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Methodology reference for US SOX 404 internal control audits: scoping significant accounts, sampling methods, workpaper and evidence standards, and classifying deficiencies, significant deficiencies and material weaknesses. Not audit or legal advice; needs professional review. By Anthropic.

Finance and accounting plugin: prepares journal entries, reconciles accounts, generates income statements, runs variance analysis, manages month-end close and supports SOX audit testing. Can pull data from ERPs and data warehouses. Official from Anthropic.

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.

Generates people analytics reports from employee data: headcount snapshots, voluntary and involuntary attrition, diversity metrics, spans of control and flight risk, with findings and recommendations for leadership. Needs an uploaded employee CSV or a connected HRIS. Official from Anthropic.

Breaks budget-versus-actual, year-over-year and month-over-month variances into volume, price and mix drivers, filters by materiality thresholds, writes variance commentary and provides waterfall breakdowns for monthly business reviews. From Anthropic's official finance plugin.

Helps finance teams run month-end close: a close checklist sequenced from T+1 to T+5, task dependencies and critical path, a progress tracker and tips to shorten the close, useful for close calendars and status tracking. Needs professional review. Part of Anthropic's official finance plugin.

Adds a searchable, copyable text layer to scanned PDFs, with automatic deskew, rotation and size optimization, outputting PDF/A by default. Built on Tesseract, supports 100+ languages and runs fully locally.

For internal auditors running SOX tests: lists key controls by area (revenue, procure-to-pay, payroll, close, ITGC) and period, sets sample sizes, samples from your population, and generates test workpaper templates and deficiency assessments. Needs professional review. Official from Anthropic.

Runs the cognee memory engine as an MCP server whose remember, recall and forget tools write documents and conversations into a knowledge graph and vector store for cross-session retrieval. Start it with Docker or uv first; needs an LLM API key by default, or connect to Cognee Cloud.

Office command-line tool built for AI agents: a single binary that creates, reads and edits Word, Excel and PowerPoint files without Office installed, and renders them to HTML or PNG so agents can check the layout.

Writes conversations and business data into Graphiti's temporal knowledge graph so agents can retrieve long-term memory by entity, fact and time. Open source from Zep; start FalkorDB or Neo4j and the server with Docker first, and configure an LLM API key.

Turns websites and Electron desktop apps into deterministic CLIs, with built-in adapters for Reddit, Hacker News, Bilibili, Zhihu, Xiaohongshu and more, and lets agents operate any page through your signed-in Chrome. Needs its companion browser extension.

Official CLI (actual) for the local-first budget app Actual Budget: query and edit accounts, transactions, categories, payees, rules and budgets on your sync server, with JSON output and CSV export for agent bookkeeping. Needs Node.js 22+ plus your server URL, password and budget Sync ID.

A virtual executive team for founders: 33 skills act as CEO, CFO, CMO, CTO, legal and other advisors on strategy decisions, board materials, financial scenarios, M&A and org diagnostics, with Python analysis scripts. Persona subagents require the separate c-level-agents plugin.

Finance plugin: ratio analysis, DCF valuation, budget variance, revenue and cash-flow forecasts, SaaS metrics like ARR, churn, LTV and CAC, and peer-comparison fundamentals for US and Indian listed companies. Includes Python scripts. Not investment advice; needs professional review.

Helps finance teams with ratio analysis, DCF valuation, budget variance analysis and rolling forecasts, using bundled Python scripts so the numbers can be recomputed. Needs Python locally and financial data prepared as JSON; have a professional review the results.

Financial research terminal agent, like Claude Code for finance: breaks company research questions into steps, pulls financial statements and market data, and self-checks before answering. Needs Bun, a model API key and a Financial Datasets API key; for learning and research only.

CLI and library for evaluating and red-teaming LLM apps: compare prompts and model outputs in bulk, scan for security vulnerabilities and plug into CI/CD, with evals running locally. Now part of OpenAI and still open source under MIT.

Google's official skill library and plugin marketplace: nearly 150 skills focused on Google Cloud (GKE, BigQuery, Cloud Run, IAM and more), plus 17 product plugins pairing skills with MCP for Cloud SQL, Spanner, AlloyDB, BigQuery, GCS and others.

Manages BigQuery datasets, tables and jobs with the bq and gcloud CLIs, runs SQL queries and loads data, with references for client libraries, MCP and Terraform. Google's official skill; requires a Google Cloud project.

Google's official skill library, focused on Google Cloud: 100+ skills for gcloud, Cloud Run, GKE, BigQuery, IAM, monitoring and logging, and the Well-Architected Framework, plus Ads and Analytics.

Google's official skill that queries account data through the Google Ads MCP server to diagnose conversion drops, falling leads and impression share lost to bids, budgets or ad rank. Needs a Google Ads account, API credentials (developer token and OAuth) and Python 3.12.

Industrial-grade open-source speech recognition toolkit from Alibaba's ModelScope, with an agent-friendly funasr command that turns audio into text, JSON or SRT subtitles in one step, with speaker diarization and timestamps. Strong on Chinese. Requires PyTorch.

AI2's tool for converting PDFs and scans to Markdown with a vision LLM, handling equations, tables, handwriting and multi-column layouts, suited to bulk digitizing papers and archives. Local runs need an NVIDIA GPU with 12GB+ VRAM; otherwise use a paid OpenAI-compatible remote endpoint.