Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Create, Evaluate, and Connect AI Skills
| Date | Stars |
|---|---|
| 2026-07-24 | 1112 |
| 2026-07-25 | 1112 |
| 2026-07-28 | 1112 |
| 2026-07-30 | 1112 |
| 2026-08-06 | 1112 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center">
<a href="http://skillnet.openkg.cn/">
<img src="images/skillnet.png" width="190" alt="SkillNet Logo">
</a>
# SkillNet
**Open infrastructure for discovering, evaluating, composing, and orchestrating reusable AI agent skills.**
<p>
SkillNet treats agent skills as software assets: searchable, installable, inspectable, evaluable, and composable.
</p>
[](https://pypi.org/project/skillnet-ai/)
[](https://github.com/zjunlp/SkillNet)
[](https://opensource.org/licenses/MIT)
[](https://www.python.org/downloads/)
[](https://arxiv.org/abs/2603.04448)
[](https://huggingface.co/blog/xzwnlp/skillnet)
[](http://skillnet.openkg.cn/)
[Website](http://skillnet.openkg.cn/) · [Python SDK](./skillnet-ai) · [Examples](./examples) · [Experiments](./experiments) · [Paper](https://arxiv.org/abs/2603.04448)
</div>
---
## Why SkillNet?
Agents should not rebuild the same capability from scratch every time. SkillNet provides the infrastructure layer for skill reuse:
- **Discovery:** search a public skill library by keyword or semantic intent.
- **Installation:** download skill folders from GitHub into local agent workspaces.
- **Creation:** generate structured skills from repositories, documents, prompts, or execution traces.
- **Evaluation:** score skills for safety, completeness, executability, maintainability, and cost awareness.
- **Composition:** infer relationships and scenario handoffs between local skills.
- **Orchestration:** select scene-specific skills and generate a prompt for a downstream execution agent.
Search and public skill installation are credential-free. Create, evaluate, and analyze work with OpenAI-compatible endpoints. Orchestration runs through Claude Agent SDK and requires a compatible gateway configured with the same `API_KEY`, `BASE_URL`, and `SKILLNET_MODEL` variables.
---
## Quick Start
Install the SDK and CLI:
```bash
pip install skillnet-ai
```
Search and install a skill:
```python
from skillnet_ai import SkillNetClient
client = SkillNetClient()
results = client.search("pdf understanding", limit=5)
print(results[0].skill_name)
print(results[0].skill_url)
client.download(results[0].skill_url, target_dir="./my_skills")
```
CLI equivalent:
```bash
skillnet search "pdf understanding" --limit 5
skillnet download <skill_url> -d ./my_skills
```
No API key is required for search or public GitHub downloads.
---
## News
- **[2026-07-11] SkillNet update.** The library now indexes 500K+ GitHub skills with improved deduplication, expands scientific-research and data-analysis skill coverage, and adds local scenario graphs plus orchestration.
- **[2026-03-26] JiuwenClaw integration released.** JiuwenClaw now includes SkillNet as a built-in skill marketplace. [View guide](./examples/JiuwenClaw/README.md)
- **[2026-03-12] SkillNet MCP server released.** MCP support is maintained by [CycleChain](https://github.com/CycleChain).
- **[2026-03-04] Technical report released.** Read the SkillNet report on [arXiv](https://arxiv.org/abs/2603.04448).
- **[2026-02-23] OpenClaw integration released.** SkillNet is available as a built-in skill for [OpenClaw](https://github.com/openclaw/openclaw).
---
## What You Can Build
| Layer | Capability | What it enables |
| :-- | :-- | :-- |
| Skill library | Search and download | Reuse existing agent skills instead of rebuilding them |
| Skill authoring | Create | Turn traces, prompts, repositories, and documents into portable skill packages |
| Skill quality | Evaluate Excerpt of 14,559 characters
Read on GitHub
98
47
Xu Haoming · Zhejiang University
14
3
Eric
3
Alan Pope · @Tesslio · United Kingdom
3
2
Hugo · Huawei R&D UK · United Kingdom
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9d260548f49bf37a, topic:large-language-models, readme:technical report
matched fp:9d260548f49bf37a, topic:natural-language-processing
matched fp:9d260548f49bf37a, topic:ai-agents, readme:ai agent
matched fp:9d260548f49bf37a, topic:knowledge-graph