ツール

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.

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.

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 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 fund admin skill: matches general ledger and subledger exports for a date or period line by line, lists mismatched amounts, quantities, posting dates and one-sided entries, suggests causes such as timing, FX or mapping, and writes a break report. Needs accountant review.

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 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: 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.

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 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.

Builds M&A accretion/dilution models: sources and uses, pro forma EPS and goodwill amortization impact, with sensitivities on synergies, premium and cash/stock mix, in an Excel workbook. You supply share prices, EPS and deal terms. From Anthropic's investment-banking plugin; needs expert review.

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.

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.

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.

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.

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.

Local model gateway that routes requests from Claude Code, Codex and other coding agents to providers like DeepSeek, Kimi, Gemini and OpenRouter, with failover, rule-based routing and request logs. Bring your own API keys.

Headless browser written from scratch in Zig for AI agents and automation, using less memory and running faster than headless Chrome in official benchmarks. fetch turns pages into Markdown, and it can serve CDP or MCP. Telemetry is on by default (an env var disables it); Windows needs WSL.

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.

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.

Lightweight command-line JSON processor that slices, filters, maps and transforms JSON with concise expressions and no runtime dependencies. A staple for agents parsing API responses and logs.

Official CLI for Tencent's open-source knowledge base platform WeKnora: upload documents, manage knowledge bases, run hybrid search and answer questions from them, or serve as a read-only MCP. Needs your own WeKnora deployment and a source build with Go 1.26+.