Sandbase Skills alternatives

Sandbase Skills (sandbaseai/sandbase-skills): SandBase Skills is a Python-based repository of 245 installable Agent Skills, each an instruction file that teaches an AI agent one repeatable research, social, marketing, or business workflow. See its 5 use cases.

Similar repos

1. Scientific Agent Skills K-Dense-AI/scientific-agent-skills · Python · 53,781 stars
   A library of 177 Agent Skills that give AI agents documented, validated guidance for scientific packages, databases, and research workflows. Scientists, lab staff, and developers who want an AI coding agent to handle science tasks using curated skill documentation.
   4 use cases, for example Pull compound and protein records with source provenance
2. PersonaPlex NVIDIA/personaplex · Python
   PersonaPlex is NVIDIA's real-time, full-duplex speech-to-speech conversational model based on Moshi that controls persona through text role prompts and audio voice conditioning. Speech AI researchers and developers building low-latency voice agents with a consistent persona.
   3 use cases, for example Talk to a full duplex voice agent in your browser
3. PageIndex VectifyAI/PageIndex · Python
   PageIndex is a vectorless, reasoning-based RAG system that builds a tree index of long documents and lets an LLM search it like a human reader, with local and cloud SDK modes. Developers building question answering over long documents such as financial reports, where chunked vector search loses context.
   3 use cases, for example Ask questions of a long PDF without a vector database
4. Book to Skill virgiliojr94/book-to-skill · Python
   book-to-skill is an agent skill that turns a technical book PDF, a document folder or a set of sources into a unified skill for Claude Code, Codex, Copilot CLI, Amp, OpenCode and other agents. Developers who want their coding agent to study and reference a technical book while they work.
   3 use cases, for example Turn a technical book into a skill your agent can use
5. Scientific Figure Library xuzhougeng/ScientificFigureLibrary · TypeScript
   Scientific Figure Library is a local-first MCP server and MCP App that lets you import, review and publish scientific figure templates with their code to one global library on disk and reuse exact versions across agent hosts. Researchers who make figures with code and want reusable, versioned templates across projects and AI agents.
   3 use cases, for example Keep a versioned library of your figure templates
6. Last30days Skill mvanhorn/last30days-skill · Python
   /last30days is an agent skill that researches any topic across Reddit, X, YouTube, Hacker News, Polymarket, GitHub and many other sources in parallel, scores results by real engagement such as upvotes, likes and prediction market money, and has the agent write one brief on what happened in the last 30 days. Reddit, HN, Polymarket and GitHub work with zero config; a setup wizard unlocks more sources. Anyone who needs the last month's real conversation on a person, company, ticker or trend before a meeting, a trade idea or a launch.
   3 use cases, for example Brief yourself on a person before a meeting
7. Answer Me with HTML QingYunA/answer-me-with-html · JavaScript · 4,376 stars
   Answer me with HTML is an agent skill that answers hard questions with a readable one-page HTML file instead of a wall of text. The agent writes a short Markdown draft and a bundled CLI turns it into a page with diagrams and styling in about 50 ms, so the model writes roughly 1/8 of the tokens hand-written HTML would need. It can also make explainer videos, works offline as one file, and installs in Claude Code and other agents. People who ask coding agents to explain systems, compare options or map a codebase and want something they can actually read and share.
   3 use cases, for example Get a one-page visual explainer instead of a wall of text
8. Trustworthy Agent Simulation apromisedland/trustworthy-agent-simulation · Python · 101 stars
   An auditable, configurable LLM multi-agent town simulation built on AgentScope and Mesa, with replay, policy experiments and a local Streamlit dashboard. Researchers and developers who want to run, inspect, replay or compare synthetic town simulations, with or without a real model.
   5 use cases, for example Run the default town and inspect it in the dashboard

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