Tools

166 research skills maintained by K-Dense (formerly Claude Scientific Skills), spanning bioinformatics, cheminformatics, clinical research, materials and physics, including unified access to 78 public databases such as PubChem and UniProt. Works with Claude Code, Codex and Cursor.

Creates, edits and analyzes Excel spreadsheets: formulas, formatting, charts and data cleaning, plus conversion between CSV, TSV and other tabular formats. The official Anthropic skill behind Claude's document features; source-available, not open source.

Command-line edition of the open-source OpenBB investment research platform: query stock prices, financial statements, macroeconomic and other financial data from the terminal, and automate data pulls with Routine scripts. Officially maintained; some sources need API keys.

Quant trading plugin from the wshobson/agents marketplace: quant analyst and risk manager subagents plus backtesting and risk metrics skills for strategy backtests, portfolio optimization and risk measures like VaR, Sharpe ratio and max drawdown. Needs local Python; not investment advice.

Business analytics plugin from the wshobson/agents marketplace: KPI dashboard design and data storytelling skills plus a business analyst subagent to choose metrics, plan dashboard layouts and turn data into reports executives or investors understand. Methods and templates only; no data connections.

Official Anthropic skill for cleaning messy Excel exports: trims spaces, standardizes case and dates, converts text numbers, dedupes, and flags mixed types, garbled text and errors. Keeps originals via helper-column formulas and confirms each step. Works in Claude for Excel; local files need Python.

Trading research agent from HKU's HKUDS whose MCP server offers 70+ tools for quotes, financials, backtesting and research across A-shares, Hong Kong and US stocks and crypto. Needs local Python; HK, US and crypto research need no API key. For research only; not investment advice.

Compensation analysis for HR and managers: market pay percentiles by role, level and location, offer competitiveness checks and equity modeling; upload a pay sheet to find employees outside their band and flight risks. Without a comp data source it uses public web data, so verify. By Anthropic.

Breaks budget-versus-actual, year-over-year and month-over-month variances into volume, price and mix drivers, filters by materiality thresholds, writes variance commentary and provides waterfall breakdowns for monthly business reviews. From Anthropic's official finance plugin.

Reorder planning for small merchants: reads sales and stock from Shopify, Square, NetSuite or CSV, projects stockout dates from 7- and 28-day velocity, sizes reorders from 60-day usage plus lead time, drafts POs and supplier emails, and flags dead stock. Nothing is sent unapproved. By Anthropic.

Generates people analytics reports from employee data: headcount snapshots, voluntary and involuntary attrition, diversity metrics, spans of control and flight risk, with findings and recommendations for leadership. Needs an uploaded employee CSV or a connected HRIS. Official from Anthropic.

Finance plugin: ratio analysis, DCF valuation, budget variance, revenue and cash-flow forecasts, SaaS metrics like ARR, churn, LTV and CAC, and peer-comparison fundamentals for US and Indian listed companies. Includes Python scripts. Not investment advice; needs professional review.

For SaaS customer success teams: three standard-library Python scripts turn customer data into health scores, churn-risk tiers and ranked expansion opportunities, with reproducible results. Needs Python and customer data in the sample JSON format. Part of the claude-skills collection.

Official Lark (Feishu) skill to create and edit Lark Sheets: formulas, charts and pivot tables, conditional formatting and filters, plus import and export of local Excel/CSV, for summaries, budgets and reports. Needs lark-cli on a machine with Node.js, plus app setup and authorization.

Reads the exact position of every character, line and table cell in digital PDFs: the CLI exports layout-preserving text or CSV/JSON details, and the Python API extracts tables and form fields, ideal for invoices, statements and reports. Runs locally with Python; scans need OCR first.

Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins.

OpenAI's official data analytics skills: data quality assessment, KPI design, metric anomaly diagnosis, dashboards and analysis reports, market sizing and notebooks. Ships with a Codex plugin; some skills depend on its runtime.

Self-hosted open-source bookkeeping app with a built-in MCP server: AI logs expenses in natural language and queries transactions, balances, categories, tags and exchange rates, keeping data on your server. Deploy via Docker or package, set enable_mcp, and create a token in security settings.

From the FinanceToolkit author: computes ratios, valuation, risk and macro indicators with 500+ transparent formulas, for company comparisons and first-pass due diligence. Hosted, no install; enter a Financial Modeling Prep key on first connect (free tier: US stocks, 5 years). Verify results.

Create, read and modify xlsx workbooks without Microsoft Excel installed: formulas, formatting and conditional formatting, charts, pivot tables and tables. Runs locally over stdio or as a remote HTTP service.

Open-source, agent-friendly BI: define metrics and dashboards in YAML and SQL, and rill init generates project instructions and MCP config for Claude Code so agents can build business dashboards and answer questions in natural language. Local use is free; publishing to Rill Cloud needs an account.

Python library with a built-in MCP server for US SEC EDGAR data: search 10-K, 10-Q, 8-K and other filings and read XBRL-standardized financial statements, Form 4 insider trades and 13F holdings. Free with no API key; just set an EDGAR_IDENTITY.

MathWorks' official server that lets agents start your local MATLAB, write and run scripts and unit tests, and check code style and potential errors, for computing, simulation and data analysis. Needs a licensed MATLAB R2021a+ and the downloaded server binary.

Connects agents to live Jupyter notebooks: read, write, insert and execute cells and read multimodal outputs like charts, for interactive data analysis. Bring your own JupyterLab or JupyterHub; open source, maintained by Datalayer.