Verified
One skill covering every document format the category exists for — including scanned PDFs and RAG chunking — from the maintainers of the parser itself.
PDFOCRRAG
By use case
Top Data & Analytics Skills
Data sources, scientific datasets, BI dashboards, D3 viz patterns, structured extraction.
17 skills indexed · ranked by composite score · updated August 25, 2026
Top 6 Data & Analytics skills
- 1.docling—One skill covering every document format the category exists for — including scanned PDFs and RAG chunking — from the maintainers of the parser itself.
One skill covering every document format the category exists for — including scanned PDFs and RAG chunking — from the maintainers of the parser itself.
- 2.azure-ai-contentunderstanding-py—Multimodal extraction across documents, images, audio and video through one Azure client — Microsoft-authored, with an explicit trigger list.
Multimodal extraction across documents, images, audio and video through one Azure client — Microsoft-authored, with an explicit trigger list.
- 3.speech-to-text—Transcription and subtitle generation as a first-class skill — the media job agents are asked for most and could not previously do well.
Transcription and subtitle generation as a first-class skill — the media job agents are asked for most and could not previously do well.
Web scraping, search, and browser automation built to be agent-friendly.
- 5.visualize-data—OpenAI's chart-design skill: the judgement layer that decides which chart the question actually needs before any plotting code is written.
OpenAI's chart-design skill: the judgement layer that decides which chart the question actually needs before any plotting code is written.
- 6.build-dashboard—Dashboards with source definitions and a QA step — the parts that separate a monitoring view from a wall of charts nobody trusts.
Dashboards with source definitions and a QA step — the parts that separate a monitoring view from a wall of charts nobody trusts.
About Data & Analytics
The best agent skills for data and analytics in 2026 are Anthropic's official `xlsx` Skill for spreadsheet work — preserving formulas, charts, and conditional formatting that pandas drops — and the BI dashboard Skills (Looker, Metabase, Hex) for turning live data into published reports. Data & analytics Skills give agents the chops to handle the full data-team workflow — from messy CSV cleanup to dashboard authoring to scientific dataset analysis. The category covers BI dashboard generation (Looker, Metabase, Hex), structured extraction from PDFs and scraped pages, D3 visualization patterns, jupyter notebook authoring, and ETL Skills that wire data sources together.
Common workflows include cleaning malformed spreadsheets into proper datasets, generating SQL for a question, building a chart from a dataset, exploratory analysis in a notebook, extracting tables from PDFs for analysis, and authoring repeatable data pipelines. Several Skills pair with Supermetrics, Ahrefs, Datadog, or other analytics MCP servers so the agent has live data access. The xlsx Skill — Anthropic-authored — anchors the spreadsheet half of this category and frequently shows up in non-analytics workflows too.
Data scientists, analytics engineers, BI leads, and product managers running their own analyses use these. Composite scoring weights install count (xlsx and the BI Skills dominate), provenance (Anthropic, well-known data orgs), and how well the Skill handles the messy real-world cases: misplaced headers, encoding issues, mixed types, merged cells.
Ranked by score
Best Data & Analytics Skills
Skills that do data & analytics well — ranked transparently.
Verified
Multimodal extraction across documents, images, audio and video through one Azure client — Microsoft-authored, with an explicit trigger list.
AzureExtractionMultimodal
Verified
Transcription and subtitle generation as a first-class skill — the media job agents are asked for most and could not previously do well.
ElevenLabsTranscriptionSubtitles
Verified
Web scraping, search, and browser automation built to be agent-friendly.
ScrapingSearchWeb
Verified
OpenAI's chart-design skill: the judgement layer that decides which chart the question actually needs before any plotting code is written.
ChartsData vizQA
Verified
Dashboards with source definitions and a QA step — the parts that separate a monitoring view from a wall of charts nobody trusts.
DashboardsMetricsMonitoring
Verified
MongoDB aggregations and indexing without the foot-guns.
MongoDBAggregationNoSQL
Verified
The geospatial gap, filled by the vendor that defines it: data on a map, done properly.
MapboxGeospatialData Viz
Official
Cited research reports from fanned-out web search with adversarial verification.
ResearchWeb SearchSynthesis
10
OfficialExcel spreadsheets with real formulas, charts, and formatting — not flat CSV exports.
ExcelFormulasCharts
11
VerifiedWeb search + 36 authoritative data sources. SEC, PubMed, ChEMBL, FRED — agent-grade research.
SearchSECPubMed
Official
The official entry point for biomedical research workflows in Claude Code.
Life SciencesBioinformaticsOmics
Community
Scientific computing + dataset APIs. Reproducible research workflows for agents.
Sciencescikit-learnReproducibility
Verified
In-process analytical SQL over CSV, Parquet, and Excel — no warehouse, no server.
DuckDBSQLAnalytics
Official
Turn raw research into themes, segments, and a prioritized next-steps list.
ResearchSynthesisUX
Official
Executive-ready performance reports with next-period priorities.
ReportingAnalyticsKPIs
Community
D3.js patterns for interactive viz that does not look stock.
D3.jsVizInteractive
FAQ
Frequently asked
What does the xlsx Skill do that pandas does not?
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.
Can these Skills query my warehouse?
Pair them with a Supabase, BigQuery or Snowflake MCP server and yes. Standalone Skills generate SQL but do not run it.
Do they handle large datasets?
For multi-gigabyte data, Skills generate the right tooling (DuckDB, polars, Spark snippets) rather than loading everything into the agent's context.
Which Skill is best for jupyter notebooks?
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.
Are BI dashboard Skills cross-platform?
Most target one tool (Looker, Metabase, Hex). Cross-platform support is rare and a sign of a mature Skill — check the compatibility filter.
Go deeper
Guides and comparisons for Data & Analytics
Ranked recommendations with the reasoning, per-agent compatibility cuts, and head-to-head verdicts.
- Best agent Skills for data analysis →
The best agent Skills for analyzing data — Excel modeling with real formulas, multi-source cited research, primary-source data feeds, and publication-grade D3 visualization.
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