Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Lobstr.io platform help — no-code web scraping platform with 50+ ready-made scrapers for Google Maps, LinkedIn Sales Navigator, Twitter, YouTube, and more. Features cookie-based login sync, scheduled automation, multi-threading, and a full API with Python SDK and MCP Server. Use when Lobstr scraper returning empty or incomplete results, exports to Google Sheets or S3 failing, scheduled scrapes not running, API or Python SDK throwing errors, or credits draining faster than expected. Do NOT use for general prospect list strategy (use /sales-prospect-list), cross-platform enrichment strategy (use /sales-enrich), or integration strategy (use /sales-integration).
Track how performance changes with data size, model size, batch size, or compute, fit a scaling law, and decide where more compute will actually pay off. Use when planning larger runs, deciding whether to scale data vs. model vs. optimization, estimating performance at a bigger budget, or judging whether a curve has hit diminishing returns. Trigger on "is it worth scaling this further", "fit a scaling law", "where are the diminishing returns", "how much better at 10x compute", "should I add data or parameters", or when the user has a set of runs at different scales and wants the trend extrapolated.
RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data. Complements Scanpy/scVI-tools for trajectory inference.
Designing search engines and vector DBs for full-text, vector, and hybrid retrieval, including permission-aware retrieval for multi-tenant or per-role corpora. Use for search design, index optimization, the RAG retrieval layer, or deciding where ACL filtering belongs in the query path.
Real-time sports & events data for AI agents via Shipp. Use when the user wants live scores, schedules, or game events for NBA, NFL, NCAA Football, MLB, or Soccer — especially to power prediction market trading strategies on Polymarket or Kalshi using a MoonPay wallet.
Turn Google Sheets into a powerful database and workflow engine using formulas, Apps Script, and integrations. Use when building systems in Sheets, automating data entry, creating dashboards, or replacing expensive tools with spreadsheet-based solutions. Covers advanced formulas, Apps Script basics, integration strategies, and real workflow examples. Trigger on "automate spreadsheet", "Google Sheets automation", "Apps Script", "spreadsheet workflow", "Sheets as database", "automate data entry".
Advanced SQL patterns including CTEs, window functions, recursive queries, query optimization, and EXPLAIN analysis. Use for complex query writing and performance tuning. USE WHEN: user mentions "CTE", "window functions", "recursive queries", "EXPLAIN", "query optimization", "ROW_NUMBER", "RANK", "PARTITION BY", "running totals" DO NOT USE FOR: basic SQL - use `sql-fundamentals` instead, database-specific features - use `postgresql`, `mysql`, or `sqlserver` instead
This skill should be used when user asks to "query Supabase", "list Supabase tables", "get Supabase schema", "search Supabase records", "check Supabase database", "Supabase auth", "Supabase authentication", "RLS policy", "row level security", "Supabase foreign key", "table relationships", "Supabase join", "Supabase filter", "Supabase pagination", or needs guidance on Supabase database patterns, auth flows, RLS policies, or query best practices.
Tabular review — one row per document, one column per data point, every cell citing its source. Built for M&A diligence ("review these 200 target contracts for change-of-control, assignment and MAC clauses"), but works for any bulk review that needs to produce a spreadsheet. Use when the user says "tabular review", "review grid", "build a grid", "extract these fields from these contracts", "review these documents for X, Y, Z", "give me a spreadsheet of...", "bulk review", or points at a folder and asks for a comparison.
Diagnose unstable or underperforming training runs from logs, curves, configs, and samples. Use when a run diverges, plateaus, collapses, overfits, underfits, behaves strangely, or needs debugging across optimization, regularization, and data pathologies.
Vercel KV, the Redis-compatible key-value store powered by Upstash, in Next.js and other Vercel applications. Covers @vercel/kv setup and environment variables (KV_REST_API_URL, KV_REST_API_TOKEN), key and JSON value operations, TTL and expiration, caching patterns for pages, APIs, and data, session and auth token storage, rate limiting, TypeScript usage from the edge runtime, serverless functions, and Server Actions, plus migrating from Cloudflare KV. Use when adding Vercel KV to an app, building a cache or rate limiter, storing sessions or temporary data with a TTL, choosing strongly consistent Redis-compatible storage over eventually consistent alternatives, or debugging KV_REST_API_URL not set, rate limit exceeded, or JSON serialization errors.
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
Design multi-objective e-commerce product ranking combining relevance, conversion, and business metrics. Use this skill when the user needs to build a product ranking system beyond text relevance, balance relevance with commercial objectives, or implement learning-to-rank — even if they say 'product sorting', 'search result ranking', or 'how to rank products'.
Implement LDA topic modeling to discover latent topics in document collections. Use this skill when the user needs to extract topics from a text corpus, categorize documents by theme, or explore thematic structure — even if they say 'what are the main topics', 'topic extraction', or 'document clustering by theme'.
Implement TrueSkill rating system for multiplayer and team-based competitive ranking. Use this skill when the user needs to rate players in team games, handle multiplayer (non-1v1) matchups, or build a matchmaking system with uncertainty tracking — even if they say 'team rating system', 'multiplayer ranking', or 'matchmaking rating'.
Apply Benford's Law to detect anomalies in numerical datasets by analyzing first-digit frequency distributions. Use this skill when the user needs to audit financial data for fraud indicators, validate data integrity, or detect fabricated numbers — even if they say 'data manipulation detection', 'first digit test', or 'accounting fraud screening'.
Calculate Value at Risk to estimate maximum portfolio loss at a given confidence level. Use this skill when the user needs to quantify downside risk, set risk limits, or report regulatory risk measures — even if they say 'worst case loss', 'portfolio risk', or 'how much could we lose'.
Stock market data query skill for China A-shares, Hong Kong, and US markets. Uses Tencent Finance HTTP API by default (lightweight, no install needed), with optional adata SDK for more comprehensive data. Supports real-time quotes, K-line history, order book analysis, and more.
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.
Software development engine for coding. A production-grade skills system for web apps and mobile architecture, APIs, databases, web, mobile, AI, security, UX, SaaS, and ERP engineering. Encodes reusable engineering judgment through layered baseline and specialist skills to help generate secure, scalable, maintainable, high-performance software systems
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
bclearer pipeline implementation skill. Extends ob-engineer with bclearer-specific pipeline code conventions, interop usage patterns, and orchestration wiring. Use when: implementing a bclearer pipeline from an approved architecture design, reviewing bclearer pipeline code for convention compliance, or adding stages to an existing pipeline. Delegates BIE domain implementation to bie-data-engineer.
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
Apply DuPont Analysis to decompose Return on Equity (ROE) into profitability, efficiency, and leverage components. Use this skill when the user needs to diagnose why ROE is high or low, compare financial performance drivers across companies, or identify which operational lever to pull — even if they say 'why is our ROE declining' or 'how do we improve returns'.
Bulk engineering approaches, tools, and implementation strategies for mass-generating PLC/DCS control logic, HMI displays, and I/O configurations from engineering databases. Use when planning or implementing automation of DCS engineering workflows.
For each spending category, computes current-period spend, 6-month rolling average, year-over-year delta, and budget variance, then flags categories that are outliers (>1.5x rolling average or >130% of budget). Produces a ranked list of categories that grew, shrank, or stayed flat, plus the top transactions driving each outlier. Use for monthly spending reviews, identifying lifestyle creep, evaluating budget adherence, or when user mentions category trends, spending changes, budget variance, or outlier spend.
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.
Evaluating and implementing cookie-less tracking alternatives for a post-cookie era. Covers the Privacy Sandbox APIs (Topics, Attribution Reporting, Protected Audiences), server-side analytics, and privacy-preserving measurement techniques.
Builds comprehensive data inventory per GDPR Art. 30 Records of Processing Activities. Covers system-by-system discovery, data flow diagramming, third-party identification, and legal basis per category. Keywords: data inventory, data mapping, Art 30, RoPA, data flow, processing activities.
Database performance optimization for MongoDB, PostgreSQL, MySQL, Redis, and ORMs like Prisma and Mongoose. Covers indexes, query patterns, pagination, caching, connection pooling, migration safety, and scaling. Use when optimizing slow queries, designing indexes, reviewing database performance, or improving database scalability.
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: 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.
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.