AI & LLMs
awesome-claude-skills · Comparison Card
agent / toolchain in AI & LLMs: Python, not declared, GitHub stars 78.6k
About this listing
- Role: agent / toolchain for developers integrating models into real toolchains
- Stack: Python; difficulty medium-high
- License: not declared (needs verification)
- Source: GitHub · fetched 2026-11-02
- Activity: last push about 45 days ago
Problem: wires model calls, tool routing and context handling into one executable loop, focused on Claude and MCP. Audience: developers integrating models into real toolchains. Stack & setup: Python, prepare an API key or local inference endpoint, register tools and scopes, then dry-run in a sandbox, difficulty medium-high. Difference: its tags span Claude, MCP, suggesting several steps live in one repo rather than a single-point script. Risk: no license is declared, so treat it as all rights reserved and confirm with the author before commercial use.
A licensed delivery file is generated after payment and downloadable from the delivery page.
Public fact metadata
| License | unknown (not verified) |
|---|---|
| Primary language | Python |
| Platform / topics | GitHub · agent-skills · ai-agents · antigravity |
| GitHub stars | 78.7k |
| Last push | 2026-09-18 |
| Source | https://github.com/ComposioHQ/awesome-claude-skills |
| Homepage | unknown (not verified) |
| Docs | https://github.com/ComposioHQ/awesome-claude-skills#readme |
| Demo | unknown (not verified) |
| Verified at | 2026-11-04 |
Fact fields come from public sources; timestamps are shown above. Missing fields are marked unknown and never guessed.
What you get
1 份 Markdown 交付文件，共 9 个章节：
- 一句话定位
- 公开事实元数据（抓取时快照）
- 1. 解决什么问题
- 2. 适用人群
- 3. 技术栈与部署门槛
- 4. 与同类项目的差异
- 5. 已知短板与风险
- 上手路径建议
- 合规与使用边界
Compatibility
| Primary language | Python |
|---|---|
| Platform / topics | agent-skills · ai-agents · antigravity |
| License | unknown |
Before you buy
FAQ
买到的是什么形式？
一份 Markdown 交付文件，含 9 个章节（一句话定位 / 公开事实元数据（抓取时快照） / 1. 解决什么问题 / 2. 适用人群 等），付款后生成带授权码的下载文件。
许可证是否允许商用？
许可证未核实（原仓库为 NOASSERTION/OTHER 或未声明），商用前必须联系原作者确认。
项目还在维护吗？
最近一次上游提交：2026-09-18，数据抓取时间 2026-11-04。
需要什么运行环境？
主要语言 Python；其余依赖以包内依赖清单为准。
Comparison
| 商品 | 价格 | License | Last push |
|---|---|---|---|
| OpenMontage · 决策备忘卡 | ¥3.9 | AGPL-3.0 | 2026-11-03 |
| system_prompts_leaks · 导航评测卡 | ¥3.9 | CC0-1.0 | 2026-11-04 |
| generative-ai-for-beginners · 决策备忘卡 | ¥3.9 | MIT | 2026-11-02 |