Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Constructive, evidence-based dialogue mode that avoids sycophancy. This skill should be used when the user wants balanced multi-perspective analysis, critical feedback, or rigorous challenge of their ideas. Triggers on "/balanced" or requests for honest/critical/balanced feedback. Supports full, interactive, tldr, steelman, decision, and sketch modes.
Installs 425 bioinformatics skills covering sequence analysis, RNA-seq, single-cell, variant calling, metagenomics, structural biology, and 56 more categories. Use when setting up bioinformatics capabilities or when a bioinformatics task requires specialized skills not yet installed.
Video in Blender 5.2 - Video Sequencer edits from Python (clips, image sequences, crossfades, titles, music fades, proxies, color management, H.264/AAC output) and motion tracking (feature detection, camera solve, scene orientation, tripod and plane tracking, stabilization) for VFX shots. Use to cut renders/footage together or match-move a camera.
Use this skill when the user asks to "intercept HTTP traffic", "modify web requests", "use Burp Suite for testing", "perform web vulnerability scanning", "test with Burp Repeater", "analyze HTTP history", or "configure proxy for web testing". It provides comprehensive guidance for using Burp Suite's core features for web application security testing.
Use when the user wants to run SQL—especially analytical SQL—on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) without setting up a server. Provides chDB—embedded ClickHouse SQL in Python with 1000+ functions, Session for stateful multi-step pipelines, parametrized queries, and cross-source joins via `s3()`, `mysql()`, `postgresql()`, `iceberg()`, `deltaLake()`, `remoteSecure()` table functions. TRIGGER when: the user wants SQL on parquet/csv/files or across remote analytical sources; uses ClickHouse SQL features (window functions, windowFunnel, geoToH3, JSON path ops, Session, parametrized queries); imports `chdb` or calls `chdb.query()`. SKIP this skill for pandas-style DataFrame method-chaining (use chdb-datastore instead) or ClickHouse server administration
Find compelling moments in a video — funny dialogue OR repeated impact actions like axe chops, hits, throws, drumbeats — cut them as standalone clips, optionally reformat 16:9 ↔ 9:16, time-warp pans for tighter reveals, and burn opus-style word-by-word captions. Use when the user mentions "clipify," "cut clips from this video," "make shorts from this," "find funny moments," "action montage," "cut on each chop/hit/punch," "reframe to 9:16," "vertical clips," or pastes a video file path and wants social-ready cuts.
CloudBase CLI (tcb, 云开发CLI, Tencent CloudBase命令行) resource management skill. Use when deploying cloud functions, CloudRun, storage, NoSQL/MySQL, static hosting, permissions, CORS/domains via tcb; for CI/CD and batch ops; when the user prefers CLI; or as the first-session fallback when CloudBase MCP tools are not loaded yet (after install/config, before IDE restart). Also covers tcb login and site switching (国内站/国际站 via --intl or config isIntl), environment lifecycle (env create/modify/renew/delete/apikey/login/domain), tcb config and cloudbaserc.json sync, log search (logs search, CLS), metric monitoring (monitor), data model and PostgreSQL migrations (db model, db pg migration), sandbox/agent/integration management — do not default to tcb deploy.
Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-specific best practices.
Analyze your competitive landscape using Porter's Five Forces and modern frameworks—understand industry dynamics, identify strategic opportunities, and position your business for sustainable advantage. Use when: **Evaluate an industry** before entering or investing; **Understand competitive dynamics** in your market; **Identify strategic opportunities** based on industry structure; **Assess threats** from competitors, new entrants, or substitutes; **Develop positioning strategy** relative to ...
A Ctrip flight search skill based on browser automation tools. Supports one-way and round-trip flight searches, handles inputs such as origin, destination, and dates, and includes error recovery. For searching flight information, prices, and schedules on Ctrip.
Validate DESIGN.md files against the official Google specification using the `@google/design.md` CLI linter. Works with local files. Use when the user wants to lint a DESIGN.md, check spec compliance, find broken token references, verify WCAG contrast ratios, diff two versions, export tokens to Tailwind or DTCG format, or audit a design system file for structural correctness. Trigger on mentions of "validate DESIGN.md", "lint DESIGN.md", "check my design.md", "design.md spec compliance", "WCAG contrast check", "broken token references", "design token validation", "export design tokens", "diff design systems", "design.md audit", "@google/design.md", "npx design.md lint", "design system validation", "frontmatter tokens", or any request to verify a DESIGN.md file
Produce honest product reviews and buying guides without fabricated first-hand experience, using disclosed evidence tiers: verified specs, owner-experience synthesis at scale, expert triangulation, and hands-on only when true. Use this skill whenever the user wants to write product reviews or buying guides without hands-on access, set up a review methodology, add evidence disclosure to review content, align reviews with Google's reviews system or FTC affiliate disclosure expectations, or decide when Review and Product schema are honest to use. Triggers on product review, buying guide, best-of list, review methodology, evidence basis, hands-on testing, we tested, affiliate review site, review disclosure, methodology block, original research, reviews system. Also triggers when review content claims testing that did not happen, or when an affiliate site needs a trust mechanism that survives scrutiny.
Investigates distributed application performance using PostHog APM (OpenTelemetry span) data via MCP. Use when the user asks about service traces, slow HTTP/database spans, error spans, error-rate trends or spikes, latency distributions, trace IDs, or span attributes — not AI observability traces or product logs. Uses posthog:apm-service-health, posthog:query-apm-spans, posthog:apm-trace-get, posthog:apm-spans-sparkline, posthog:apm-services-list, posthog:apm-attributes-list, and posthog:apm-attribute-values-list.
Expert blueprint for party games including minigame resource system (define via .tres files), local multiplayer input (4-player controller management), asymmetric gameplay (1v3 balance), scene management (clean minigame loading/unloading), persistent scoring (track wins across rounds), and split-screen rendering (SubViewport per player). Use for Mario Party-style games or WarioWare collections. Trigger keywords: party_game, minigame_collection, local_multiplayer, asymmetric_gameplay, split_screen, dynamic_input_mapping.
Convert natural language questions into safe executable SQL to query Ascend PyTorch Profiler / msprof database for operator time consumption, communication, dispatch, and other performance data. Supports table schema extraction from official documentation. Use this skill when the user wants to: (1) analyze Ascend profiling database, (2) query operator performance data, (3) analyze communication and dispatch bottlenecks, (4) check table schema for profiling data. Trigger: user mentions "profiler db", "sqlite", "sql", "table", "schema", "ascend-pytorch-profiler", "msprof", "operator time", "communication time", "dispatch analysis", "性能分析", "算子耗时", "数据库查询", "性能数据", "性能瓶颈"
Learn new topics, create study plans, organize notes, review lessons, get project coaching, check mastery, and generate project briefs. Chinese-language mentor and project coach using project-based learning and Mastery Learning. Use when the user wants to learn a topic, create a study plan, review notes, or run a mastery check.
AI video generation tool (single-image or first-and-last-frame mode). Generate videos from an original image and prompt, with support for the video models enabled in the configuration. Trigger when the user says “生成视频”, “AI视频”, “图生视频”, “做个视频”, “video generation”, “generate video”, “图片转视频”, or “动态视频”.
Amazon reverse product selection: an indicator data pool compiled from historical business insights reports. Reverse-screen Amazon niches and keywords across 30+ business dimensions, including market size and growth, price ranges and tier shares, competition density and top-player concentration, audience profiles such as age, gender, and income, and review selling points and pain points. Trigger this skill when users mention reverse product selection, metric-based filtering, niche-market lookup, blue-ocean niche discovery, low-competition niches, beginner-friendly niches, fragmented-brand markets, pain-point entry points, selling-point lookup, pricing-tier opportunities, audience-profile-based product selection, Amazon niche reverse search, niche metrics filter, low-competition niche, blue ocean niche, demographic-based selection, pain-point niche, price tier opportunity, sweet spot pricing, or brand fragmentation. Even if the user does not explicitly say “reverse product selection,” trigger this skill whenever they want to filter Amazon niches based on business criteria.
Runs systematic literature reviews by searching PubMed, arXiv, bioRxiv, and Semantic Scholar (plus web search via parallel-cli), screening studies, extracting data, synthesizing themes, and verifying citations with verify_citations.py. Produces a markdown and PDF review with a PRISMA-style flow diagram and a bibliography in APA, Nature, or Vancouver style. Use when conducting a systematic or scoping review, synthesizing research on a topic, writing the literature review section of a paper or thesis, identifying research gaps, or checking citations in a review. Not for looking up a single paper or database record; use the specific database skill instead
Design enterprise-grade agent systems with Microsoft's agent framework patterns: role separation, workflow control, policy boundaries, and observability. Use when users need robust organizational agent workflows, governance, and maintainable multi-agent architecture.
NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprietary sequences. Run a complete protein structure prediction pipeline using NVIDIA BioNeMo NIMs: search for MSA alignments with MSA-Search (ColabFold), then predict the structure with OpenFold3 using the retrieved alignments. Use this skill whenever the user wants to predict a protein structure with maximum accuracy using MSA context, run the full AlphaFold3-style pipeline, generate MSA-informed structure predictions, or improve structure prediction accuracy by providing evolutionary information. Triggers on: MSA structure prediction pipeline, structure prediction pipeline, MSA-informed prediction, OpenFold3, ColabFold MSA, AlphaFold3 pipeline, protein structure, homology search, a3m alignment, UniRef30, NIM microservice. This pipeline chains MSA-Search and OpenFold3.
Apply when implementing a VTEX Payment Provider Protocol connector for Point of Sale (POS) payments on VTEX Sales App. Covers Venda Direta Credito and Venda Direta Debito manifest methods, the two-phase Payment App challenge (terminal connector then wait-for-confirmation), null card data on Create Payment, asynchronous undefined status, timeout pairing of secondsWaiting and delayToCancel, and callback payloads with cardBrand, firstDigits, and lastDigits. Use for building or debugging PPP + POS integrations that charge a physical card on a payment terminal.
Add Polar billing to a TypeScript/JavaScript app using the @polar-sh/sdk package. Use this skill whenever the user wants to add a Checkout endpoint, Customer Portal endpoint, or Webhooks endpoint for Polar to any framework—Next.js, Express, Hono, Astro, SvelteKit, Remix, TanStack Start, Nuxt, Fastify, Elysia, Deno, Supabase Edge Functions, Cloudflare Workers, Bun, etc.
Use when the user needs help with pricing decisions, packaging, or monetization strategy. Applies when the user mentions “pricing,” “pricing model,” “pricing tiers,” “freemium,” “free trial,” “packaging,” “price increase,” “value metric,” “Van Westendorp,” “willingness to pay,” “monetization,” “pricing strategy,” “pricing experiments,” “price anchoring,” “enterprise pricing,” “GTM pricing,” “price setting,” “value-based pricing,” “revenue optimization,” or “pricing psychology.” This skill covers pricing research, tier structure, packaging strategy, discount frameworks, upsell mechanics, and pricing experiments.
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
Use when the user wants an AI interview to clarify experiences or unfinished thoughts, or to turn a completed interview record into a knowledge draft. Through continuous, non-leading interviews, it organizes unclear experiences, insights, expertise, and judgments into checkable, reusable knowledge. Always deliver the complete interview transcript and a coherent knowledge draft, with independently developable topics and material to explore listed separately at the end (topics are a by-product; standalone topic selection is not offered). Triggers: “interview me,” “help me talk through my ideas,” “help me clarify my experience,” /qws-interview, or “organize this interview record.” Do not use for transcription, standalone topic selection, or polishing an existing draft
A delivery workflow for repoctl release, pnpm change intent, and issues in the weapp-vite monorepo. Use for changes to `weapp-vite`, `wevu`, `@weapp-vite/react`, mpcore, templates, public skills, or AI contracts; determining change intent; `create-weapp-vite` coordination; cross-platform verification; and the complete delivery cycle from issue worktree to Chinese-language PR/CI.
Build structured semantic layer documentation for metrics, dimensions, and entities. Activate when you need to define a business metric, document a data model, or create YAML definitions compatible with dbt Semantic Layer or similar frameworks.
Optimize for search engine visibility and ranking. Use when asked to "improve SEO", "optimize for search", "fix meta tags", "add structured data", "sitemap optimization", or "search engine optimization". Do NOT use for accessibility (use web-accessibility), performance (use core-web-vitals), or comprehensive site audits covering multiple areas (use web-quality-audit).
Final pass before shipping a deck. Ensures speaker notes, metadata, sources, disclaimer, and consistent formatting are all in place. Use when the user says "polish the deck", "add speaker notes", "finalize the presentation", "make it ready to send", "check sources and footnotes", or the deck is content-complete but needs a finishing pass.
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.