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Startup business analysis plugin with 5 skills, 3 commands and a subagent: TAM/SAM/SOM market sizing, 3-5 year financial models, team and compensation planning and competitive landscape analysis, producing investor-ready business case documents.

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.

Backend development plugin with 8 subagents for backend architecture, GraphQL, event sourcing, Temporal, TDD orchestration and more, a feature development command, and 9 skills on API design, microservices, CQRS, sagas and more. Part of the wshobson/agents marketplace.

Plugin for building LLM apps: LangGraph agents with memory and tool use, hybrid-search RAG, vector index tuning, prompt optimization and LLM evaluation. Includes 3 subagents and 8 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.

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.

Context-driven development plugin: first captures product vision, tech stack and workflow docs, then generates a spec and phased plan for each feature, executes with TDD and supports per-task rollback. Ported from Google's Conductor for Gemini CLI.

Test-driven development plugin: /tdd-workflows:tdd-cycle and related commands move through red-green-refactor phases with a checkpoint for approval at each, plus TDD orchestrator and code reviewer subagents. Part of the wshobson/agents marketplace.

Orchestrates multi-agent teams using Claude Code's experimental Agent Teams feature: parallel multi-angle code review, competing-hypothesis debugging and feature work split by file ownership. Enable CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS first.

The 180+ skills bundled with the 90+ plugins in the wshobson/agents marketplace, covering development across many languages and frameworks, testing, ops, security, data and LLM apps. Install individually with npx skills or gh skill; skills only, without subagents or commands.

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.

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 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.

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.

Official Anthropic LBO modeling skill: builds sources and uses, operating projections, debt schedule and IRR/MOIC returns in an Excel template, with every calculation as a formula and each section checked with you. Works in the Excel add-in or generates files with local Python; needs expert review.

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 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.