# datawhalechina/agent-skills-with-anthropic

本项目围绕吴恩达老师在DeepLearning.AI出品的agent-skills-with-anthropic系列课程，为学习者打造中文翻译与知识整理教程。项目提供课程内容翻译、知识点梳理和示例代码解读等内容，欢迎大家Star!

Repository: https://github.com/datawhalechina/agent-skills-with-anthropic
Canonical: https://ross.abutalabs.com/products/agent-skills-with-anthropic
Language: Python
License Family: other
Last push: 2026-06-01T10:20:58+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 85, release rhythm 35, longevity 15
- inputs: {"age_days": 213, "days_push": 93, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1481, forks 198 (observed 2026-08-28T04:04:50.928996+00:00)

## What it is
A Chinese-language study companion for Andrew Ng's DeepLearning.AI short course 'agent-skills-with-anthropic', providing translations, knowledge summaries, and annotated example code. It is a community-maintained tutorial repository by Datawhale, not a software library.

## Use cases
- learn how Anthropic agent skills work in Chinese
- understand skills vs tools vs MCP vs subagents
- follow along with Andrew Ng's agent skills course without English barriers
- see example code for using skills with the Claude API and Claude Code
- learn to create custom Claude skills
- study the Claude Agent SDK through translated course notes

## When to choose
- you are a Chinese speaker wanting to learn Anthropic agent skills from the DeepLearning.AI course
- you want curated, chapter-by-chapter notes and code walkthroughs
- you prefer community-translated tutorials over raw English course material

## When to avoid
- you need production-ready agent code or a reusable library
- you want official documentation rather than third-party study notes
- you don't read Chinese and can access the original course directly

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, prompt-engineering, mcp, documentation
- domain: artificial-intelligence, large-language-models, tutorials, education
- platform: python, cross-platform
- tags: chinese-translation, anthropic, claude, deeplearning-ai, course-notes, datawhale, agent-skills, ai-agents

## Member repositories
- datawhalechina/agent-skills-with-anthropic (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:50.928996+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:34:10.178215+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/agent-skills-with-anthropic (fetched 2026-08-28T04:04:50.928996+00:00, sha dbd4f0bb692e)
- Data as of 2026-08-30T08:39:29.467469+00:00.