AI Agent Skills

Buddhist Master-skill powered by FoJin — 三大传统（汉传/藏传/南传）祖师大德 AI 教学角色生成器，CBETA / BDRC / SuttaCentral 引证

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution

PMetal: high-performance Apple Silicon framework for local LLM inference, LoRA/QLoRA fine-tuning, serving, quantization, and MLX/Metal acceleration.

Self-evolving multi-agent "newsroom" that turns your documents into a cross-linked knowledge wiki — writer ≠ reviewer, local-first, no API keys, a structured alternative…

Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and in…

Chat with your documents using local AI

Run more RL experiments. Wait less for GPUs.

Comprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Us…

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈 出品

基于python和llm大模型开发的数据处理和任务调度系统。 支持数据源管理，数据模型管理，数据集成，数据查询API接口，低代码自定义数据处理任务模版，单任务及dag任务工作流调度等功能。集成了llm模块实现rag知识库问答，链接各数据源数据进行数据对话问答，交互式数据分析功能。

Ingest GitHub Copilot CLI session history into an Obsidian wiki as distilled knowledge pages. Use this skill when the user wants to capture their Copilot CLI sessions in…

A @ClickHouse fork that supports high-performance vector search and full-text search.

A universal, industry-neutral taxonomy of cognitive core skills (perception, memory, reasoning, planning, action, verification, learning, governance) for LLMs, SLMs, AI…

五运六气 AI Agent 技能包 — 中医运气学说推算引擎。干支推算 + 六气步移 + RAG五层知识库(104键) + ReAct推理工作流 + 自进化引擎。支持 Claude Code/Codex CLI/Cursor/Cline/OpenClaw 等 AI 客户端。

Real-time visualization of Claude Code agent orchestration — see your agents think, branch, and coordinate as they work.

Foam-Agent: An end-to-end, composable multi-agent framework for automating CFD simulations in OpenFOAM. NeurIPS 2025 Machine Learning and the Physical Sciences Workshop.