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C/C++ port of OpenAI's Whisper speech recognition model that transcribes audio offline and outputs subtitles. Runs on CPU, with Apple Silicon and various GPU acceleration. Download a ggml-format model first.

Astral's extremely fast Python linter and formatter written in Rust, replacing Flake8, isort and Black, with 900+ built-in rules and auto-fix.

Terminal multiplexer: run multiple sessions and panes in one terminal, with processes surviving disconnects. Agents use it to host long-running tasks and drive interactive programs, and many parallel multi-agent session tools build on it.

Microsoft's open-source AI quant investment research platform: the qrun command runs dataset building, model training, backtesting and evaluation from a YAML config, with many benchmark models. The official dataset is paused, so prepare market data per the README first.

Creates or improves Agent Skills from scratch: writes eval cases to test them, runs benchmarks with variance analysis, and tunes descriptions for more accurate triggering. Maintained by Anthropic.

Designs and builds MCP servers: first picks a deployment model among remote HTTP, MCPB bundles and local stdio, then guides tool design, auth and in-chat interactive components. Maintained by Anthropic.

Connects Claude Code to the Pyright language server for static type checking and code intelligence in Python. Install pyright first with npm, pip or pipx. Official Anthropic plugin.

Official Asana plugin in Claude's plugin marketplace: connects Claude Code to the Asana V2 MCP server to create and manage tasks, search projects, change assignees and track progress. Create your own Asana OAuth app first, then run /asana-setup after installing.

Official Anthropic plugin that reads local session logs in ~/.claude/projects and generates an interactive HTML usage report covering tokens, cache hit rate, subagents, skills and the most expensive prompts, with optimization tips. Needs Node.js.

Lightweight multi-protocol command-line downloader that fetches in parallel segments from multiple sources over HTTP(S), FTP, SFTP, BitTorrent and Metalink. Resumes downloads, reads URLs in bulk from text files and offers a JSON-RPC interface for scripts or agents.

Plans teams for seed to Series A startups: which roles to hire at each stage and in what order, org structure, plus salary, equity ranges and headcount budget. Compensation benchmarks are 2024 US market data; adjust for your market and have finance and legal review the plan.

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.

Business analytics plugin from the wshobson/agents marketplace: KPI dashboard design and data storytelling skills plus a business analyst subagent to choose metrics, plan dashboard layouts and turn data into reports executives or investors understand. Methods and templates only; no data connections.

MLOps plugin from the wshobson/agents marketplace: data scientist, ML engineer and MLOps engineer subagents and a /ml-pipeline command that runs the pipeline in phases from data analysis and training to deployment and monitoring, plus ML pipeline and recommender system skills.

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.

MCP built into the open-source social media scheduler Postiz: agents draft, schedule and publish posts and view analytics across 30+ platforms including X, LinkedIn, Instagram and YouTube. The cloud version uses browser OAuth, no API key (paid after a 7-day trial); self-hosting is free.

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.