Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
Enforce testing best practices when writing, reviewing, or improving tests. Covers TDD/red-green-refactor, property-based testing, real objects over mocks, correctness by construction, assertion quality, E2E/contract tests, flaky-test upgrades, mock-reality drift, mutation-style gap analysis, and sabotaged/skipped/weak tests. Use when writing tests, reviewing test quality, fixing flaky tests, improving coverage quality, or when the user mentions TDD, testing, coverage, mocks, invariants, types vs tests, defense in depth, fuzzing, generative testing, or test quality.
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
Expert in threat modeling methodologies, security architecture review, and risk assessment. Masters STRIDE, PASTA, attack trees, and security requirement extraction. Use for security architecture reviews, threat identification, and secure-by-design planning.
Particle cloud Three.js (THREE.Points + BufferGeometry) converging from random positions into an image/logo as the page scrolls — sample pixels from a hidden canvas as target coordinates, lerp position on scroll. Invoke when the user says "particle image", "hạt hội tụ thành ảnh", "three.js particle scroll", "point cloud morph", "particle cloud biến hình theo scroll", or /threejs-particle-morph. DIFFERENT from `skills/blur` (that is a GLSL radial-blur shader transforming one image into another on a plane — this is a discrete particle cloud morphing into an image, a completely different rendering technique — PointsMaterial/BufferGeometry, not ShaderMaterial on PlaneGeometry).
Manage Toggl Track time entries, projects, tags, clients, tasks, workspaces, and organizations via the `toggl` CLI. Features HTTP response caching for improved performance and reduced API calls. Use for time-tracking requests like start/stop/continue/list/edit/delete, profile/preferences, and resource management, even when the user does not explicitly mention Toggl.
Analyze incidents in Alert stage and suggest severity, business impact, affected services, communications, and response team. Use when triaging incidents, evaluating incident severity, or when the user asks to analyze incident impact.
Assess one specified GitHub issue for implementation readiness, ask blocking questions, and update it after approval. Use when the user asks to triage an issue or get it ready for implementation. For a quick judgment of whether it is worth doing, use `valid-issue`.
Use this skill when the task involves creating, reviewing, or refactoring installable skills, shared skill references, or reusable agent-authoring guidance; when the work depends on routing-quality descriptions, non-use boundaries, naming, progressive disclosure, or cross-skill authoring conventions; or when you want to normalize skill and guidance structure without turning the task into a full customization-builder workflow. Do not use it for end-to-end customization generation, normal code implementation, or general repository planning.
Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
When a bug involves a named third-party library/framework, or symptoms correlate strongly with a platform/library-specific behavior, evaluate 'upgrade the dependency' BEFORE piling on local workarounds. Walks through a 4-step decision (is it upstream? → check Changelog/Release Notes → upgrade at low semver risk → only workaround if upgrade is infeasible), the upgrade engineering discipline (package-manager consistency, post-upgrade verification chain, semver risk, dedup check), and a result table. Use this skill whenever a bug smells like an upstream library issue — symptoms tied to a specific framework version, silent failures where code looks correct, workarounds that keep growing, or platform-specific rendering bugs that CSS cannot fix. Triggers — 「升级依赖」「依赖升级修复」「这个 bug 升级依赖能解决吗」「查 changelog 修复」「优先升级依赖」「升级依赖还是堆 workaround」 / dependency upgrade, upgrade to fix bug, changelog fix, avoid workaround, upgrade library to fix.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Spatial data gridding and interpolation with a machine-learning style API. Process geographic and Cartesian point data onto regular grids. Use when the agent needs to: (1) Grid scattered spatial data onto regular grids, (2) Interpolate point data using splines, linear, or cubic methods, (3) Process geographic coordinates with projections, (4) Reduce large datasets using block averaging, (5) Remove polynomial trends from spatial data, (6) Cross-validate gridding parameters, (7) Create processing pipelines with Chain, (8) Grid vector data like GPS velocities.
Analyzes local MP4 video files using the Gemini API and generates structured Markdown summaries. Supports custom prompts to extract specific information instead of the default summary. Use when the user wants to summarize, analyze, or extract key points from video files in bulk. Triggers on requests like "summarize my videos", "create markdown summaries for the videos", "analyze videos with Gemini", "generate video summaries", or "extract X from my videos". Requires GEMINI_API_KEY environment variable set in the system.
Generate high-potential viral title candidates for content across WeChat public account articles, X/Twitter posts, YouTube videos, Bilibili videos, and similar content platforms. Use when the user needs headline/title ideation, batch title generation, platform-specific title adaptation, title-library reuse, title selection, title scoring, or a reusable title workflow based on universal formulas plus separated platform methods such as 公众号, X, YouTube, and B站.
Use when operating Volcengine TLS (日志服务) through volclog in agent or CI sessions and you need a contract-first workflow for runtime selector resolution, discover/describe/exec routing, App resource or Topic resolution, envelope reading, large-result delivery, and error recovery without guessing commands, fields, or shortcut flows. Use when the user mentions Volcengine's TLS logging service, volclog, log search, analysis, import or export, or operations involving log projects or topics.
Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Use when users need icons, favicons, social sharing images, or Open Graph images from logos or text slogans. Handles image resizing, text-to-image generation, and provides proper HTML meta tags
Extract, create, or refine an implementation-ready design system for a website or web app. Use when an agent needs semantic tokens, component anatomy, variants, interaction states, responsive rules, accessibility defaults, or consistency improvements grounded in an existing frontend codebase.
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
Use when a 3D asset must fit a web scene budget: sourcing, glTF pipeline (KTX2, meshopt, Draco), colour spaces, licences. NOT for scene code (web3d-runtime), motion (web3d-animation) or Quest store assets (xr-dev). Opt out: no web3d, без web3d. Triggers - "compress this GLB" / "сожми 3D-модель".
Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like "what if...", "what would happen if...", "what are the possibilities", "explore scenarios", "scenario analysis", "possibility space", "what could go wrong", "best case / worst case", "risk analysis", "contingency planning", "strategic options", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.
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.