Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
Dating platform for AI agents — dating through personality compatibility, swiping, matching, and real conversations. Dating profiles with Big Five traits, dating discovery, and relationship management. REST API. AI约会、智能配对、性格匹配。Citas para agentes IA, compatibilidad, relaciones.
Audit horizontal scaling topology — declarative partitioning fit for large/time-series tables, hot-partition / skewed partition-key risk, and premature sharding that adds complexity before it is justified. Module M16. Feeds the Performance & Scale score.
Managed-platform fitness (M21) — checks the project against the realities of its hosting platform (Supabase, Neon, PlanetScale, Turso, Cloudflare D1, CockroachDB, Yugabyte, DynamoDB, RDS/Aurora). Engine version currency (without fabricating EOL dates), honest pricing / vendor lock-in trade-offs, and per-platform feature support — most importantly foreign-key support (PlanetScale Vitess historically restricts FKs; D1/SQLite, serverless drivers, connection limits). Feeds the Design & Integrity AND Performance & Scale scores.
Query DDInter drug-drug interactions via REST API (1.7M+ interactions, 2,400+ drugs). Search by drug name/ID for severity (major/moderate/minor), mechanisms, and clinical recommendations. No auth. For FDA labeling use dailymed-database; for pharmacogenomics use clinpgx-database.
Comprehensive codebase reading engine. Systematically reads actual source code line by line through a 6-phase protocol — scoping, structural mapping, execution tracing, deep reading, pattern synthesis, and structured reporting. Source code is the source of truth. Use when needing to truly understand how code works, not just what documentation claims.
Deep research with hyperresearch, for Claude Code and OpenAI Codex. Use when the user asks for deep research, a research report, a literature review, or a multi-source analysis with verified citations. Checks that the hyperresearch CLI is installed, sets it up in the current project for the agent you are running in, then hands off to the hyperresearch pipeline (a tier-adaptive 16-step pipeline with a persistent source vault). Not for quick lookups one or two searches can answer.
Runs deepTools command-line programs on NGS alignment data: bamCoverage and bamCompare for BAM to bigWig/bedGraph with RPGC, CPM, RPKM or BPM normalization, multiBamSummary with plotCorrelation and plotPCA, plotFingerprint, computeMatrix with plotHeatmap and plotProfile, and alignmentSieve with --ATACshift. Use when converting BAM files to normalized coverage tracks. Use when checking ChIP-seq quality or comparing replicates. Use when plotting signal around TSS or peak regions. Use when comparing treatment versus control samples. Use when building ChIP-seq, RNA-seq or ATAC-seq coverage workflows. Not for peak calling or differential expression analysis.
Search and retrieve CSS components, SVG icons, design patterns, and visual inspiration from the web. Use when the user asks to find, look up, or search for CSS snippets, SVG icons, UI components, loading spinners, animations, design inspiration, or any visual/frontend design resource. Triggers on requests like "find me a CSS button", "look up an SVG spinner", "search for a card component", "find a wave divider SVG", or "get design inspiration for a dashboard".
Apply senior designer judgment to any frontend UI — React, HTML/CSS, Framer, or any web component. This skill is the result of hands-on research into what actually works and what doesn't when giving AI agents design judgment: not theoretical guidelines, but principles battle-tested through real projects and iteration on AI-generated output. Use it whenever the user is building, reviewing, or iterating on UI code and design quality matters. Triggers include: creating components or pages, reviewing existing UI, asking for design feedback, building dashboards or data displays, refining visual hierarchy, working on Framer components, or any task where the output includes rendered interface elements. Even if the user only asks to 'make it look better' or 'clean this up', use this skill — it contains the principles that separate intentional design from generated slop.
Removes the AI feel from Chinese web fiction. Use when the user says the text "sounds too AI-written / has translationese / is too neat / lacks a human touch / piles on parallelism / reads fake", objects to "gratuitous rhetoric", "oddly wide-ranging quotes / inconsistent register", "repetitive rhetorical phrasing", "tautology (he was very angry, he was furious)", "too many extreme words (very / extremely)", "puzzling declarative sentences", "periods used as enumeration commas", "paragraphs too parallel and identical in line count", or wants to make an AI draft read like a real person wrote it. Produces more colloquial, web-savvy web fiction prose with a consistent style.
Diagnose defects, risks, improvements and non-apparent runtime causes; seal findings and limitations into diagnosis.md. Use when a concrete problem or improvement opportunity needs its cause investigated from evidence before anyone decides a fix.
Distill a long book into a concise, structured set of learnings by processing it chapter by chapter with parallel subagents, then synthesizing the result -- optionally into a Claude Code skill. Works for any format the book comes in -- PDF, EPUB, Markdown, HTML, plain text. Use this skill whenever the user wants to summarize, distill, extract the core ideas from, or "turn into a skill" a book, ebook, manual, or other long-form document that is too large to read in one pass. Triggers include "distill this book", "summarize this book chapter by chapter", "extract the key principles from this PDF/ebook", "make a skill out of this book", or handing over a large multi-chapter document and asking what to learn from it.
Generates structured technical documentation including API docs (OpenAPI/Swagger), README files, user guides, developer guides, and changelogs. Use when the user needs to create or improve project documentation, generate API reference docs, write onboarding guides, or structure documentation for a codebase.
Guidelines for writing TUnit tests in .NET, including setup, assertions, async testing, and best practices. Use when writing unit tests with TUnit framework, setting up TUnit in a .NET project, or migrating from other test frameworks to TUnit.
Use this skill to draft or update the [Unreleased] section of CHANGELOG.md from the actual changes since the last tag. Run this at any point during development to keep a working copy of the release narrative. Does NOT bump versions or create tags.
Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
CodeStable is an AI coding workflow for serious software engineering that keeps humans in the loop. Rather than centering on Agent orchestration, it organizes requirements, architecture, features, issues, and historical decisions to make development driven by Codex and Claude controllable, traceable, and continuously evolvable.
End-to-end e-commerce product catalog generation — turn a folder of raw product photos into clean packshots, product cutouts, Amazon-style dimensions images, lifestyle scenes, and marketplace-ready listing variants for Amazon, Shopify, and Etsy. Powered by Bria.ai's product pipeline. Use when building a product catalog, batch-processing product photos, or creating packshots, cutouts, dimension images, lifestyle shots, or marketplace-compliant listing images at scale.
Workbench agent panel system — ef-edit CustomEvent pipeline, registry roll-up, selector grouping, and element property schema. Use when adding new GUI edit capture points, expanding the inspector schema, or continuing development of the EFAgentPanel feature.
Foundation for elite web design. Covers design philosophy, visual systems, and the design-to-code process. Use when asked about: premium website design, award-winning aesthetics, design systems, visual hierarchy, spacing, typography, color theory, data visualization, or "how to make this look professional". This skill provides the foundational thinking that informs all other elite-web-design skills. When loaded alongside animation skills (elite-gsap, elite-css-animations), provides the token foundation they reference.
Look up EMDB cryo-EM density maps and fitted atomic models via the entry REST API + EBI Search WS. Fetch entry metadata (resolution, method, organism, sample), map download URLs, fitted PDB IDs, and citations. Keyword search via EBI Search. No auth. For atomic coordinates use pdb-database; for AlphaFold predictions use alphafold-database-access.
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
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.