{
  "$schema": "https://top-agent-skills.com/schemas/catalog.v1.json",
  "type": "primary-category",
  "slug": "data-analytics",
  "title": "Data & Analytics",
  "shortTitle": "Data & Analytics",
  "description": "Data sources, scientific datasets, BI dashboards, D3 viz patterns, structured extraction.",
  "canonical": "https://top-agent-skills.com/top-skills-for-data-analytics",
  "alternates": {
    "html": "https://top-agent-skills.com/top-skills-for-data-analytics",
    "markdown": "https://top-agent-skills.com/top-skills-for-data-analytics.md",
    "json": "https://top-agent-skills.com/top-skills-for-data-analytics.json"
  },
  "rubricVersion": "1.0",
  "methodology": "https://top-agent-skills.com/about/methodology",
  "contentLastUpdated": "2026-09-02",
  "count": 21,
  "topPick": {
    "slug": "docling",
    "name": "docling",
    "score": 66,
    "tagline": "One skill covering every document format the category exists for — including scanned PDFs and RAG chunking — from the maintainers of the parser itself.",
    "url": "https://top-agent-skills.com/skill/docling"
  },
  "ranking": [
    {
      "rank": 1,
      "slug": "docling",
      "name": "docling",
      "score": 66,
      "tagline": "One skill covering every document format the category exists for — including scanned PDFs and RAG chunking — from the maintainers of the parser itself.",
      "bestFor": "Reading or converting documents the agent cannot open directly, at 65K stars and MIT: scanned PDFs, Office formats, tables, and chunking a corpus for retrieval.",
      "notIdealFor": "Producing polished Office files. Docling is a reader and converter — for generating a styled DOCX, XLSX or PPTX, the Anthropic document skills are the better fit.",
      "provenance": "verified-org",
      "publisher": "Docling project (LF AI & Data)",
      "license": "MIT",
      "compatibility": [
        "claude-code",
        "cursor",
        "codex"
      ],
      "install": "pip install docling && uvx library-skills --claude",
      "url": "https://top-agent-skills.com/skill/docling",
      "json": "https://top-agent-skills.com/skill/docling.json"
    },
    {
      "rank": 2,
      "slug": "azure-content-understanding",
      "name": "azure-ai-contentunderstanding-py",
      "score": 56,
      "tagline": "Multimodal extraction across documents, images, audio and video through one Azure client — Microsoft-authored, with an explicit trigger list.",
      "bestFor": "Teams already on Azure that need structured extraction from mixed media, not just PDFs — the case where a single-format parser leaves half the corpus unread.",
      "notIdealFor": "Local or offline processing. It teaches an agent to write correct Azure SDK code, so it needs Azure credentials and sends content to the service.",
      "provenance": "verified-org",
      "publisher": "Microsoft",
      "license": "MIT",
      "compatibility": [
        "claude-code"
      ],
      "install": "npx skills add microsoft/skills --skill azure-ai-contentunderstanding-py",
      "url": "https://top-agent-skills.com/skill/azure-content-understanding",
      "json": "https://top-agent-skills.com/skill/azure-content-understanding.json"
    },
    {
      "rank": 3,
      "slug": "elevenlabs-speech-to-text",
      "name": "speech-to-text",
      "score": 56,
      "tagline": "Transcription and subtitle generation as a first-class skill — the media job agents are asked for most and could not previously do well.",
      "bestFor": "Turning recorded audio or video into text you can act on: subtitles, meeting notes, or a searchable transcript of a media archive.",
      "notIdealFor": "Confidential audio that cannot leave your infrastructure — it is a hosted API, so the audio is uploaded.",
      "provenance": "verified-org",
      "publisher": "ElevenLabs",
      "license": "MIT",
      "compatibility": [
        "claude-code"
      ],
      "install": "npx skills add elevenlabs/skills --skill speech-to-text",
      "url": "https://top-agent-skills.com/skill/elevenlabs-speech-to-text",
      "json": "https://top-agent-skills.com/skill/elevenlabs-speech-to-text.json"
    },
    {
      "rank": 4,
      "slug": "gtm-eng-skills",
      "name": "gtm-eng-skills",
      "score": 52,
      "tagline": "Waterfall enrichment as a procedure, not a single provider call.",
      "bestFor": "GTM engineers who already know no single data provider covers more than 60-75% of contacts and want the chaining, cost-per-hit ordering and identity validation written down.",
      "notIdealFor": "Anyone not on Deepline. The skills drive the Deepline CLI and its provider network, so without that account they read as documentation rather than run as workflows.",
      "provenance": "verified-org",
      "publisher": "Deepline",
      "license": "MIT",
      "compatibility": [
        "claude-code"
      ],
      "install": "npx skills add getaero-io/gtm-eng-skills --all",
      "url": "https://top-agent-skills.com/skill/gtm-eng-skills",
      "json": "https://top-agent-skills.com/skill/gtm-eng-skills.json"
    },
    {
      "rank": 5,
      "slug": "openai-visualize-data",
      "name": "visualize-data",
      "score": 51,
      "tagline": "OpenAI's chart-design skill: the judgement layer that decides which chart the question actually needs before any plotting code is written.",
      "bestFor": "Getting a chart that answers the question rather than one that displays the data — chart-type choice, encoding, and a QA pass on a figure you already have.",
      "notIdealFor": "Library-specific implementation help. It carries visual judgement, not D3 or Vega syntax, so pair it with a plotting library skill when the code is the hard part.",
      "provenance": "verified-org",
      "publisher": "OpenAI",
      "license": "MIT",
      "compatibility": [
        "codex"
      ],
      "install": "npx skills add openai/role-specific-plugins --skill openai-visualize-data",
      "url": "https://top-agent-skills.com/skill/openai-visualize-data",
      "json": "https://top-agent-skills.com/skill/openai-visualize-data.json"
    },
    {
      "rank": 6,
      "slug": "openai-build-dashboard",
      "name": "build-dashboard",
      "score": 51,
      "tagline": "Dashboards with source definitions and a QA step — the parts that separate a monitoring view from a wall of charts nobody trusts.",
      "bestFor": "A dashboard people will make decisions from, where every metric needs a stated definition and source rather than an unexplained number.",
      "notIdealFor": "One-off exploratory charts. The structure it imposes — metric definitions, filters, QA — is overhead when you are just looking at data once.",
      "provenance": "verified-org",
      "publisher": "OpenAI",
      "license": "MIT",
      "compatibility": [
        "codex"
      ],
      "install": "npx skills add openai/role-specific-plugins --skill openai-build-dashboard",
      "url": "https://top-agent-skills.com/skill/openai-build-dashboard",
      "json": "https://top-agent-skills.com/skill/openai-build-dashboard.json"
    },
    {
      "rank": 7,
      "slug": "deep-research",
      "name": "deep-research",
      "score": 50,
      "tagline": "Cited research reports from fanned-out web search with adversarial verification.",
      "bestFor": "Any deep, multi-source, fact-checked research request — competitive analysis, technical surveys, market sizing.",
      "notIdealFor": null,
      "provenance": "anthropic",
      "publisher": "Anthropic",
      "license": "MIT",
      "compatibility": [
        "claude-code",
        "antigravity"
      ],
      "install": "Built into Claude Code. Invoke with /deep-research.",
      "url": "https://top-agent-skills.com/skill/deep-research",
      "json": "https://top-agent-skills.com/skill/deep-research.json"
    },
    {
      "rank": 8,
      "slug": "firecrawl",
      "name": "firecrawl",
      "score": 49,
      "tagline": "Web scraping, search, and browser automation built to be agent-friendly.",
      "bestFor": "Research workflows, structured extraction at scale, search-grounded answers.",
      "notIdealFor": null,
      "provenance": "verified-org",
      "publisher": "Firecrawl",
      "license": "Proprietary",
      "compatibility": [
        "claude-code",
        "claude-api",
        "cursor",
        "codex"
      ],
      "install": "npx -y firecrawl-cli@latest init --all --browser",
      "url": "https://top-agent-skills.com/skill/firecrawl",
      "json": "https://top-agent-skills.com/skill/firecrawl.json"
    },
    {
      "rank": 9,
      "slug": "mapbox-data-visualization",
      "name": "mapbox-data-visualization-patterns",
      "score": 49,
      "tagline": "The geospatial gap, filled by the vendor that defines it: data on a map, done properly.",
      "bestFor": "Any visualization where location is the dimension that matters, and the dataset is large enough to need tuning.",
      "notIdealFor": "Charts and diagrams — this is cartography, not a plotting library.",
      "provenance": "verified-org",
      "publisher": "Mapbox",
      "license": "MIT",
      "compatibility": [
        "claude-code"
      ],
      "install": "/plugin marketplace add mapbox/mapbox-agent-skills",
      "url": "https://top-agent-skills.com/skill/mapbox-data-visualization",
      "json": "https://top-agent-skills.com/skill/mapbox-data-visualization.json"
    },
    {
      "rank": 10,
      "slug": "xlsx",
      "name": "xlsx",
      "score": 48,
      "tagline": "Excel spreadsheets with real formulas, charts, and formatting — not flat CSV exports.",
      "bestFor": "Financial models, structured reports, anything that needs formulas.",
      "notIdealFor": null,
      "provenance": "anthropic",
      "publisher": "Anthropic",
      "license": "MIT",
      "compatibility": [
        "claude-code",
        "claude-ai",
        "claude-api"
      ],
      "install": "npx skills add github.com/anthropics/skills --skill xlsx",
      "url": "https://top-agent-skills.com/skill/xlsx",
      "json": "https://top-agent-skills.com/skill/xlsx.json"
    },
    {
      "rank": 11,
      "slug": "life-sciences",
      "name": "life-sciences",
      "score": 48,
      "tagline": "The official entry point for biomedical research workflows in Claude Code.",
      "bestFor": "Computational biology and pharma research teams running omics QC, pipeline development, and literature workflows.",
      "notIdealFor": "Clinical care or billing workflows (see claude-healthcare), and teams requiring a unified OSS license — providers ship under their own terms.",
      "provenance": "anthropic",
      "publisher": "Anthropic",
      "license": "No unified OSS license (per-provider terms)",
      "compatibility": [
        "claude-code"
      ],
      "install": "/plugin marketplace add anthropics/life-sciences",
      "url": "https://top-agent-skills.com/skill/life-sciences",
      "json": "https://top-agent-skills.com/skill/life-sciences.json"
    },
    {
      "rank": 12,
      "slug": "vibe-prospecting",
      "name": "vibe-prospecting",
      "score": 48,
      "tagline": "The top of the funnel: find the company, find the person, enrich the row.",
      "bestFor": "Building a targeted lead list or enriching an existing one from natural language — \"SaaS companies in New York using Salesforce, and their engineering leaders\".",
      "notIdealFor": "Working a pipeline you already have (that is a CRM skill) and any workflow that must run without a paid data account — the skill is the interface, Explorium supplies the data.",
      "provenance": "verified-org",
      "publisher": "Explorium",
      "license": "MIT",
      "compatibility": [
        "claude-code"
      ],
      "install": "/plugin install vibe-prospecting@claude-plugins-official",
      "url": "https://top-agent-skills.com/skill/vibe-prospecting",
      "json": "https://top-agent-skills.com/skill/vibe-prospecting.json"
    },
    {
      "rank": 13,
      "slug": "mongodb-patterns",
      "name": "mongodb-patterns",
      "score": 47,
      "tagline": "MongoDB aggregations and indexing without the foot-guns.",
      "bestFor": "Mongo-heavy teams that want correct aggregation pipelines on the first try.",
      "notIdealFor": null,
      "provenance": "verified-org",
      "publisher": "MongoDB",
      "license": "Apache-2.0",
      "compatibility": [
        "claude-code",
        "cursor"
      ],
      "install": "npx skills add mongodb/agent-skills",
      "url": "https://top-agent-skills.com/skill/mongodb-patterns",
      "json": "https://top-agent-skills.com/skill/mongodb-patterns.json"
    },
    {
      "rank": 14,
      "slug": "carta-cap-table",
      "name": "carta-cap-table",
      "score": 47,
      "tagline": "The equity stack: cap table, 409A history, conversions, exit waterfall.",
      "bestFor": "Founders and finance leads modelling dilution, a new round, or an exit scenario against their real Carta data.",
      "notIdealFor": "Companies not on Carta, and anything cash-side — this is the equity ledger, not the bank ledger.",
      "provenance": "verified-org",
      "publisher": "Carta",
      "license": "Apache-2.0",
      "compatibility": [
        "claude-code"
      ],
      "install": "/plugin marketplace add carta/plugins",
      "url": "https://top-agent-skills.com/skill/carta-cap-table",
      "json": "https://top-agent-skills.com/skill/carta-cap-table.json"
    },
    {
      "rank": 15,
      "slug": "research-synthesis",
      "name": "research-synthesis",
      "score": 47,
      "tagline": "Turn raw research into themes, segments, and a prioritized next-steps list.",
      "bestFor": "Designers and researchers with a stack of transcripts and no time to cluster them by hand.",
      "notIdealFor": null,
      "provenance": "anthropic",
      "publisher": "Anthropic",
      "license": "MIT",
      "compatibility": [
        "claude-code",
        "claude-ai",
        "antigravity"
      ],
      "install": "claude plugin install design",
      "url": "https://top-agent-skills.com/skill/research-synthesis",
      "json": "https://top-agent-skills.com/skill/research-synthesis.json"
    },
    {
      "rank": 16,
      "slug": "performance-report",
      "name": "performance-report",
      "score": 47,
      "tagline": "Executive-ready performance reports with next-period priorities.",
      "bestFor": "Wrapping a campaign or preparing weekly, monthly, or quarterly channel summaries.",
      "notIdealFor": null,
      "provenance": "anthropic",
      "publisher": "Anthropic",
      "license": "MIT",
      "compatibility": [
        "claude-code",
        "claude-ai",
        "antigravity"
      ],
      "install": "claude plugin install marketing",
      "url": "https://top-agent-skills.com/skill/performance-report",
      "json": "https://top-agent-skills.com/skill/performance-report.json"
    },
    {
      "rank": 17,
      "slug": "valyu",
      "name": "valyu",
      "score": 46,
      "tagline": "Web search + 36 authoritative data sources. SEC, PubMed, ChEMBL, FRED — agent-grade research.",
      "bestFor": "Research workflows needing current, authoritative data with 79% FreshQA score.",
      "notIdealFor": null,
      "provenance": "verified-org",
      "publisher": "Valyu",
      "license": "Proprietary",
      "compatibility": [
        "claude-code",
        "claude-api",
        "cursor",
        "codex"
      ],
      "install": "npx skills add valyuai/skills",
      "url": "https://top-agent-skills.com/skill/valyu",
      "json": "https://top-agent-skills.com/skill/valyu.json"
    },
    {
      "rank": 18,
      "slug": "duckdb-skills",
      "name": "duckdb-skills",
      "score": 46,
      "tagline": "In-process analytical SQL over CSV, Parquet, and Excel — no warehouse, no server.",
      "bestFor": "Ad-hoc analytics over local data files (CSV, Parquet, JSON, Excel) where standing up a warehouse is overkill.",
      "notIdealFor": "High-concurrency transactional workloads — DuckDB is an analytical (OLAP) engine, not an OLTP database.",
      "provenance": "verified-org",
      "publisher": "DuckDB",
      "license": "MIT",
      "compatibility": [
        "claude-code"
      ],
      "install": "/plugin marketplace add duckdb/duckdb-skills",
      "url": "https://top-agent-skills.com/skill/duckdb-skills",
      "json": "https://top-agent-skills.com/skill/duckdb-skills.json"
    },
    {
      "rank": 19,
      "slug": "scientific-skills",
      "name": "scientific-skills",
      "score": 45,
      "tagline": "Scientific computing + dataset APIs. Reproducible research workflows for agents.",
      "bestFor": "Computational biology, materials, physics — anywhere reproducibility matters.",
      "notIdealFor": null,
      "provenance": "community",
      "publisher": "K-Dense-AI",
      "license": "MIT",
      "compatibility": [
        "claude-code"
      ],
      "install": "npx skills add K-Dense-AI/scientific-agent-skills",
      "url": "https://top-agent-skills.com/skill/scientific-skills",
      "json": "https://top-agent-skills.com/skill/scientific-skills.json"
    },
    {
      "rank": 20,
      "slug": "netsuite-finance-analyst",
      "name": "netsuite-finance-analyst",
      "score": 43,
      "tagline": "Oracle's own FP&A analyst: variance decomposition, close readiness, board narratives.",
      "bestFor": "Finance teams on NetSuite who want period-close review and variance analysis done against live data rather than exported spreadsheets.",
      "notIdealFor": "Anyone not on NetSuite. It also requires the NetSuite AI Connector Service, so there is no free or local path.",
      "provenance": "verified-org",
      "publisher": "Oracle NetSuite",
      "license": "UPL-1.0",
      "compatibility": [
        "claude-code"
      ],
      "install": "/plugin marketplace add anthropics/claude-plugins-official",
      "url": "https://top-agent-skills.com/skill/netsuite-finance-analyst",
      "json": "https://top-agent-skills.com/skill/netsuite-finance-analyst.json"
    },
    {
      "rank": 21,
      "slug": "d3js-skill",
      "name": "d3js-skill",
      "score": 40,
      "tagline": "D3.js patterns for interactive viz that does not look stock.",
      "bestFor": "Custom interactive viz where you want D3 quality without remembering D3.",
      "notIdealFor": null,
      "provenance": "community",
      "publisher": "chrisvoncsefalvay",
      "license": "MIT",
      "compatibility": [
        "claude-code",
        "cursor"
      ],
      "install": "npx skills add chrisvoncsefalvay/claude-d3js-skill",
      "url": "https://top-agent-skills.com/skill/d3js-skill",
      "json": "https://top-agent-skills.com/skill/d3js-skill.json"
    }
  ],
  "faqs": [
    {
      "question": "What does the xlsx Skill do that pandas does not?",
      "answer": "It preserves formulas, conditional formatting, merged cells, and chart objects — things pandas drops on read. For analysis, pandas is fine. For creating or editing existing spreadsheets that humans will open, xlsx is the right tool."
    },
    {
      "question": "Can these Skills query my warehouse?",
      "answer": "Pair them with a Supabase, BigQuery or Snowflake MCP server and yes. Standalone Skills generate SQL but do not run it."
    },
    {
      "question": "Do they handle large datasets?",
      "answer": "For multi-gigabyte data, Skills generate the right tooling (DuckDB, polars, Spark snippets) rather than loading everything into the agent's context."
    },
    {
      "question": "Which Skill is best for jupyter notebooks?",
      "answer": "The Anthropic-authored notebook-edit tool plus the data-analysis Skills cover the common cases — read all cells with outputs, edit specific cells, run targeted analyses."
    },
    {
      "question": "Are BI dashboard Skills cross-platform?",
      "answer": "Most target one tool (Looker, Metabase, Hex). Cross-platform support is rare and a sign of a mature Skill — check the compatibility filter."
    }
  ],
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "attribution": "Top Agent Skills (https://top-agent-skills.com)"
}