Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Use when writing SpacetimeDB TypeScript or JavaScript clients, generated TS bindings, `DbConnection`, `DbContext`, query builders, subscriptions, reducer events, cache callbacks, React provider/hooks, Vue, Svelte, browser, Node, Bun, Deno, Next.js, Nuxt, Remix, TanStack, or Angular integrations. Triggers on: TypeScript SDK, JavaScript SDK, useSpacetimeDB, useTable.
Use when calling SpacetimeDB HTTP endpoints for identity, database operations, reducer calls, SQL execution, schema metadata, logs, energy endpoints, or authorization headers. Triggers on: HTTP API, REST, Authorization header, bearer token, /v1/identity, /v1/database, HTTP reducer call, HTTP SQL.
Use when writing SpacetimeDB SQL for subscriptions, CLI queries, HTTP SQL, SELECT/FROM/WHERE, DML, system variables, data types, literals, identifiers, or performance. Triggers on: SQL, spacetime sql, subscription query, SELECT, WHERE, INSERT, DELETE, UPDATE, SHOW, identifier, literal.
Stock research group offering earnings monitoring (vs. expectations), broker research report search and parsing (Gemini extracts viewpoints), monthly broker top-pick statistics, institutional research retrieval, balance sheet query and analysis, main business composition analysis, technical factors, and the Magic Nine Turn indicator
Create, visualize, and analyze lithological and stratigraphic logs for well data. Use when the agent needs to: (1) Create lithology columns from depth intervals, (2) Parse geological descriptions into structured logs, (3) Visualize stratigraphic columns with patterns and colors, (4) Perform well-to-well correlations, (5) Extract statistics like net-to-gross ratios, (6) Define rock type lexicons and legends, (7) Export lithology data to CSV/LAS/JSON.
Use this skill when developing applications with Supabase, running the Supabase CLI, designing migrations and RLS policies, testing database behavior, generating client types, deploying the official self-hosted Docker stack, or administering its Postgres, Auth, Storage, Realtime, Functions, API gateway, backups, upgrades, and security. Use it for managed and self-hosted projects. Do not use for generic PostgreSQL work with no Supabase services or conventions.
Guide to implementing Syncfusion Maps in TypeScript and JavaScript. Use this skill whenever the user needs to create interactive maps, add markers, visualize geographical data, work with map layers, apply color mapping, add annotations, configure legends, or handle map interactions and events. Works with TypeScript (module-based) and JavaScript (CDN/ES5).
CLI syntax reference for Tabular Editor 2 (TabularEditor.exe); deployment, scripting, BPA analysis, and CI/CD integration. Automatically invoke when the user mentions "TabularEditor.exe", TE2 CLI flags (-D, -S, -A, -B, -TMDL, -O, -C), or asks to "deploy a model via CLI", "set up CI/CD for Power BI", "automate model deployment", "run BPA from command line", "save model as TMDL".
This skill should be used when the user asks to "update study", "analyze new experiments", "update experiment document", or "refresh study notes". Produces academic-paper-quality experiment reports with matplotlib plots, executive summary with comparison tables, implementation structure, experimental results with figure interpretation, proposed improvements with code examples, hypotheses, limitations, and LaTeX PDF export with figures. Features incremental detection (only analyze NEW experiments), data extraction to DataFrame, automated plot generation, iterative writing improvement loop with quality criteria, zero-hallucination verification, and LaTeX PDF export. Usage - `/update-study logs/experiment.log study.md` or `/update-study "logs/exp1.log logs/exp2.log" results/ablation_study.md`
Document database implementation for flexible schema applications. Use when building content management, user profiles, catalogs, or event logging. Covers MongoDB (primary), DynamoDB, Firestore, schema design patterns, indexing strategies, and aggregation pipelines.
Analyze video files by detecting scene boundaries and generating structured production metadata as JSON. Use when asked to analyze scenes in a video, detect scene changes, generate scene-level metadata (camera angles, color tone, tempo, transitions, text overlays), catalog visual assets, or produce a structured JSON breakdown of video content. Includes bundled videx script for frame extraction (requires ffmpeg/ffprobe). Outputs analysis.json with per-scene content summaries, production/direction tags, and a cross-scene asset library.
Make weekly startup growth decisions using growth rate, user behavior, and experiment evidence. Do not use this skill for runway, burn, or profitability trajectory analysis; use `yc-default-alive-calculator` for financial sustainability.
Monitor your own website's SEO performance using Google Search Console data. Track keyword rankings, clicks, impressions, CTR, and position changes over time. Identify top performing pages, declining keywords, and new ranking opportunities. Use when user says "monitor my site", "my rankings", "GSC data", "Search Console", "my keywords", "position changes", "CTR", "impressions", or "clicks".
Free ResearchRabbit / Connected Papers analog — builds a citation and co-citation graph around one or more seed papers using the OpenAlex API. Walks both directions of the citation network (works the seed cites and works that cite the seed), ranks the discovered neighbourhood by co-citation strength and bibliographic coupling to surface the papers most central to a topic's literature, and exports the network as GraphML (Gephi / Cytoscape / yEd) and JSON. Use when mapping a literature landscape, finding seminal or highly co-cited papers from a seed DOI, snowballing a reference network, building a citation map / co-citation analysis, or visualizing how a research area's papers connect — no subscription needed (a free OpenAlex API key is recommended). Part of the AlterLab Academic Skills suite.
Free Elicit-columns analog — ingest N PDFs (or any MarkItDown-supported document) and build a per-paper evidence table with user-defined columns, one row per paper and one column per attribute/question you want pulled from every source. Use when extracting structured data across many papers into a comparison table or data-extraction sheet (sample size, methods, main finding, effect, population/intervention/outcome, limitations), screening a corpus into a spreadsheet, or pulling the same fields from a stack of PDFs into CSV/Markdown. Routes conversion through MarkItDown; offline heuristic backend by default, optional LLM backend for precise answers. Part of the AlterLab Academic Skills suite.
Runs 16S/ITS amplicon (microbiome) analysis with the QIIME 2 distribution (2026.7; the "amplicon" distribution was renamed "qiime2" in 2026.4) in the correct order: manifest import, cutadapt trim-paired primer removal BEFORE dada2 denoise-paired (trunc-len chosen from the demux quality .qzv), feature-classifier classify-sklearn against a version-matched SILVA 138 or Greengenes2 classifier, and diversity core-metrics-phylogenetic — teaching the .qza/.qzv artifact-and-provenance model and the 2026.1 feature-table summarize change (the former summarize_plus). Use when the request mentions QIIME2, QIIME 2, qiime, 16S, 18S, ITS, amplicon, microbiome, ASV, DADA2 denoising, feature table, taxonomic classification, or core-metrics diversity. For downstream alpha/beta diversity, PCoA, and PERMANOVA on the exported feature table prefer alterlab-scikit-bio; this is conda-only (no pip install). Part of the AlterLab Academic Skills suite.
Apple data persistence, data flow, networking, and utility reference. SwiftData / Core Data / Foundation / Combine. @Model, ModelContainer, ModelContext, @Query, Predicate, FetchDescriptor, SectionedResults, ResultsObserver, NSManagedObject, NSFetchRequest, NSFetchedResultsController, NSPersistentContainer, NSPersistentCloudKitContainer, NSStagedMigrationManager, URLSession, JSONDecoder, JSONEncoder, Publisher, sink, Future, AsyncPublisher, @Published, AnyCancellable
Work with advanced layer types including WMS, WFS, WMTS, OGCFeatureLayer, KMLLayer, MapImageLayer, CatalogLayer, MediaLayer, and VideoLayer. Use for OGC services, server-side rendering, georeferenced media content, and live video feeds from ArcGIS Video Server.
Configure FeatureTable for tabular data display and FormTemplate with input elements for feature editing forms. Use when adding spreadsheet-style data grids, building attribute edit forms, configuring form input types and validation, or surfacing related records in forms.
Build portable, first-person colored ASCII city engines and small GIS-derived city packs. Use when designing terrain-following walking, raycast character rendering, city-provider schemas, or reproducible public-GIS ingestion. Do not use for conventional 3D/WebGL games, multi-level interiors, general GIS analysis, or committing full-resolution GIS archives.
When the user wants to match disparate financial data sources (e.g., bank statements vs. general ledger) at scale using AI. Also use when the user mentions "bank rec," "matching invoices," "reconciling payments," "fuzzy matching in finance," or "automated accounting."
Expert knowledge for Azure Horizondb development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when tuning pgvector, azure_ai SQL functions, LangChain vector stores, Apache AGE graphs, or hybrid search, and other Azure Horizondb related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure SQL Database (use azure-sql-database), Azure Table Storage (use azure-table-storage).
Geophysical equations and rock physics calculations for seismic analysis. Use when the agent needs to: (1) Calculate AVO responses (Zoeppritz, Shuey, Aki-Richards), (2) Perform Gassmann fluid substitution, (3) Generate seismic wavelets (Ricker, Ormsby), (4) Compute reflectivity and synthetic seismograms, (5) Calculate elastic moduli from velocities, (6) Apply Gardner/Castagna empirical relations, (7) Model rock physics effects.
ClickHouse schema management with chkit. Use when working with chkit CLI commands, ClickHouse table/view/materialized view definitions, migration generation, drift detection, or clickhouse.config.ts files. Trigger on chkit commands, @chkit/core imports, or schema definition tasks.
Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow. Aligns runs at the student's current step (never current-vs-final-of-baseline) and separates proxy metrics from downstream targets. Use when the user asks to compare runs, check if a run is improving, track lag against a baseline, rank experiments, or evaluate run-vs-run performance.
Extract a typed JSON object from one or more web pages against a JSON Schema with fastCRW. Use when you need structured data — "get the price and stock status", "extract all job listings as JSON", "pull structured fields from this page". Step 6 of the crw workflow ladder.
Use when the user needs to design, run, or audit product or GTM analytics — metric hierarchies and north stars, funnels, cohort retention, churn, pipeline velocity, forecasting, lead scoring, NRR, A/B tests, or analytical SQL — or uploads a dataset to analyze. Triggers on questions like "why did activation drop", "is this metric meaningful", "review my dashboard", or "what should I measure". For writing the spec that defines a feature's success metrics, use product-spec.
Data analysis and statistical computation. Use when user needs "数据分析/统计/计算指标/数据洞察". Supports general analysis, financial data (stocks, returns), business data (sales, users), and scientific research. Uses pandas/numpy/scikit-learn for processing. Automatically activates data-base for data acquisition.
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.