Tools

Plans teams for seed to Series A startups: which roles to hire at each stage and in what order, org structure, plus salary, equity ranges and headcount budget. Compensation benchmarks are 2024 US market data; adjust for your market and have finance and legal review the plan.

MLOps plugin from the wshobson/agents marketplace: data scientist, ML engineer and MLOps engineer subagents and a /ml-pipeline command that runs the pipeline in phases from data analysis and training to deployment and monitoring, plus ML pipeline and recommender system skills.

Data engineering plugin from the wshobson/agents marketplace: a data engineer subagent, a data pipeline command, and skills for Airflow DAGs, dbt transformations, Spark tuning and data quality, to help build ETL and data warehouses.

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.

Multi-host plugin marketplace with 90+ single-purpose plugins, 200+ subagents and 180+ skills covering language-specific development, ops, security, data and multi-agent orchestration. Installing a plugin loads only that plugin's content.

Kubernetes operations plugin from the wshobson/agents marketplace: a kubernetes-architect subagent plus four skills for manifest generation, Helm chart scaffolding, GitOps workflows and security policies. Community-maintained.

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.

Cross-platform shell built around structured data: pipelines pass tables instead of plain text, and you can open and query JSON, CSV, TOML and more directly. Default builds include nu --mcp, which serves it to agents as an MCP server.

Send files and folders between any two computers with one command: end-to-end encryption (PAKE), direct peer-to-peer with relay fallback, resumable transfers and proxy support, with no server setup or port forwarding.

Core financial modeling plugin: builds DCF, LBO, three-statement and comps models, reviews Excel models and banking decks, and centrally configures financial data connectors. The foundation plugin of Anthropic's official financial services suite.

Anthropic's official investment banking plugin: drafts CIMs, blind teasers, process letters and buyer lists, builds one-page company profiles and pitch decks, runs accretion/dilution merger models and tracks deals. Installing the financial-analysis core plugin first is recommended.

Anthropic's official investment banking agent plugin: for a target and deal situation, pulls comparable companies and precedent transactions, builds DCF, LBO and football field valuations, then fills the bank's PowerPoint template and checks the pitch. Data comes from the CapIQ MCP (subscription).

Anthropic's official fund administration plugin covering GL reconciliation and break tracing, accrual schedules, roll-forwards, variance commentary and NAV tie-outs, for fund operations and finance teams.

Anthropic's official private equity plugin covering deal sourcing with CRM dedupe, founder outreach, quick CIM screening, diligence checklists, IRR/MOIC returns analysis, IC memos and portfolio monitoring.

Partner plugin from the London Stock Exchange Group: with LSEG data connected, 8 commands cover bond relative value, swap curves, FX carry, option volatility, fixed income portfolios, Treasury futures basis and macro rates analysis. Needs an LSEG account and data entitlements.

Partner plugin from Kensho, part of S&P Global: uses Capital IQ data to produce one- to two-page company tearsheets as Word docs, earnings previews, and M&A deal summaries by sector or company. Needs a Capital IQ Pro or S&P LLM-ready API subscription; needs expert review.

Converts PDFs, images, PPTX, DOCX, XLSX, EPUB and more into Markdown, JSON or HTML, preserving tables, formulas and layout, with optional LLM help for higher accuracy. Needs Python 3.10+ and PyTorch; large-scale commercial use of the model weights needs a paid license.

Completes and populates three-statement financial model templates, linking the income statement, balance sheet and cash flow with formulas and checking that the balance sheet balances and cash ties out, with no hardcoded values. Part of Anthropic's official financial-analysis plugin.

Anthropic's official financial services skills for investment banking, equity research, private equity, fund admin and wealth management: comps, DCF, LBO, three-statement models, CIMs, earnings reviews, IC memos, GL reconciliation and more. Outputs need expert review.

Anthropic's official fund admin agent plugin: reads GP valuation packages, reviews each portfolio company's valuation against the template, calculates fund NAV, carried interest and LP distributions, and assembles LP reports for review. Connect your own portfolio data sources.

Official Anthropic finance skill that checks Excel for formula errors like #REF!, numbers hardcoded in formulas, sum ranges that miss rows and mixed units; on full models it also checks the balance sheet balances and cash ties. Lists issues and fixes and asks before changing anything.

Official Anthropic comparable company analysis skill: selects listed peers, compiles operating metrics and multiples like EV/EBITDA and P/E with percentiles, and outputs a comps table in Excel for valuation, IPO or financing pricing. Prefers paid sources like FactSet but can use SEC filings.

Builds a DCF valuation in Excel: pulls figures from SEC filings and research, projects free cash flow, computes WACC and terminal value, and adds sensitivity tables. Derived values are formulas, inputs cite sources, and each step is confirmed with you. From Anthropic's financial-analysis plugin.

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.