도구

Anthropic's official finance agent plugin: builds DCF, LBO, three-statement and comps models from scratch in Excel from a ticker and assumptions, all in formulas with built-in audits and sensitivity analysis. Historicals and consensus come from CapIQ and Daloopa MCPs (subscriptions).

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 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.

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.

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 finance agent plugin for fund accounting: reconciles the general ledger and subledger by trade date, lists breaks, traces causes and builds an exception report for sign-off without posting. Runs in Claude Code or Cowork; connect your own GL and subledger data via MCP.

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.

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.

Anthropic's official finance agent plugin: runs month-end close for an entity and period, producing accrual details and draft journal entries, roll-forward reconciliations and P&L and balance sheet variance commentary, packaged for controller approval without posting. Needs a GL data source.

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).

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.

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.

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.

Builds the month-end accrual schedule: calculates each accrual for the period under company policy, notes the basis and drafts journal entries; drafts only, never posts, for controller review. A skill in Anthropic's official fund-admin plugin; supply your accrual policy list and GL data.

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.

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.

Meeting minutes skill from GitHub's awesome-copilot: turns notes, transcripts or speech-to-text output into structured minutes with attendees, agenda, decisions and action items with owners and due dates, asking when details are missing. Best for internal meetings under an hour.

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.

PostHog's official hosted MCP: lets agents query product analytics with HogQL, manage feature flags and A/B experiments, and investigate errors and session replays. Sign in to PostHog to authorize; tool calls are free, though a few LLM-powered tools count toward AI usage.

ByteDance's open-source multimodal agent CLI: operates browsers via vision or the DOM and calls terminal, file and MCP tools to complete tasks, with a Web UI and headless server mode. Needs Node.js 22+ and a model API key.

Browser automation MCP server open-sourced by ByteDance in the UI-TARS-desktop repo: drives pages through Puppeteer accessibility data with an optional vision mode, running locally over stdio or remotely over SSE or Streamable HTTP.

When a user asks whether a skill exists for some task, searches the skills.sh ecosystem with the skills CLI, then recommends and installs a fit. Maintained by Vercel Labs and shipped in the skills CLI repo.

Package manager for the open Agent Skills ecosystem: one command installs skills from GitHub and other sources into Claude Code, Codex, Cursor and dozens more agents, with search, update and removal. From Vercel Labs.

Detects your CPU, memory and GPU and scores open models on whether they run, speed, quality and context, then works with local runtimes like Ollama, llama.cpp and MLX to download and benchmark them. recommend --json gives agent-friendly output.