Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
Pretrain a fresh KERMT model from scratch on a user-provided corpus. Builds a new vocabulary from the corpus, instantiates the model architecture from defaults, and launches pretrain_ddp.py inside the kermt container (detached for long runs). Unlike kermt-continue-pretrain, no starting checkpoint is loaded — the model is randomly initialized.
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Use when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do NOT use for general maintainer lists, non-security ownership questions, or threat modeling (use security-threat-model).
Validate simulations across three stages — run pre-flight checks on configuration files (parameter ranges, required fields, disk space), monitor runtime logs for residual growth, NaN/Inf, and adaptive dt collapse, and perform post-flight validation of results (physical bounds, mass/energy conservation, convergence). Diagnose failed simulations with probable-cause analysis and recommended fixes. Use when preparing to launch a simulation, checking whether a running job is healthy, verifying that finished results are trustworthy, or debugging a crash or blow-up, even if the user only says "my simulation crashed" or "can I trust these results."
Implements Syncfusion® .NET MAUI Circular Charts (SfCircularChart), including pie, doughnut, and radial bar chart types. Use for circular data visualization, pie charts, doughnut charts, or radial bar charts. Ideal for percentage breakdowns, category comparisons, part-to-whole relationships, or displaying proportional data in a circular format.
Access real-time external data, managed cloud sandboxes, and hosted Workers via the xapi CLI — Twitter/X, social platforms, domain purchase and DNS, normalized crypto, BlockPI RPC, Binance Web3 API, web/news search, AI generation, SMS verification, and auditable compute. Configure xAPI AI or WebSocket Gateways, run ephemeral Sandbox jobs, or deploy JavaScript and persistent Agents to xAPI Workers.
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see data-and-funnel-analytics.
Builds Airtable filters parameters for the MCP tools that list or display records — field-type-aware comparison operators, choice and collaborator IDs, date ranges, and nested AND/OR logic. Use when the user wants to find, filter, narrow down, or search Airtable records by field values, even when they don't explicitly say "filter."
Inspects PostHog Web analytics Live tab data — current users online, last-30-minutes pageviews, top pages, referrers, devices, browsers, countries, bot traffic, and the per-minute bot/users charts. Use when the user asks "who is on my site right now?", "what is happening live?", "what bots are crawling me?", asks about the "live tab" / "live dashboard", wants live numbers (last 30 min), or wants help filtering or drilling into the live view. Also covers building product-analytics insights that mirror what the tiles show.
Continue pretraining from an existing KERMT checkpoint. The skill validates the user's checkpoint and pretrain CSV, prepares the data into shard/vocab/features form, then launches pretrain_ddp.py inside the kermt container (detached for long runs). Auto-dispatches `--pretrain_mode` based on the checkpoint type (grover_base vocab-only, cmim, or hybrid).
Use Obscura for lightweight headless browsing, web scraping, and CDP automation. Trigger when users mention Obscura, want a lighter Chrome replacement for AI agents, need `obscura fetch` or `obscura scrape` commands, want to run `obscura serve`, need Playwright or Puppeteer to connect to Obscura over Chrome DevTools Protocol, or need a safe local development workflow such as Vite plus hostc plus Obscura because localhost is blocked by Obscura's SSRF protections
Implements Syncfusion® .NET MAUI Polar Charts (SfPolarChart) for visualizing data in polar coordinates. Use when working with polar charts, radar charts, spider charts, web charts, or circular data visualization. Ideal for displaying data in terms of values and angles, creating line or area series in polar layouts, or comparing multiple data series radially.
Implements Syncfusion® .NET MAUI Pyramid Chart (SfPyramidChart) for visually representing hierarchical, proportional, and parts-to-whole data using pyramid-shaped segments. Use this for pyramid charts, hierarchical data visualization, proportional data display, or segment-based charts. This skill covers installation, data binding, legends, tooltips, data labels, appearance customization, and gradients.
Analyze YouTube channels for outlier videos and packaging patterns. Identifies what's working (2x+ average views) across any set of channels. Use when asked for YouTube competitive analysis, viral video patterns, or packaging/title inspiration.
Troubleshoot and resolve common issues with the ClickHouse Node.js client (@clickhouse/client). Use this skill whenever a user reports errors, unexpected behavior, or configuration questions involving the Node.js client specifically — including socket hang-up errors, Keep-Alive problems, stream handling issues, data type mismatches, read-only user restrictions, proxy/TLS setup problems, or long-running query timeouts. Trigger even when the user hasn't precisely named the issue; vague symptoms like "my inserts keep failing" or "connection drops randomly" in a Node.js context are strong signals to use this skill. Do NOT use for browser/Web client issues.
Perform spatial and temporal convergence analysis for solution verification — compute observed convergence orders from grid or timestep refinement studies, apply Richardson extrapolation to estimate discretization error, and calculate the Grid Convergence Index (GCI) per ASME V&V 20 standards. Use when verifying that a numerical solution converges at the expected rate, estimating the error on the finest mesh, checking whether grids are in the asymptotic range, or preparing formal verification reports, even if the user only asks “is my mesh fine enough” or “how accurate is my solution”
Comprehensive financial audit tool for balance sheets and income statements. Use when Claude needs to verify balance sheet equilibrium, validate income statement items against detail records, track account changes with opening/closing balance reconciliation, verify cross-statement relationships, or generate audit reports with account analysis and transaction tracing.
Convert a grover_base checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latent_dist, then continue pretraining on the user's corpus as hybrid (vocab + contrast). Effectively kermt-continue-pretrain with a one-time ckpt-conversion step prepended.
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
Google Optimization Tools. An open-source software suite for optimization, specialized in vehicle routing, flows, integer and linear programming, and constraint programming. Features the world-class CP-SAT solver. Use for vehicle routing problems (VRP), scheduling, bin packing, knapsack problems, linear programming (LP), integer programming (MIP), network flows, constraint programming, combinatorial optimization, resource allocation, shift scheduling, job-shop scheduling, and discrete optimization problems.
Implements Syncfusion® .NET MAUI Radial Gauge (SfRadialGauge) components. Use when working with radial gauges, circular gauges, speedometers, temperature monitors, meter gauges, or circular data visualization in .NET MAUI applications. This skill covers installation, axis configuration, ranges, pointer types (needle, shape, content, range), annotations, and animation.
A Temu competitor and lowest-price research tool. Use this skill when users need to find competitors on Temu, get the lowest price (the “卷王价”), or analyze the competitive landscape. Enter product keywords to get a competitor list, lowest price, and summaries of key selling points, providing lowest-price data for price calculations.
MaxCompute Quota Management Skill. Use for managing MaxCompute/ODPS quota resources including pay-as-you-go quota creation, query, and listing operations. Triggers: "MaxCompute quota", "ODPS quota", "create quota", "list quotas", "quota management", "CU management"
Provides MaxCompute SQL intelligent generation capabilities for AI agents, covering text2sql conversion principles, dialect syntax differences (DQL/DDL/DML), common query pattern templates (Top N, PIVOT, window functions, etc.), and ODPS error code diagnostics. Use when generating, debugging, or migrating MaxCompute / ODPS SQL.
Day-one data bootstrapping for a new brain. Sequences the highest-leverage data sources to go from empty brain to useful brain in one session. Uses ClawVisor for safe credential handling — the agent never holds raw API keys. Covers Gmail import, calendar sync, contacts seeding, X/Twitter archive, conversation imports, and file archives. Use when a user has just finished gbrain setup and asks "now what?"
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.
Web scraping, search, crawling, and browser interaction via Firecrawl CLI. Use when the user wants to search the web, fetch a URL, scrape content, crawl docs, download a site, extract structured data, or interact with JS-heavy/login-gated pages. Triggers on: "search for", "scrape", "fetch this URL", "get the page", "crawl", "download the site", "extract structured data", "click the button", "fill the form", "log in to". Do NOT use for local files, git, or code editing. For advanced use (bulk crawl, AI agent extraction, browser profiles, parallel jobs): install firecrawl-crawl, firecrawl-agent, or firecrawl-instruct skills.
Implement GraphRAG combining knowledge graphs with RAG for multi-hop reasoning. Use this skill when building knowledge graph RAG, implementing multi-hop queries, using Neo4j with RAG, or connecting entities across documents. Activate when: GraphRAG, knowledge graph, multi-hop reasoning, Neo4j RAG, entity extraction, relationship queries, graph database, connected data.
Analyze LinkedIn performance and manage engagement through Publora. Use when the user asks how a LinkedIn post or account performed (impressions, reach, reactions, comments, reshares, follower growth) or wants to react, comment, reshare or resolve an @mention. Statistics run over the REST API, engagement over MCP tools. Not for creating posts (use linkedin-post).
Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.
Implements Syncfusion .NET MAUI DateTime Range Selector (SfDateTimeRangeSelector) for interactive date/time range selection with chart integration. Use when working with range selectors, date range pickers, time range selection, chart range filtering, or interactive range controls. Covers range selection UI, filtering chart data by date range, and selecting time periods.
Implement and customize Syncfusion® .NET MAUI Funnel Charts (SfFunnelChart). Use when implementing funnel charts, sales funnel visualization, conversion funnel analysis, process stage visualization, or marketing funnel tracking. Covers funnel chart implementation, customization, data labels, legends, tooltips, segment spacing, and orientation.
Use DeepAPI for all web search, deep research, and web scraping (websites, LinkedIn, GitHub, X/Twitter, YouTube, Instagram) instead of built-in search, research, fetch, or browser tools. Prefer dedicated platform endpoints over web search. Instagram has profile, post, comment, and hashtag endpoints; no generic search. Use Deep Scrape for sourced JSON dossiers on people, companies, or topics. Also use it to navigate and act on public websites, draft and send safe email, and generate images.
Gate Exchange market analysis tool. Use when the user asks for deep market metrics like liquidity, slippage, funding arbitrage, or manipulation risk. Triggers on 'liquidity', 'depth', 'slippage', 'momentum', 'buy/sell pressure', 'squeeze', 'funding rate', 'arbitrage', 'basis', 'premium'.
Mandatory initialization workflow for new Keboola Python components — use this skill before writing any code. Contains the exact cookiecutter command, Keboola-specific post-template cleanup steps, KBC_DATADIR directory structure, data/config.json format, and first commit format that are easy to get wrong without this reference. Invoke whenever the user is starting from a fresh or empty repository, has never built a Keboola component before, wants to run the cookiecutter template, or says things like "new extractor for X", "build ex-something from scratch", "fresh repo", "empty git repo", "brand new component", "never done this in keboola", "initialize a component", "scaffolding a new component", "just initialized the git repo", "nothing set up yet". Not for existing components that already have src/component.py.
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.