Tools

Turns a topic or article into a narrated explainer video in English or Chinese: research, script, voiceover, storyboard and per-shot animation, with subtitles and chapter cards. Needs Node.js, ffmpeg and Python; takes about 1-3 hours depending on length. Free for non-commercial use only.

Lets agents drive the open-source CAD app FreeCAD: create and edit part models in natural language, run Python scripts, capture views and run FEM structural analysis for mechanical and product design. Needs FreeCAD with the addon and its RPC server, plus uv; engineers should verify results.

Lets agents work in KiCad directly: draw schematics, place components and route boards (with Freerouting autorouting), create footprints and symbols, and search the JLCPCB parts library. Needs KiCad 9+, Node.js 18+ and Python; clone and build the repo, then register it.

Recognizes images or whole PDFs (including scans) with math formulas and tables into Markdown and LaTeX, strong on English and Chinese and supporting 80+ languages, handy for digitizing exams, lecture notes and study notes. An open-source Mathpix alternative that runs locally with Python.

Search and download arXiv papers and read the authors' LaTeX source section by section, export BibTeX and follow topic updates, with papers cached locally. No API key needed.

Microsoft's official skill collection: 170+ skills focused on Azure SDKs (Python, .NET, TypeScript, Java, Rust) and Microsoft Foundry development, plus plugins, custom agents and MCP configs. Microsoft recommends picking skills per project rather than installing them all.

A job-search collection of 20 skills: ATS resume optimization, tailoring resumes to specific roles, cover letters, LinkedIn profile tuning, interview prep and salary negotiation.

PDFMathTranslate 2.x (command pdf2zh_next), built on BabelDOC: translates papers and other PDFs while keeping formulas, charts, TOC and annotations, outputting translated and bilingual side-by-side versions. Uses a free translation channel by default, or your own OpenAI, DeepSeek or other API key.

Unified search across 20+ academic sources including arXiv, PubMed, bioRxiv, Semantic Scholar and OpenAlex, returning deduplicated, normalized results and downloading full text via open-access channels first. Most sources need no API key.

Replaces arXiv preprint entries in your .bib file with the official published versions from DBLP and ACL Anthology, keeping citation keys, to tidy references before camera-ready. Overwrites the file by default, so preview with --dry-run. Mainly covers CS venues; needs Python 3.10+.

From a single topic, the agent writes a storyboard, generates paper-cutout collage visuals, motion, narration, music and subtitles, and assembles a Vox-style explainer or ad with ffmpeg, checking with you on storyboard and style. Needs a prepaid Atlas Cloud API key, ffmpeg and Python.

Runs open image models like FLUX, Qwen Image and Z-Image locally on a Mac: text-to-image, reference-based edits, inpainting and upscaling, all on-device. Needs Apple Silicon and uv; the first run downloads models and is slow. Check each model's license before commercial use.

A video production workspace for Claude Code: scripting, AI voiceover, music, generated visuals and Remotion rendering to MP4, with explainer and product-demo templates. The full workflow needs the cloned repo and Node.js 18+; AI generation needs your own cloud GPU (e.g. Modal's free tier).

Four tools for real-time web search, page content extraction, site mapping and full-site crawling, available as a remote server or run locally. Maintained by Tavily; needs an API key or OAuth sign-in, and a free account is available.

Turns a paper's method description (text or PDF) or data files into publication-ready diagrams and plots, with several AI reviewer roles refining each figure. Needs an OpenAI or Gemini API key (billed per image), Python and uv. A community reimplementation, not by the original paper's authors.

Explains a codebase, feature, command or pull request to someone new to it as a PR Lens canvas: one plain sentence first, then a walkthrough that grows the diagram from two boxes to the whole picture, delivered as a shareable link. Requires the PR Lens skill and its npx CLI.

MiniMax's official CLI, built for agents: chat with MiniMax models from the terminal and generate images, video and speech, plus speech transcription, image understanding and web search. Works with the international platform. Requires a MiniMax Token Plan subscription.

Self-hostable long-term memory for agents, offering MCP, a REST API and a web dashboard: semantic search, knowledge graph and automatic memory consolidation. Embeddings are computed locally; choose SQLite, Cloudflare or Milvus as the backend.

Drives SolidWorks from prompts: part modeling, assemblies, drawings and STEP/DXF/PDF export, with multi-view previews for self-checks. A capability list marks what's verified; sheet metal, weldments and FEA are pilots needing engineer review. Needs Windows, Python 3.10+ and licensed SolidWorks.

Local text-to-speech CLI built on the open Kokoro model: batch-converts TXT, EPUB and PDF to MP3 or WAV by chapter, with multiple languages, voice blending and speed control; handy for audio versions of course materials. Needs Python 3.11-3.12 and two model files downloaded first.

The official W3C conformance checker for EPUB, maintained by the DAISY Consortium: finds issues that break the EPUB 2/3 specs and outputs a report, so self-publishing authors and editors can check books before release. Needs Java; download a release and run it with java -jar.

Higgsfield's official skills: generate images, video and voiceover from a single prompt for product shots, e-commerce hero images, YouTube thumbnails, brand guidelines and narrated explainers. Requires the Higgsfield CLI and a signed-in account; generations use account credits.

Adapts an explanation to its audience, from a 5-year-old to a high schooler, college student, parent or executive, adjusting vocabulary, analogies, tone and depth. Useful for teachers, parents and explaining expert topics to laypeople. No account or extra software needed.

A three-stage workflow for math modeling contests like MCM/ICM and CUMCM: analysis, solving and plotting in Python or MATLAB, and a Word (optionally LaTeX) paper, with stage-check subagents and OpenAlex plus AnySearch literature search. Generated papers are for reference only.