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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.

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.

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.

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.

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.

Writes product requirement docs for software and AI features: first asks about the problem, success metrics and constraints, then outputs an executive summary, user stories, technical specs and risk analysis with measurable requirements. From GitHub's awesome-copilot community library.

Turns a new epic idea into a PRD: problem and goals, personas, user journeys, functional and non-functional requirements, success metrics and out-of-scope items, asking questions when information is missing, saved as Markdown. From GitHub's awesome-copilot collection.

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.

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.

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.

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.

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.

Give it a person's name or a vague need and it researches and distills their mental models, decision style and voice into a callable persona skill (e.g. Munger, Feynman, Jobs) to aid analysis and decisions. Works with Claude Code, Codex and other agents.

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.

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.

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+.

Claude Code plugin for Next AI Draw.io that starts its Draw.io MCP server via npx. Generate and edit flowcharts, architecture and sequence diagrams in plain language, with live browser preview, version history and .drawio export. Needs Node.js.

Lets agents create and edit draw.io diagrams such as flowcharts and architecture diagrams in plain language, with live browser preview, version history and export to .drawio, PNG or SVG. Includes an embedded server; runs locally with no API key.

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.

Month-end reconciliation for small businesses: matches QuickBooks or Xero line by line against PayPal, Stripe and Shopify payouts, flags likely duplicates and missing receipts, explains the P&L in plain terms and exports a close package (Excel and PDF). CSVs work too. Official from Anthropic.

Turns a feature idea or problem statement into a structured spec or PRD with goals and non-goals, user stories, success metrics and acceptance criteria, and can split large requests into phases. From Anthropic's official product-management plugin.