AI Agent Skills

Implement a reasoning LLM in PyTorch from scratch, step by step

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for prof…

OctoTools: An agentic framework with extensible tools for complex reasoning

Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatori…

BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model | NeurIPS '25

基于 Gemini 的可视化多智能体深度推理引擎 | A visual multi-agent deep reasoning engine powered by Gemini, featuring dynamic planning, chain-of-thought visualization, and multi-session ma…

Keep the Why: a repo-native convention and agent skill that preserves the reasoning behind a codebase as a byproduct of working with your agent — so it stops re-suggesti…

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Stock analysis skill for market research and financial reasoning workflows.

Autonomous penetration testing using a swarm of AI agents. Orchestrates recon, classification, exploitation, and reporting specialists with ReAct reasoning — supports bu…

Probabilistic reasoning and statistical analysis in TensorFlow

Multi-agent systems, memory, planning, reasoning loops

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug…

Semantica 🧠 — AI-native knowledge graph intelligence framework for semantic retrieval, ontology reasoning, context graphs, and explainable AI systems.

After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails,…