Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
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
PPC financial calculator and modeling tool. CPA, ROAS, CPL calculations, break-even analysis, impression share opportunity sizing, budget forecasting, LTV:CAC ratio analysis, and MER (Marketing Efficiency Ratio) assessment. Requires zero API access. Works with pasted data from exports. Use when user says PPC math, ad calculator, break-even, budget forecast, ROAS calculator, CPA calculator, impression share, LTV CAC, or MER.
PROACTIVELY use whenever the user needs data outside your training set or requires a live network call — web search, URL scraping, news, social media (any platform), market prices (crypto/stocks/FX), on-chain data, e-commerce product data, business/company data, weather, travel (flights/hotels). The provider catalog is dynamic and grows over time; if unsure whether a provider exists, call find_tools first to discover it. Not needed for conceptual, code, or local-file work.
Expert knowledge for Azure DocumentDB development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use for DocumentDB vector search, MongoDB-compatible APIs, change streams, cross-region replication, Data API, and other Azure DocumentDB development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage), Azure SQL Database (use azure-sql-database), or Azure SQL Managed Instance (use azure-sql-managed-instance).
Report ground-truth Claude token consumption and estimated cost by parsing JSONL session files directly. Use when checking API spend, auditing token usage by project/session/model, generating daily/weekly/monthly cost reports, or diagnosing ccusage undercounting. Includes subagent files that ccusage ignores.
Integrate App Builder Database Storage (@adobe/aio-lib-db) into an Adobe Commerce app and scaffold a runtime action that reads and writes documents. Use when the user wants persistent, queryable storage backing a Commerce app — either from a web action (HTTP-invokable) or from an event/webhook handler. Requires a base app initialized with commerce-app-init.
Import AI assistant chat exports (ChatGPT, Claude, Perplexity) and agent session transcripts into the brain as one dated page per conversation under conversations/, validate each page against the native conversation parser, extract facts via the native conversation-facts flow, and keep the archive gap-free with a detect-and-backfill loop. Then answer archive questions: "when did I first discuss X", trace how an idea evolved across past conversations, pull a specific thread.
Guide for convex-helpers library patterns including Triggers, Row-Level Security (RLS), Relationship helpers, Custom Functions, Rate Limiting, and Workpool. Use when implementing automatic side effects, access control, relationship traversal, auth wrappers, or concurrency management. Activates for triggers setup, RLS implementation, custom function wrappers, or convex-helpers integration tasks.
Scrape a single known URL into clean markdown / HTML / links / structured JSON with fastCRW. Use when you already have the URL and want the page content — "scrape", "grab", "fetch", "pull", "read this page", "get the content of". Handles JavaScript-rendered SPAs automatically. Step 2 of the crw workflow ladder.
A skill for deciding DB table and column names based on the concepts, entities, and relationships being persisted rather than processing purposes. Use when naming databases, schemas, names related to normalization, or when avoiding names overfitted to a specific use case.
When the user needs bulk SERP data, local pack data at scale, keyword volumes for hundreds of terms at once, Google Maps business data programmatically, or is building custom local SEO tools/dashboards. Trigger on "bulk keyword data," "SERP data at scale," "DataForSEO," "Google Maps API data," "business data API," or when any other keyword/SERP tool would be too slow for the volume needed.
Compare reply rates, bounce rates, and positive reply rates broken down by inbox type (SMTP / Gmail / Outlook) for a Smartlead account. Use when you want to know "which inbox type delivers best" or when debugging unexplained deliverability differences across a mixed fleet. Operates via Smartlead API only (no database required).
Spatial data processing for geological modelling with GemPy. Use when the agent needs to: (1) Prepare spatial data for GemPy models, (2) Extract interface points from geological maps, (3) Process orientations/dip measurements, (4) Sample DEMs along profiles or cross-sections, (5) Convert between GIS formats and GemPy inputs, (6) Clip/transform vector/raster data for modeling, (7) Create model extents from geospatial bounds.
Design ablations that isolate causal mechanisms instead of producing decorative tables. Use during paper preparation, benchmark analysis, reviewer response, or whenever multiple mechanisms could explain an observed gain and the user needs to determine which component matters, why it matters, and whether alternative explanations remain plausible.
Route Data Analytics plugin-level requests and broad analytics work to the right focused workflow. Use when Data Analytics is at-mentioned, or for analytics requests involving data, metrics, dashboards, reports, charts, notebooks, spreadsheets, KPIs, market sizing, or semantic layers.
Review Kafka producer and consumer performance configurations in both the live cluster (via Lenses MCP) and the codebase. Flags un-tuned defaults, anti-patterns and missing best practices. Use when user says "review Kafka performance", "check producer configs", "tune Kafka settings" or asks about throughput, batching or compression. Do NOT use for cluster sizing or capacity planning.
Creates publication-quality matplotlib/seaborn charts in Python with an opinionated, despined, annotation-rich style (whitegrid, DejaVu Sans, ColorBrewer and cubehelix palettes, dimgrey text) and saves a reproducible script plus PDF/PNG. Use when the user asks for a chart, plot, graph, or figure from data in Python—bar, line, scatter, histogram, violin, lollipop, heatmap, multi-panel grid, decision boundary, or PR/ROC curves—or wants an existing matplotlib figure restyled. Also use for terse requests that only name a chart and a data file (e.g. “PR and ROC curves from results.npz”): make the chart
Evaluate a model rigorously and inspect where it fails. Use after training, during comparison to baselines, for LLM/system evaluations, noisy or suspiciously clean results, or whenever benchmark numbers alone are insufficient and the user needs slices, failure categories, and explanations.
Provides comprehensive guidance for MongoDB database including document operations, queries, aggregation, indexes, and best practices. Use when the user asks about MongoDB, needs to work with MongoDB collections, write queries, or design MongoDB schemas.
Help users sync and manage their application users in Portaly Vibe, including initial migration, incremental sync, and dashboard viewing. Trigger when the user mentions Portaly user sync, user management, user synchronization, member sync, or wants to push user data to Portaly.
Expert guidance on using PostgreSQL with Swift. Use when developers mention: (1) PostgreSQL or Postgres in Swift, (2) postgres-nio library, (3) SQL queries in Swift, (4) PostgreSQL connection pooling, (5) prepared statements, (6) type-safe database access, (7) bulk loading or COPY FROM, (8) PostgresClient or PostgresConnection.
Every Semrush Analytics + Projects feature, plus a local SQLite store and cross-domain joins no other Semrush tool has. Trigger phrases: `show me what changed for <domain> this week`, `find the keyword gap between <my domain> and <competitor>`, `show me new referring domains for <domain>`, `triage my Site Audit`, `what did Semrush cost me this month`, `detect keyword cannibalization on <domain>`, `track SERP feature changes for <keyword>`, `use semrush`, `run semrush`.
Query and interact with Prometheus HTTP API for monitoring data. Use when Claude needs to query Prometheus metrics, execute PromQL queries, retrieve targets/alerts/rules status, access metadata about series/labels, manage TSDB operations, or troubleshoot monitoring infrastructure. Supports instant queries, range queries, metadata endpoints, admin APIs, and alerting information.
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.