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Classic open-source OCR engine and CLI that reads text from images and outputs plain text, hOCR, searchable PDF or TSV. Supports 100+ languages; install the language data for each language you need.

All-in-one LLM fine-tuning framework: llamafactory-cli handles pretraining, SFT, PPO/DPO alignment and LoRA/QLoRA training, plus chat inference, weight merging and export, and OpenAI-style API serving for 100+ open models. Has a Web UI; training usually needs a GPU.

Command-line edition of the open-source OpenBB investment research platform: query stock prices, financial statements, macroeconomic and other financial data from the terminal, and automate data pulls with Routine scripts. Officially maintained; some sources need API keys.

Parses PDF, DOCX, PPTX, XLSX, HTML, images and audio, recovering layout, reading order, tables and formulas, and exports Markdown, HTML or lossless JSON. Started by IBM Research, now hosted by the LF AI & Data Foundation; runs fully locally.

Searches Reddit, X, YouTube, Hacker News, Polymarket and more in parallel for the past 30 days of discussion on a topic, scores it by engagement and summarizes it into a brief. Good for market research and meeting prep. Needs Python 3.12+; some sources need API keys.

Command-line toolkit for transcoding, cutting, joining, frame extraction and streaming of audio and video, including ffmpeg, ffprobe and ffplay. A core dependency for agents handling media. The GitHub repo is the official mirror.

'rsync for cloud storage': sync and copy files across dozens of providers such as S3, Google Drive, OneDrive and Alibaba Cloud OSS, with encryption and mounting. Set up remotes with rclone config before use.

Writes or rewrites marketing copy for homepages, landing pages, pricing pages and more: first clarifies page goals, audience and selling points, then produces headlines, value propositions and calls to action. From the marketingskills collection.

Diagnoses website SEO issues: checks crawling and indexing, Core Web Vitals, metadata and on-page content, and gives prioritized, actionable fixes. From the marketingskills collection.

Helps subscription products reduce churn: designs cancellation flows, save offers and exit surveys, spots churn risk signals, and plans dunning and win-back emails after failed payments. For customer success, lifecycle and growth teams; billing platforms like Stripe need setup on your side.

Marketing skill collection: 50 skills covering SEO audits, conversion optimization, landing page copy, pricing, paid ads, email and social media, all sharing a common product marketing context. Supports Claude Code, Codex and more.

AI search optimization (AEO/GEO) skill from the marketingskills collection: checks whether ChatGPT, Perplexity and Google AI Overviews cite your content and suggests rewrites and structure that AI can extract and cite more easily, including llms.txt and structured data.

Edits and refreshes existing marketing copy in seven sweeps: clarity, voice, value, proof, specificity, emotion and objection handling, keeping the meaning and author's voice. Can also audit and update stale pages. Complements the copywriting skill; from marketingskills.

Paid ads advisor: plans campaigns on Google Ads, Meta, LinkedIn, X and more, covering audience targeting, bidding and budgets, account diagnostics and ROAS/CPA optimization. From the marketingskills collection; needs no API key itself.

Conversion rate optimization skill from the marketingskills collection: give it a homepage, landing page, pricing page or form and it diagnoses value proposition, headlines, CTAs, trust signals and friction, returning quick wins, high-impact changes, A/B test ideas and alternative copy.

From HKU's Data Intelligence Lab: plugins or skills for Claude Code, Codex and other agents generate agent-callable CLIs for apps like GIMP, Blender and LibreOffice, and the cli-hub package manager finds and installs ready-made community CLIs. Needs Python 3.10+.

Open-source crypto trading framework: download market data, backtest and optimize strategies, and paper trade from the CLI while agents iterate on strategies. Docker recommended; strategies need Python and live trading needs exchange API keys. Backtests don't guarantee returns.

General-purpose AI agent that runs on your machine, with a desktop app, CLI and API. Written in Rust, works with 15+ model providers and connects to 70+ extensions via MCP. Originally from Block, now part of the Linux Foundation's AAIF.

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.

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.

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.