BrowseFull catalogOutcomesSolve a specific problemRolesStack by teamTrustFilter by risk tier
← Back to the Claude Observatory

awesome-agentic-ai-zh

Skill Development Solid

AI Agent 中文學習地圖 — 從零開始的結構化學習路徑,每階段有必做練習跟必修閱讀。三語對照(繁中/简中/English)。歡迎社群一起貢獻、優化內容。

1,581 starsMIT (commercial OK)FreeQuick setup

Provides structured learning pathway for AI agents with hands-on exercises and curated readings, reducing onboarding time for teams building agentic systems. Trilingual format expands accessibility across distributed engineering teams.

Engineering teams building AI agent systems seeking organized curriculum with practical exercises and multilingual reference materials.

Claude Code Claude Cowork Claude Chat

https://github.com/WenyuChiou/awesome-agentic-ai-zh

By WenyuChiou

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install WenyuChiou/awesome-agentic-ai-zh

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars1,581Last updated2026-05-19LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Growing

Discussed on Reddit

8 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 1,581 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 1,581 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

← Back to the Claude Observatory

Rolling Claude out in your org? Let's talk.

Start a conversation →