes or fails and by how much, and ranks the ones that pass into a shortlist. Reads the metrics /trader-analyst writes from SEC filings, or any CSV. Use when the user says "screen for stocks", "find me companies that", "filter my watchlist", "which of these pass my rules", "shortlist candidates", "rank these stocks", or "growing companies under 30 times earnings".
Statically inspects Triton operator code quality on the Host and Device sides for Ascend NPU. Identifies potential bugs, API misuse, and performance risks. Focuses exclusively on static code analysis. Keywords: code review, code inspection, static analysis.
Remove the "cara de IA" de sites, landing pages, apps, dashboards, docs e slides (HTML/CSS, Tailwind, React, shadcn). Use ao criar ou revisar qualquer interface, ou quando pedirem design "menos IA", "mais humano", "menos template", "menos SaaS", ou pedirem referências visuais (Pinterest, Dribbble, Awwwards). Cobre o processo inteiro: brief, rascunho antes do código, busca de referências no navegador, design system, construção e auditoria com detector. Pega os tells que a galera reconhece em 2 segundos: eyebrow acima do título, palavra do título em gradiente ou em outra cor, card com borda lateral, chip com bolinha pulsando, emoji no lugar de ícone, roxo do Tailwind, pill em tudo, glassmorphism, "como funciona" em 3 passos, Playfair com itálico no fim, site sem imagem, cara de SaaS pra padaria. Calibra a intensidade por intenção da página (convencer, operar, ler, mostrar) com três eixos observáveis, traz os números concretos de tipo, espaço, cor e hierarquia, um acervo de padrões de composição e motion que valem a pena, um briefing de design persistente por projeto e revisão renderizada com acessibilidade. Baseado nas 51 respostas à thread de @greco_dev (out/2026).
Drive and inspect the Umbraco backoffice reliably with Claude-in-Chrome browser automation. Use this WHENEVER you are about to use the mcp__claude-in-chrome tools against a running Umbraco backoffice — navigating sections, clicking tree items, filling forms, opening/closing modals, or visually verifying a backoffice extension (property editor, dashboard, workspace, tree, section, menu). The backoffice is Lit/web-components with open shadow DOM and modals that render off-screen, so the built-in find/read_page tools see nothing and screenshots lag behind the live DOM. This skill provides a shadow-DOM-piercing JS helper toolkit plus a navigation playbook so you read state from the DOM instead of guessing from pixels. Trigger even when the user only says "open the backoffice", "test the extension in Umbraco", "click through the backoffice", "log in and check it works", or "take a screenshot of the editor in Umbraco".
Humanize LLM output so it reads like a careful human wrote it. Subtracts AI-isms (sycophancy, tricolons, em-dash overuse, "delve"/"tapestry"/"testament", hedging stacks, tidy five-paragraph shapes), engineers burstiness and calibrated uncertainty, and preserves technical accuracy. Supports intensity levels: subtle, balanced (default), full, voice-match, anti-detector. Use when user says "humanize this", "make this sound human", "de-slop this", "rewrite without AI tone", "match my voice", "less robotic", or invokes /unslop. Also auto-triggers when text-quality is requested.
Build cited, evidence-labeled Splunk Enterprise upgrade plans and Splunk Cloud support-assisted version-change readiness plans without performing the upgrade. Use for upgrade scope intake, supported-path and prerequisite research, dependency compatibility, prechecks, backups, sequencing, maintenance-window readiness, rollback or recovery posture, go/no-go criteria, rehearsal, and post-upgrade validation planning.
Use when an agent needs to participate in the Vara Agent Network—scan the ecosystem and decide what to build (agent-create), onboard a Participant + Application, post chat, set identity card, post announcements, listen for and reply to mentions, or resolve handles. Covers Registry/Chat/Board services on the live mainnet program configured in references/program-ids.md. Do not use for building the underlying Sails program (use vara-skills) or for general Vara wallet operations.
Matches visualization types to data questions and creates narrated reports that highlight insights and recommend actions. Covers chart selection (comparison, trend, distribution, relationship, composition, geographic), perceptual best practices, and narrative reporting (headline, pattern, context, meaning, action). Use when analyzing data for patterns, building dashboards, presenting metrics, monitoring KPIs, or when user mentions "visualize this", "what chart should I use", "create a dashboard", "analyze this data", "show trends", "report on".
Read and use comments attached to the current PostHog task, its artifacts, and any canvas through the PostHog MCP exec dispatcher. Use when the user mentions task comments, artifact or canvas comments, annotations, selected-text feedback, replies, unresolved comments, or asks an agent to inspect or act on feedback left in PostHog Desktop. Covers exec discovery and calls, target filtering, pagination, full-thread retrieval, anchor/version context, task-scoped access, and standalone canvas comments that have no task
XYO Protocol 2.0 domain knowledge. Covers payloads, bound witnesses, schemas, the module system (archivist, diviner, witness, sentinel, node), accounts, wallets, and protocol best practices. Use before reviewing or approving XYO payload schema names and namespaces, as well as when building on XYO or working with @xyo-network packages. Also routes general XYO repository Git workflows and definition-of-done questions, and xy CLI/toolchain questions such as xy deplint role rules, to the companion ariestools-skills pack.
One-time setup for absolute: interview how you want it to behave (output style, autonomy, TDD strictness, spec dir, families) + detect the stack once, then write `.absolute.config.json` (project, committed) and `~/.absolute/config.json` (user defaults + per-project overrides). Every other absolute-* command reads it instead of re-detecting; non-blocking — commands proceed without it and soft-recommend it. Triggers on "absolute init", "set up absolute", "initialize absolute", "configure absolute", "first-time setup", "remember my conventions for this repo".
How to gate a PostHog API endpoint with project secret API key (PSAK) auth — a project-scoped, user-less service credential. Use when adding PSAK support to a viewset action, allowing a new scope for PSAKs, handling synthetic users (ProjectSecretAPIKeyUser), or choosing PSAK-aware rate throttles. Trigger terms: PSAK, ProjectSecretAPIKey, project secret API key, phs_ token, service auth, programmatic endpoint auth.
Sync columns from a synced data warehouse table onto PostHog person or group properties, so warehouse data becomes usable anywhere person and group properties already work: feature flag targeting, cohorts, insight filters and breakdowns, surveys, session replay filters, workflows, and the person profile. Use when the user wants to "add a person property from my warehouse", "enrich people with Stripe/Postgres/Salesforce data", "put ARR or plan tier on my persons", "target a feature flag by a warehouse column", "sync warehouse columns onto groups or organizations", or wants to inspect, backfill, disable, or debug an existing warehouse-backed person or group property.
Lets an AI agent or CLI session sign in to Internet Identity and act as a user's app-specific principal (e.g. for oisy.com or nns.ic0.app) via `icp identity link web`. Use when the user asks an agent to log in to an II-powered app, obtain a delegation, or make authorized canister calls on their behalf. Do NOT use for adding II sign-in to a frontend — use the user-sign-in skill instead.
Answer questions about the AI SDK and help build AI-powered features. Use when developers ask about Vercel AI SDK, generateText, streamText, ToolLoopAgent, useChat, providers, tools, structured output, embeddings, streaming, or adding AI to an app. First identify the installed major version and route version-specific work: use ai-sdk-7 for AI SDK 7 features/migrations such as WorkflowAgent, HarnessAgent, reasoning, runtime/tools context, toolApproval, telemetry, realtime, or v6-to-v7 upgrades; use ai-sdk-6 for v6 code.
Comprehensive AI security verification using OWASP AI Security Verification Standard (AISVS) framework. Use when verifying an AI-driven application, ML pipeline, or LLM-integrated system against AISVS, preparing for an AI security audit, or checking security and ethical controls across 13 categories from training data governance to human oversight.
Split a completed PostHog task run into activity records — what the agent tried, whether it worked, what blocked it — and record each one through the report_activity tool. Use when a task asks to analyze a run, produce a task analysis, or review a run from an attached run log. Covers the log query protocol (bounded jq queries over the raw JSONL), both log schemas, the activity schema, and evidence verification. Records facts only; it does not suggest fixes.
Navigate the Autodesk Platform Services (APS) documentation portal — find the right API docs, decode glossary terms, index table-of-contents JSON trees, extract content from static HTML pages, and build valid aps.autodesk.com portal links. Covers ACC, BIM 360, Model Derivative, Data Management, Viewer, Design Automation, Authentication, Webhooks, and all related APS APIs.
Adds and runs data quality checks (dbt-test style assertions) on a project's warehouse tables and saved-query views, and HogQL catalog metrics: not-null, uniqueness, accepted values, referential integrity, row-count bounds, freshness, and custom HogQL. Metrics support custom SQL checks only. Use when asked to test a model, validate a view, check for nulls or duplicates, add data quality checks, find out why a number looks wrong, or judge whether a warehouse table is trustworthy before using it in an analysis. To describe what data *means* (metrics, certifications, joins), see setting-up-data-catalog instead. Trigger terms: data quality, data test, dbt test, not null check, uniqueness check, freshness check, referential integrity, row count check, validate model, is this table trustworthy.
One-time installer that makes a Claude Code project keep its Internet Computer skills up to date automatically. Sets up a SessionStart hook plus a sync script so .claude/skills/ always mirrors the latest skills published at skills.internetcomputer.org. Use when a user wants to install, bootstrap, or enable "always-latest" Internet Computer / IC / ICP / Motoko skills in a project, or pastes the link to this skill. This is a one-time setup action, not ongoing IC knowledge — after it runs, the installed hook keeps skills current on every session. Do NOT use for IC coding questions themselves — this only configures auto-updating skills.
Use when working with Bagisto's EAV attribute system — adding or changing an attribute, attribute family or group, reading or writing a product attribute value, or debugging a value that reads back empty or from the wrong locale or channel. Trigger phrases include "attribute", "EAV", "attribute family", "attribute group", "attribute option", "custom attribute", "value_per_locale", "value_per_channel", "product_flat", "swatch".
Baidu Drive file management — upload, download, save to drive, share, search, move, copy, rename, and create folders. TRIGGER: The user mentions “百度网盘/bdpan/网盘/云盘/baidu drive/Baidu Drive” and requests file operations. DO NOT TRIGGER: Non-file-storage operations, or when using other cloud drive services.
This skill should be used when the user asks to "translate", "翻译", "精翻", "translate article", "translate to Chinese", "translate to English", "改成中文", "改成英文", "convert to Chinese", "localize", "本地化", "refined translation", "精细翻译", "proofread translation", "快速翻译", "快翻", "这篇文章翻译一下", or provides a URL/file with translation intent. Supports three modes (quick/normal/refined) with custom glossary support.
Convert EPUB books to high-quality formatted Markdown using pandoc and AI-assisted formatting. Use when the user provides an EPUB file path and wants to convert it to professionally formatted Markdown, similar to the Clean Code Collection formatting. This skill handles the complete workflow from EPUB extraction through AI-driven content formatting, including fixing PDF conversion artifacts, joining split paragraphs, correcting code blocks, standardizing headers, and creating a proper table of contents.
4-tier progressive web scraping that auto-escalates WebFetch to curl to Interceptor to Bright Data proxy for bot detection and CAPTCHAs, with single-URL and multi-page crawl modes, output as markdown. USE WHEN Bright Data, scrape URL, web scraping, bot detection, crawl site, CAPTCHA, can't access, site blocking, extract page content, scrape whole site, spider domain, convert URL to markdown, getting blocked. NOT FOR simple public content (use WebFetch directly), social platform scraping with named actors (use Apify), or real-Chrome bot bypass with logged-in sessions and zero CDP fingerprint (use Interceptor).
Load this skill whenever you are filing, reviewing, or generating accessibility bug reports — whether from automated tool output, manual testing, user reports, or testing with disabled people. The purpose of this skill is to make accessibility findings easier to report accurately, connect them to real people and tasks, and let developers reproduce, understand, and fix them without unnecessary back-and-forth. Absolutely always describe the barrier and its task impact before citing a WCAG criterion. Under no circumstances guess a disability diagnosis, treat automated tool output as a conformance conclusion, or expose secrets/personal data in a report.
Builds AI chat interfaces and conversational UI with streaming responses, context management, and multi-modal support. Use when creating ChatGPT-style interfaces, AI assistants, code copilots, or conversational agents. Handles streaming text, token limits, regeneration, feedback loops, tool usage visualization, and AI-specific error patterns. Provides battle-tested components from leading AI products with accessibility and performance built in.
Author the React + Quill implementation of a PostHog canvas: the single-component contract, the allowed imports, Quill (PostHog's design system) component and composition rules, theme-aware design tokens, loading skeletons, and the in-canvas date picker. Use after building-canvases has routed a canvas request to a React implementation — dashboards, data boards, forms, tools, or any canvas that should look native to PostHog.
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
Build multi-platform chat bots with Chat SDK (`chat` npm package). Use when developers want to (1) Build a Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, or WhatsApp bot, (2) Use Chat SDK to handle mentions, direct messages, subscribed threads, reactions, slash commands, cards, modals, files, or AI streaming, (3) Set up webhook routes or multi-adapter bots, (4) Send rich cards or streamed AI responses to chat platforms, (5) Build or maintain a custom adapter or state adapter. Triggers on "chat sdk", "chat bot", "slack bot", "teams bot", "google chat bot", "discord bot", "telegram bot", "whatsapp bot", "@chat-adapter", "@chat-adapter/state-", "custom adapter", "state adapter", "build adapter", and building bots that work across multiple chat platforms.
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.