Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Library for bioinformatics and community ecology statistics. Provides data structures and algorithms for sequences, alignments, phylogenetics, and diversity analysis. Essential for microbiome research and ecological data science. Use for alpha/beta diversity metrics, ordination (PCoA), phylogenetic trees, sequence manipulation (DNA/RNA/Protein), distance matrices, PERMANOVA, and community ecology analysis.
This skill should be used whenever the user mentions a "semantic model", "data model", or "dataset", or asks to "build", "model", "design", "optimize", "review", or "audit" one, or to "add a measure", "add a relationship", "create a role" / "set up RLS", "add a calculation group", "set up incremental refresh", "fix a star schema", "reduce model size", "prepare a model for Copilot / AI", or "check model quality". Covers the full lifecycle (design, build, refresh, review) and drives every operation through the `te` CLI first, then TOM (connect-pbid) or a model MCP, then TMDL authoring (the tmdl skill). Not for report visuals (use pbir-cli) or isolated DAX query tuning (use the dax skill).
Signals scout for warehouse imports. Watches external data sources, sync schemas, webhook push channels, and materialized views for failures, silent staleness, and row-volume cliffs, and suggests materialization candidates from recurring query-log hot spots.
Signals scout for PostHog MCP tool calls. Watches `$mcp_tool_call` telemetry for tools that need improvement — broad-reach failure rates, retry hammering, slow or context-bloating responses — grouped by owning product category, each with a fix suggestion.
Pure-web protocol reverse skill: turn hostile browser clients into browser-free Python collectors. Auto-judge intake and tool path: artifact-only when samples suffice; fresh web live-target needs sequential fingerprint-baseline then debugger-trace (default chrome-devtools then js-reverse; if DP is already required js-reverse may own both roles on one host and must not launch a second Chrome; replay identity locks to installed curl impersonate; unknown risk-control does not bulk-add unproven extra routes; Camoufox/managed baseline only on fingerprint pressure; silent-value-capture is a first-class debugger-trace means when attach is missing or page-world capture is insufficient/observer-toxic). Continuation reuses the current gate. Route only mounted web MCP families. Out of scope as primary path: APK, native app, mini-program. Use for hostile web sign, token, cookie, WebSocket, GraphQL, protobuf, response-decode, fingerprint, WASM, challenge-bootstrap, dynamic-font, or protocol-collector flows
Run, configure, reset, or reconfigure Stata through the native Stata AI Skill background service at http://127.0.0.1:19522. Use when the user asks to run Stata commands, regressions, summarize data, t tests, hypothesis tests, do-files, .do scripts, .dta datasets, econometrics workflows, switch the configured Stata installation, redo Skill setup, clear Stata AI Skill configuration, or search Stata articles and cookbook-style resources with lianxh. No VS Code, Node.js, or Python runtime is required on the user side.
Step one of A-share technical analysis (data acquisition and minimal validation). Strictly prioritize tushare-mcp (calling tushare-pro.* via mcporter) to pull daily bars, technical factors, and capital flows and save them to results/project-name/data/raw.
Database operations for Supabase: query/write/migration/logs/type generation. Triggers: query/statistics/export/insert/update/delete/fix/backfill/migrate/logs/alerts/type generation. Does not trigger for: pure architecture discussion or code planning. Write operations require confirmation; UPDATE/DELETE without WHERE is refused. MCP is optional — works with CLI/Console too.
Database migration patterns with the Supabase CLI: npx supabase migration new, zero-downtime migrations, data backfill strategies, schema versioning, rollback strategies, and TypeScript type generation. Use when creating database migrations, performing zero-downtime schema changes, backfilling data in production, managing schema versions, or planning rollback strategies. Trigger with "supabase migration", "supabase schema change", "supabase zero downtime", "supabase rollback", "supabase db push", "supabase migration new".
Create and configure Syncfusion Stock Chart controls in ASP.NET Core applications. Use this skill when building financial data visualizations with stock charts, candlestick series, technical indicators, or trading dashboards. Covers setup, series types, data binding, legends, indicators, and user interactions.
Create or refine clean, shape-aware visualizations for tensor, matrix, and vector formulas or tensor code. Use for matrix-block diagrams, entry heatmaps, row/column shard stripes, stacked 3D/4D tensors, attention, tensor parallelism, broadcasting, reductions, contractions, and any explanation where tensor shapes or dimension meanings should be visually aligned with the computation.
The Reverse Engineer. Reads a famous investor's public SEC filings (the quarterly 13F-HR, plus Form 4 if you want the insider trades) and rebuilds their portfolio as weights you can copy: every position, its share of the fund, what they bought, added, trimmed and sold since the last quarter, with tickers matched to every CUSIP. Then it writes trader/targets.json so the budget skill can size it to your money. Use when the user says "copy Buffett", "copy Berkshire", "what does Ackman own", "reverse engineer this investor", "show me their 13F", "what did they buy last quarter", "copy the top 5", or names any fund or famous investor.
Apply Edward Tufte's principles to any data visualization, chart, dashboard, or infographic. Use when the user asks to produce, design, critique, or improve a chart, graph, dashboard, KPI tile, table-with-data, sparkline, small multiple, time series, distribution plot, choropleth, or any other visual that communicates quantitative or categorical information. Also triggers on words like "visualize", "viz", "data viz", "chart", "graph", "dashboard", "infographic", "Tufte". Outputs Tufte-compliant designs in either self-contained HTML/SVG or React (Recharts/D3). Defaults to Tufte rules; user can opt out per chart.
Inspect Underworld Overseer JSON saves and generate or troubleshoot interactive dungeon maps with RobThePCGuy/Underworld-Overseer-Save-Mapper. Use when a user wants to validate a save's Map records, visualize room coordinates and DescriptorID values, install the mapper, or diagnose empty/broken HTML output. Triggers on: Underworld Overseer save, dungeon save map, DescriptorID, Map JSON, Underworld Overseer mapper, or save-to-HTML.
Generate comprehensive knowledge graph reports for Obsidian vaults. Combines multiple graph queries (vault-stats, hubs, bridges, orphans-rich) to produce a structured 4-module analysis report with data summary tables. Requires obsidian-graph-query skill installed. Use for: vault report, knowledge report, vault analysis, vault health, knowledge graph report, 知識圖譜報告, vault 分析.
X Intelligence CLI for searching, monitoring, and analyzing X/Twitter from the terminal. Use for X/Twitter research prompts such as "search x", "find tweets about", "what's X saying", trend checks, follower diffs, real-time watch tasks, sentiment/report analysis, and bookmark-sync workflows. Best when recent community discourse matters (library/API changes, launches, market or cultural events). Supports search, watch, trends, bookmarks, likes/following (OAuth), Grok analysis, and JSON/JSONL/CSV/Markdown export. Non-goals: posting original tweets, DMs, or enterprise-only features.
Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.
Add resources to OpenViking, aka. ov. Use when an agent needs to add files, URLs, or external knowledge during interactions. Trigger this tool when 1. sees keyword "ovr"; 2. is explicitly requested adding files or knowledge; 3. identifies valuable resources worth importing
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Elite AI/ML Senior Engineer with 20+ years experience. Transforms Claude into a world-class AI researcher and engineer capable of building production-grade ML systems, LLMs, transformers, and computer vision solutions. Use when: (1) Building ML/DL models from scratch or fine-tuning, (2) Designing neural network architectures, (3) Implementing LLMs, transformers, attention mechanisms, (4) Computer vision tasks (object detection, segmentation, GANs), (5) NLP tasks (NER, sentiment, embeddings), (6) MLOps and production deployment, (7) Data preprocessing and feature engineering, (8) Model optimization and debugging, (9) Clean code review for ML projects, (10) Choosing optimal libraries and frameworks. Triggers: "ML", "AI", "deep learning", "neural network", "transformer", "LLM", "computer vision", "NLP", "TensorFlow", "PyTorch", "sklearn", "train model", "fine-tune", "embedding", "CNN", "RNN", "LSTM", "attention", "GPT", "BERT", "diffusion", "GAN", "object detection", "segmentation".
Health inspection for Alibaba Cloud Redis (ApsaraDB for Redis / Tair) instances. Generates HTML reports across 7 dimensions: instance basic info, current sessions, resource usage trends (CPU/memory/connection/bandwidth, last 7 days), big key / hot key analysis, slow log statistics, alert history, and risk-prioritized recommendations. Supports standard / cluster / SplitRW architectures, Tair PENA (persistent memory) and Tair ESSD (disk) types. Single-instance, multi-instance and full-account batch modes are supported. Trigger keywords: Redis inspection, Redis health check, KVStore inspection, Tair inspection, CPU usage, memory usage, connection usage, bandwidth usage, proxy usage, persistent memory, disk usage, slow log, big key, hot key, alert history, instance health report.
Use when a website or web app needs privacy-aware analytics architecture: GA4, Yandex Metrica, self-hosted analytics, consent, UTM, event taxonomy, funnels, dashboards, and launch verification. Do not mutate real analytics accounts or store credentials without explicit approval.
Call ArcGIS REST service endpoints for routing, geocoding, printing, places, geoprocessing, and other server-side operations. Use when computing directions or service areas, converting addresses to coordinates, exporting print-ready maps, searching for places, or invoking GP tools.
The core library for Astronomy and Astrophysics in Python. Provides data structures for coordinates, time, units, FITS files, and cosmological models. Essential for observational data reduction and theoretical astrophysics. Use when working with astronomical coordinates (RA/Dec), physical units, FITS files, time scales, WCS, cosmology, or astronomical tables.
Scrape BOSS直聘 (job listing site) via Chrome CDP. Searches jobs by keyword/city/filters, fetches JD details, outputs structured JSON/CSV with plaintext salary, and can summarize scraped results into a job-market prompt. Optional --company locally filters results by company name (boss_name substring) with no extra request. Use when user wants to search/analyze jobs on BOSS直聘 or zhipin.com.
Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications. Supports remote Browserbase sessions with automatic CAPTCHA solving, anti-bot stealth mode, and residential proxies — ideal for scraping protected websites, bypassing bot detection, and interacting with JavaScript-heavy pages.
Calculate, track, and report greenhouse gas emissions following GHG Protocol standards, including Scope 1, 2, and 3 emissions and science-based targets. Use when "carbon accounting, GHG emissions, scope 1, scope 2, scope 3, carbon footprint, emission factor, science-based target, SBTi, net zero, " mentioned.
Builds routing and origin-destination analysis workflows in CARTO. Triggers when the user mentions routing, route calculation, travel time, travel distance, OD matrix, origin-destination, isoline, isochrone, isodistance, catchment area, reachable area, drive time polygon, walk time polygon, service area, accessibility analysis, travel time matrix, distance matrix, commute patterns, trip flow, OD flow, mobility patterns, taxi trips, ride patterns, route geometry, shortest path, network distance, or wants to compute routes, generate isolines, build travel matrices, or analyze movement patterns between origins and destinations.
Projects 30-90 days of daily cash flow per cash account by combining current balance, scheduled recurring inflows and outflows from recurring.json, and a 6-month rolling average of discretionary spend, then flags days where projected balance falls below a configurable safety floor. Use for forward planning, detecting upcoming overdrafts, sizing pre-funding for sinking funds, or when user mentions cash flow projection, runway, balance forecast, or upcoming bills coverage.
Goldsky CLI command and flag reference — all valid subcommands, arguments, and options for goldsky turbo, pipeline, subgraph, secret, project, dataset, indexed, telemetry, and compose. Consult before suggesting any goldsky command to avoid hallucinating invalid commands or flags.
When the user wants to apply computer vision in warehouses, detect defects, track packages, count inventory, or automate visual inspection. Also use when the user mentions "computer vision," "image recognition," "object detection," "barcode reading," "package tracking," "quality inspection," "YOLO," "RCNN," "image classification," or "warehouse automation with vision." For general ML, see ml-supply-chain.
Complete the data analysis tasks delegated by the user. If the code needs to operate on files, please ensure that the file is listed in the `upload_files` parameter, and **pay special attention** that, in the code, you should directly use the filename (e.g., `open('data.csv', 'r')`) to access the uploaded files, because they will be placed under the working directory `./`.
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.