Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Apply a brand's defined visual system to a real, conversion-focused website — designing and building it in custom code, with real copy given its proper emphasis. Use when the user mentions 'website design,' 'design my site,' 'build a landing page,' 'homepage,' 'marketing site,' 'product page,' 'pricing page,' 'redesign our website,' 'hero section,' or wants to ship a site. This is where the approved identity becomes a live, shipped surface — not a mockup, working code.
Use when the user explicitly requests award-winning, creative, or designer-quality web design. Activated by invoking the skill directly -- NOT auto-triggered on general frontend tasks. Use when the user says "use web-designer", "design mode", "make it look amazing", "designer quality", or references this plugin by name.
A structured workflow for writing technical articles for WeChat Official Accounts. Use when the user wants to write an article for the account, needs to create an article directory, organize material, or iterate on drafts. The naming conventions and directory structure in blogs/wechat/README.md are mandatory.
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
Build iOS/macOS/watchOS/visionOS widgets, Live Activities, watch complications, and controls using Apple's WidgetKit framework. Use when creating widget extensions, timeline providers, configurable widgets, Lock Screen widgets, Smart Stack widgets, Live Activities with ActivityKit, interactive widgets with buttons/toggles, or watch complications. Covers all widget families (systemSmall/Medium/Large/ExtraLarge, accessoryCircular/Rectangular/Inline/Corner) and rendering modes.
Use this skill when the user asks to “analyze network traffic with Wireshark,” “capture packets for troubleshooting,” “filter PCAP files,” “follow TCP/UDP streams,” “detect network anomalies,” “investigate suspicious traffic,” or “perform protocol analysis.” It provides comprehensive techniques for network packet capture, filtering, and analysis using Wireshark.
Drive WordPress from the command line via `wp` CLI — site migrations, search-replace, bulk plugin/theme/user/post operations, option and config edits, multisite management, and cron scheduling. Use whenever the user wants to do something to a WordPress site that a terminal can reach faster than wp-admin.
Draft new or updated Supabase docs content for a feature or launch, grounded in product intent (Linear when available), a read of the actual code, and the docs style guide. Use when asked to write docs for a new feature, a product launch, or a Linear ticket that needs net-new content rather than a bug fix. Not for implementing existing docs bug reports — use work-linear-issue for that. Not for restructuring existing pages — use edit-the-docs for that.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Corrects the wrong defaults a capable model has when building Yjs collaborative editing into a Next.js 16 App Router app with tRPC v11 and shadcn/ui — pinned to Yjs 13.6.31. Covers the decisions whose failure mode is silence rather than an error — plain objects in a Y.Map discarding concurrent edits, updates that vanish because a JSON boundary turned a Uint8Array into a number array, undo that reverts a colleague's paragraph, initial content seeded once per client, and carets thrown to the end of a shadcn Input on every remote keystroke. Also covers where the sync loop can actually run, since route handlers cannot upgrade, Vercel Functions have no instance affinity, and tRPC subscriptions are one-way — plus which packages have already moved to the Yjs 14 prerelease track. Use when writing, reviewing, or debugging collaborative editing, presence, offline sync, or CRDT persistence in this stack.
Design, critique, and test YouTube video thumbnails and preview cards for stronger, better-qualified clicks. Use when developing thumbnail concepts, pairing a thumbnail with a title, directing image creation, checking small-screen legibility, preparing a YouTube experiment, or diagnosing thumbnail performance. Do not use for general video editing, channel strategy, or artwork for another platform.
Manage and troubleshoot PATH configuration in zsh. Use when adding tools to PATH (bun, nvm, Python venv, cargo, go), diagnosing "command not found" errors, validating PATH entries, or organizing shell configuration in .zshrc and .zshrc.local files.
Refine academic writing for computer science research papers targeting top-tier venues (NeurIPS, ICLR, ICML, AAAI, IJCAI, ACL, EMNLP, NAACL, CVPR, WWW, KDD, SIGIR, CIKM, and similar). Use this skill whenever a user asks to improve, polish, refine, edit, or proofread academic or research writing — including paper drafts, abstracts, introductions, related work sections, methodology descriptions, experiment write-ups, or conclusion sections. Also trigger when users paste LaTeX content and ask for writing help, mention "camera-ready", "rebuttal", "paper revision", or reference any academic venue or conference. This skill handles both full paper refinement and section-by-section editing.
Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads accounts. Generates health score per platform and aggregate score. Use when user says audit, full ad check, analyze my ads, account health check, or PPC audit.
AI image generation for paid ad creatives. Reads campaign-brief.md and brand-profile.json to produce platform-sized ad images using banana-claude. Requires banana-claude (v1.4.1+) with nanobanana-mcp configured. Triggers on: generate ads, create images, make ad creatives, generate visuals, create ad images, generate campaign images, make the images, generate from brief.
PPC financial calculator and modeling tool. CPA, ROAS, CPL calculations, break-even analysis, impression share opportunity sizing, budget forecasting, LTV:CAC ratio analysis, and MER (Marketing Efficiency Ratio) assessment. Requires zero API access. Works with pasted data from exports. Use when user says PPC math, ad calculator, break-even, budget forecast, ROAS calculator, CPA calculator, impression share, LTV CAC, or MER.
Use this skill when you need a complete developer-ready design specification for a named aesthetic: W3C DTCG design tokens, CSS custom properties, cultural marker lists, component-level notes, and accessibility flags. Translates aesthetic understanding into implementable values across all 7 dimensions. Use when the user asks to 'make it look like X', requests design tokens or CSS variables, or needs a developer handoff spec grounded in an aesthetic. Depends on aesthetic-literacy. Do not use before an aesthetic is confirmed; do not use for accessibility resolution or component architecture.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to “open a website”, “fill out a form”, “click a button”, “take a screenshot”, “scrape data from a page”, “test this web app”, “login to a site”, “automate browser actions”, or any task requiring programmatic web interaction.
Guide for coordinating multiple Claude Code instances as a team using Agent Teams. Covers TeammateTool operations, spawn backends, communication, task coordination, hooks, and orchestration patterns. Use when building multi-agent workflows requiring inter-agent communication.
Analyze repository structure and generate or update standardized AGENTS.md files that serve as contributor guides for AI agents. Supports both single-repo and monorepo structures. Measures LOC to determine character limits and produces structured documents covering overview, optional ownership maps, patterns, conventions, and working agreements. Update mode refreshes only standard sections while preserving user-defined custom sections. Existing unmarked files require a concrete change preview and one-time user confirmation before adoption; heading matches alone never authorize rewriting. Use when the user wants an AGENTS.md generated or refreshed — setting one up for a new repository, onboarding AI agents to an existing codebase, updating an existing AGENTS.md after meaningful project changes, or when the user mentions AGENTS.md. Not for CLAUDE.md, README, or other documentation files.
Build LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Agent class, function tools, STT/LLM/TTS models, turn detection, and multi-agent workflows.
Query the Ensembl genome database REST API across 250+ species for gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, and Variant Effect Predictor (VEP) annotations. Use when mapping gene IDs or coordinates, fetching genomic sequence, finding orthologs across species, or predicting variant consequences for genomic research. Part of the AlterLab Academic Skills suite.
Runs computational fluid dynamics simulations with the FluidSim Python framework using pseudospectral FFT methods, with HPC support and output analysis. Use when simulating Navier-Stokes equations (2D/3D), shallow water equations, or stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Part of the AlterLab Academic Skills suite.
Machine learning on genomic interval data (BED files) with the geniml Python package — region embeddings (Region2Vec), joint region+metadata embeddings (BEDspace/StarSpace), single-cell ATAC-seq embeddings (scEmbed), consensus peak sets / universes (build-universe), tokenization, BEDshift randomization, and BBClient/BEDbase caching. Use when training or using region/cell embeddings, clustering scATAC-seq, building a tokenization universe from BED collections, or any ML/feature-learning task over genomic regions. NOT for plain interval arithmetic (overlap/intersect/merge counts) — that is gtars, not geniml. Part of the AlterLab Academic Skills suite.
Reads, writes, and analyzes geospatial vector data with the GeoPandas Python library (shapefiles, GeoJSON, GeoPackage), with PostGIS support and integration with matplotlib, folium, and cartopy. Use for spatial analysis and geometric operations — buffer analysis, spatial joins and overlays between datasets, dissolving boundaries, clipping, calculating areas and distances, reprojecting coordinate systems, choropleth mapping, or converting between vector file formats. This is for tabular vector data; for raster/satellite/DEM work, spectral indices (NDVI), or spatial ML on earth observation prefer the geomaster skill. Part of the AlterLab Academic Skills suite.
Submits and manages protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs), covering protocol selection, input preparation, pricing, and ordering workflows. Use when running cell-free protein expression (validation or optimization), generating fluorescent pixel art, or interacting with Ginkgo Cloud Lab services. Part of the AlterLab Academic Skills suite.
Query gnomAD (Genome Aggregation Database) for population allele frequencies and gene constraint scores (pLI, LOEUF) reflecting loss-of-function intolerance. Use when checking how common a variant is across populations, filtering rare-disease candidate variants, assessing variant pathogenicity, or identifying loss-of-function intolerant genes. Part of the AlterLab Academic Skills suite.
Runs high-performance genomic interval analysis with gtars (databio), a Rust toolkit with Python bindings — the performance-critical backend for the geniml ML library. Use when computing overlaps/jaccard/coverage between BED region sets, indexing intervals with IGD, generating uniwig accumulation/coverage tracks, tokenizing genomic regions for ML, splitting single-cell fragments into pseudobulks, or computing GA4GH refget sequence digests. NOT for training region embeddings (use alterlab-geniml) or non-genomic spatial joins (use alterlab-geopandas). Part of the AlterLab Academic Skills suite.
Query the GTEx (Genotype-Tissue Expression) portal v2 REST API for tissue-specific gene expression (median TPM across 54 human tissues), expression QTLs (eQTLs), and splicing QTLs (sQTLs). Use when checking which tissues express a gene, finding which gene a non-coding/GWAS variant regulates via eQTLs, or interpreting variant regulatory effects across tissues. NOT for curated trait-variant associations (use alterlab-gwas), population allele frequencies or variant constraint (use alterlab-gnomad), or gene/transcript structure and ID mapping (use alterlab-ensembl). Part of the AlterLab Academic Skills suite.
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.