Tools

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+.

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.

Open-source, agent-friendly BI: define metrics and dashboards in YAML and SQL, and rill init generates project instructions and MCP config for Claude Code so agents can build business dashboards and answer questions in natural language. Local use is free; publishing to Rill Cloud needs an account.

AWS's generally available agent toolkit and plugin marketplace: plugins such as aws-core, aws-agents and aws-data-analytics bundle the AWS MCP Server with evaluated skills for IaC, serverless, containers and billing. Calling AWS APIs requires configured credentials.

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.

Postgres rules ranked by impact: query optimization, indexing, connection pooling, RLS security, schema design and lock troubleshooting, with wrong-vs-right SQL examples, applicable to any Postgres. Maintained by Supabase.

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.

Bright Data's official MCP: web search (Google, Bing, Yandex), any page to Markdown, structured data extraction from e-commerce, social and other platforms, and remote browser control. Needs an API token; includes 5,000 free requests a month.

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.

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.

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.

A CLI and Python library by Simon Willison: imports JSON and CSV straight into SQLite with automatic table creation, runs in-memory SQL queries over files, and supports full-text search and table transformations.

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.

Recommends daily papers from arXiv and Semantic Scholar by research interest, reads them and writes illustrated Obsidian notes and a paper graph; can also search venues like CVPR and NeurIPS. Needs Python 3, Obsidian, a vault path and an interests config; the web app needs an Anthropic API key.

MathWorks' official server that lets agents start your local MATLAB, write and run scripts and unit tests, and check code style and potential errors, for computing, simulation and data analysis. Needs a licensed MATLAB R2021a+ and the downloaded server binary.

Uses the Qdrant vector database as a semantic memory layer for agents: store information and retrieve it by meaning, connecting to a remote instance or a local path, with FastEmbed generating embeddings by default. Maintained by Qdrant.

Connects LLMs to ROS and ROS 2 robots: publish and subscribe to topics, call services and actions, set parameters, and read sensor and robot state, without changing robot code. The robot side needs rosbridge running.

KiCad design review skills: parse schematics, PCBs and Gerbers, trace the power tree, catch common mistakes, run SPICE simulation and EMC pre-checks, and tidy the BOM. Needs Python 3.10+; simulation needs ngspice; DigiKey needs API credentials. EMC pre-checks don't replace certification.

Gives agents controlled access to MySQL: list databases and tables, inspect schemas and sample data, and run SQL, with multi-database mode, SSL and SSH tunnels. Configure your own database user, ideally with least privilege.

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.

Connects agents to live Jupyter notebooks: read, write, insert and execute cells and read multimodal outputs like charts, for interactive data analysis. Bring your own JupyterLab or JupyterHub; open source, maintained by Datalayer.

Pulls new papers from Hugging Face Daily Papers and arXiv, scores them by research area into a recommendation page, and writes deep-read Obsidian notes for key ones; can also batch-read Zotero collections. Needs Python 3, Obsidian and poppler; copy the whole skills folder per the README.

LangChain's official skill collection: framework selection, quickstarts, middleware, persistence, human-in-the-loop approval, RAG and eval design across LangChain, LangGraph and Deep Agents, in Python and TypeScript. Also installable as a Claude Code plugin. Still in early development.

The standard machine translation scorer: computes BLEU, chrF and TER with significance tests and downloads public test sets such as WMT, to compare engines or prompts. Needs Python 3.9+ and reference translations; automatic metrics are a rough screen, so final copy still needs human review.