AI Agent Skills

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…

Logical Replication extension for PostgreSQL 17, 16, 15, 14, 13, 12, 11, 10, 9.6, 9.5, 9.4 (Postgres), providing much faster replication than Slony, Bucardo or Londiste,…

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

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

OctoTools: An agentic framework with extensible tools for complex reasoning

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

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.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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.