Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
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Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Load when a story needs factual grounding the writer doesn't have: historical detail, cultural texture, domain accuracy, or how other authors handled similar material. Pass the question and story context; returns a sourced report the writer can draw from.
Debugs issues users encounter with Tuist-generated projects by reproducing the scenario locally, building Tuist from source when needed, and triaging whether it is a bug, misconfiguration, or something that needs team input. Use when users report generation failures, build errors after generation, or unexpected project behavior.
Design error responses. Covers when to use 404, 410, and 301; avoiding soft 404s; serving HTML, Markdown, or application/problem+json based on Accept; RFC 9457 Problem Details; caching policy; preventing internal information leaks; and verification with curl. Use when asked to implement, modify, or review 404 pages, error pages, Not Found, error handling, or API error responses.
Design and create a new hive task through guided conversation. Walks the user through problem definition, eval design, constraint specification, repo scaffolding, baseline testing with iteration, and upload. Use when user wants to create a new task, add a benchmark, or publish a challenge to the swarm.
Market anomaly scanner and price-by-volume distribution via Longbridge Securities — `anomaly` lists unusual price/volume movements across a market (HK / US / CN / SG) or for a specific symbol; `trade-stats` returns a single stock's intraday price-volume profile (where volume sat in the day's range). Read-only. Triggers: "异动", "今天哪些股票异动", "市场异动榜", "成交分布", "价格分布", "筹码分布", "今日筹码", "成交密集区", "盘中异动", "拉升", "跳水", "閃崩", "異動", "今天哪些股票異動", "市場異動榜", "成交分佈", "價格分佈", "籌碼分佈", "今日籌碼", "成交密集區", "盤中異動", "拉昇", "跳水", "anomaly", "unusual movements", "intraday alerts", "volume spike", "price spike", "price by volume", "trade distribution", "volume profile", "VWAP zone", "where the volume sat", "TSLA anomaly", "700.HK anomaly".
Smart-money and ownership-flow signals for a single stock via Longbridge Securities — SEC 13F institutional portfolios + position changes (US), funds and ETFs that hold the stock, SEC Form 4 insider trades (US-only), US short-interest history, and HK broker holdings (HK-only). Read-only. Markets vary by subcommand. Triggers: "13F", "机构持仓", "基金持仓", "ETF 持有", "持有这只股票的基金", "内部人交易", "高管买卖", "Form 4", "做空数据", "空头", "卖空", "经纪商持仓", "中央结算", "13F", "機構持倉", "基金持倉", "ETF 持有", "持有這隻股票的基金", "內部人交易", "高管買賣", "做空數據", "空頭", "賣空", "經紀商持倉", "中央結算", "13F holdings", "institutional holders", "fund holders", "ETF holders", "insider trades", "insider buying", "insider selling", "Form 4", "short interest", "days to cover", "short ratio", "broker holding", "CCASS", "AAPL insider sales", "TSLA short interest", "700.HK broker holding".
Run an end-to-end workflow that chains `research-refine` and `experiment-plan`. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to "串起来", build a pipeline, do it end-to-end, or generate both the method and experiment plan together.
Shiplight QA toolkit — the single entry point for all Shiplight test/QA work. Use ONLY when the user explicitly says 'shiplight' (e.g. 'write a shiplight test', 'use shiplight to verify X', 'shiplight cover') or invokes /shiplight. Routes to subcommands: init, setup-test-auth, update, create-yaml-tests, create-agent-verification, cover, fix, verify, review, ci, cloud, support, help.
CoinMarketCap Agent The CoinMarketCap Agent provides comprehensive access to real-time and historical cryptocurrency market data through CoinMarketCap's. Use this skill when the user needs CoinMarketCap Agent via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.
Draw a software architecture, system, data-model or call-flow diagram as D2 text laid out by TALA (D2's whiteboard-style engine, open source since D2 0.9), look at it in the terminal before anyone opens an image, and check that the picture says what it claims — `d2 --layout=tala x.d2 x.txt` renders the layout as Unicode box drawing, `--ascii-mode standard` as plain ASCII for a README, and `assets/d2-facts.mjs` reads the drawn boxes and arrows back out of the render and holds them to a fact sheet. Loop: write `.d2` → `d2 fmt --check` / `validate` → facts → terminal render → PNG → fix the text. Use when asked for a D2 diagram, an architecture diagram kept as editable text in the repo, a TALA layout, a diagram that shows in a terminal or a code block, or when the repo already has `.d2` files. Not for animations or figures with a moving walk (`explanatory-animation`, `explain-with-anim`).
Crawl an existing website (capped, multi-page) and seed stardust/current/ with PRODUCT.md, DESIGN.md, DESIGN.json, a per-page inventory, and the consolidated brand surface—the captured design system, palette, typography, motifs, and voice of the live site. Use when the user wants to analyze an existing site's design, extract or reverse-engineer its design system or brand, capture design tokens from a live site, import a website as the starting point for a redesign, capture the current state before a migration, or invokes `$stardust extract` (`/stardust:extract` in Claude Code). Trigger phrases include “analyze this site,” “extract the design tokens,” “capture the brand,” “crawl the site,” and “reverse engineer the design.” Not for scraping page data or content for its own sake (it captures design evidence, not datasets), and not for the redesign itself—extraction is descriptive; direction and prototyping happen downstream.
Expert patterns for combat systems including hitbox/hurtbox architecture, damage calculation (DamageData class), health components, combat state machines, combo systems, ability cooldowns, and damage popups. Use for action games, RPGs, or fighting games. Trigger keywords: Hitbox, Hurtbox, DamageData, HealthComponent, combat_state, combo_system, ability_cooldown, invincibility_frames, damage_popup.
Generates UML diagrams, architecture diagrams and flowcharts for any project. After analyzing the codebase, asks the user which diagram type to generate, renders it as HTML+SVG with the architecture-diagram skill, and saves it to the docs/ directory. Suitable for documentation visualization of any software project.
The Messari Tracker Agent serves as a direct bridge to Messari's institutional-grade data sources, allowing users to extract BTC and ETH data without. Use this skill when the user needs Messari BTC & ETH Tracker via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.
Optimize, rewrite, and craft image generation and editing prompts tailored specifically for Alibaba's Qwen-Image-2.1 diffusion model. Use this skill whenever the user wants to generate images with Qwen 2.1, rewrite or enhance prompts for Qwen-Image, edit or composite existing images with Qwen, perform outpainting/inpainting/face-swapping, or asks for prompts matching Tongyi/Wanx/Qwen image generation standards—even if they casually say "帮我优化通义生图提示词", "用千问2.1出图", or "Qwen改图".
Workflow 4: submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal within venue limits, and manages follow-up rounds. Use when the user says “rebuttal,” “reply to reviewers,” “ICML rebuttal,” “OpenReview response,” or wants to answer external reviews safely.
Use when turning a song into a kinetic-typography or motion-design music video, lyric video, visualizer or K-pop style MV with Scenario, landscape or vertical 9:16 for TikTok, Reels and Shorts: a generated subject sheet, style frames and footage, plus a deterministic JavaScript/three.js engine for lyric type, mattes and tracked graphics timed to sung onsets. Also for revising, recutting or cutting teasers from such a video.
Objective task quality evaluation framework using quantitative KPIs. KPIs are automatically calculated by a hook when task files are modified and saved to TASK-XXX--kpi.json. Use when: reading KPI data for task evaluation, understanding quality metrics, deciding whether to iterate or approve based on data.
WebAssembly runtime skill using wasmtime. Use when running WASM modules with wasmtime CLI, working with WASI preview2, using the component model, embedding wasmtime in Rust applications, limiting execution with fuel metering, or debugging WASM with DWARF in wasmtime. Activates on queries about wasmtime, WASI, WASM component model, wasmtime embedding, WIT interfaces, fuel metering, or server-side WebAssembly.
Create and manage Anki flashcards. Use when the user wants to create flashcards, add notes to Anki, manage decks, or work with spaced repetition learning. Also use when user mentions “anki”, “make cards”, “add to anki”, “learn this”, “memorize”, “remember this”, “SRS”, or asks to turn content into flashcards.
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says \"实现实验\", \"implement experiments\", \"bridge\", \"从计划到跑实验\", \"deploy the plan\", or has an experiment plan ready to execute.
Standard workflow from creating an Issue and branch through implementation, PR, and merge, plus Git / GitHub conventions. Covers type(scope) commit messages, choosing a scope, handling --author, checking author and committer addresses, prohibiting Co-Authored-By and git add ., squash merges by philtz-organizer-bot via the merge label, checking ahead/behind, and writing Issue comments and Releases. Use when committing, pushing, creating or switching branches, merging, rebasing, or creating Issues, PRs, comments, or Releases.
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.