aibuildai-inc/aibuildai-knowledge-base
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AIBuildAI Knowledge Base: curated skills for building AI models, served to agents over MCP
개요
The is a curated library of knowledge for building AI models of every kind, from computer vision and scientific AI to large language models. When an AI agent faces a design decision, such as which model architecture fits the task, which dataset to use, which training method to apply, or how to run a framework, it queries the knowledge base over MCP and reads what has worked, what has failed, and under which conditions. This repository is its source code: the retrieval service, the skill corpus, and the offline pipelines that build the corpus. The service only retrieves. It returns material, never decisions, and the calling agent designs from what it reads, so building the index needs no LLM, only text splitting and embedding. A fixed snapshot of this corpus is served publicly at https://32.194.230.84/open, the default knowledge base address of AIBuildAI agents. The knowledge base holds one kind of knowledge, the : a SKILL.
README
원문 README의 일부입니다. 원문 보기.
AIBuildAI Knowledge Base
The AIBuildAI Knowledge Base is a curated library of knowledge for building AI models of every kind, from computer vision and scientific AI to large language models. When an AI agent faces a design decision, such as which model architecture fits the task, which dataset to use, which training method to apply, or how to run a framework, it queries the knowledge base over MCP and reads what has worked, what has failed, and under which conditions. This repository is its source code: the retrieval service, the skill corpus, and the offline pipelines that build the corpus.
The service only retrieves. It returns material, never decisions, and the calling agent designs from what it reads, so building the index needs no LLM, only text splitting and embedding. A fixed snapshot of this corpus is served publicly at https://32.194.230.84/open, the default knowledge base address of AIBuildAI agents.
The corpus
The knowledge base holds one kind of knowledge, the skill: a SKILL.md with a description in its frontmatter and a markdown body, plus the reference files it carries, such as knowledge cards, paper summaries, modeling principles and code examples. A skill lives at data/corpus/plugins///skills//, and that triple is its address.
The corpus covers AI model building broadly, and post-training large language models is one area it treats in depth: a dedicated collection walks an agent through a post-training run, from choosing training data and a method to running it on a framework.
| Plugin | Skills | Reference files | What it covers |
|---|---|---|---|
aibuildai-awesome-lists |
460 | 110,640 | Domain knowledge from curated awesome lists: papers and tools per research area |
aibuildai-playbooks |
44 | 4,004 | Domain playbooks distilled from top solution write-ups for AI modeling tasks |
aibuildai-huggingface |
11 | 59 | The Hugging Face ecosystem: Hub datasets and models, trainers, evaluations, Gradio apps |
aibuildai-posttrain |
4 | 479 | Post-training a base language model: the workflow of one run, training data, methods, and frameworks |
aibuildai-github |
1 | 9 | Repositories for building AI models for molecular property prediction and drug discovery |
The 460 awesome-list skills span the major areas of AI:
| Area | Skills | Reference files |
|---|---|---|
| Computer Vision | 88 | 19,614 |
| Learning Paradigms & Architectures | 60 | 15,676 |
| Multimodal & Embodied AI | 58 | 12,359 |
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설치
npx skillfish add aibuildai-inc/aibuildai-knowledge-base