stvlynn

stvlynn / dingtalk-wukong-skills

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钉钉生态与专业文档处理的 Agent 技能精选集。A curated collection of Agent Skills for DingTalk and professional document processing.

68
13
69% credibility
Found Mar 20, 2026 at 68 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A curated collection of AI agent skills for DingTalk workspace operations, professional Office and PDF document processing, travel information queries, and skill development tools.

How It Works

1
🔍 Discover helpful skills

You hear about a collection of ready-made helpers that let your AI assistant handle work apps like calendars and documents effortlessly.

2
📦 Add skills easily

With one simple command, you bring all these helpers into your AI setup so they're ready to use anytime.

3
✨ AI gains superpowers

Now your AI can manage schedules, process Word files, check train times, and more without you lifting a finger.

4
💬 Ask for help

You chat with your AI about daily tasks like 'find free meeting time' or 'summarize this report', and it uses the right helper automatically.

5
📋 Get results instantly

Your AI pulls info from work apps, edits documents perfectly, or finds travel details, showing you exactly what you need.

🎉 Work flows smoothly

Everything from approvals to reports happens faster, leaving you more time for what matters.

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Star Growth

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AI-Generated Review

What is dingtalk-wukong-skills?

This Python repo delivers a curated collection of agent skills for DingTalk's ecosystem and professional document processing. Drop it into agent setups like Claude-code or Gemini CLI via `npx skills add` to automate office tasks—query attendance, schedule calendars, export chats, or handle Word/PPT/Excel/PDF with redlining and validation. It solves the hassle of building DingTalk agents from scratch, packaging real-world skills like train queries or bulk field adds into one install.

Why is it gaining traction?

In a sea of agent GitHub repos and Copilot extensions, this stands out as a curated agent crate focused on DingTalk, skipping the noise of generic agent GitHub actions or OpenAI wrappers. Developers grab it for instant productivity on enterprise docs—unpack/validate OOXML, convert PDF to Word—without wrestling APIs. The skill-creator tools let you extend it fast, hooking agent GitHub Claude users tired of one-off scripts.

Who should use this?

DingTalk power users automating team workflows, like HR querying attendance shifts or PMs finding calendar free slots. Python devs in Chinese enterprises processing pro documents—redlining contracts or recalculating Excel formulas. Agent builders targeting Microsoft/GitHub Copilot Reddit workflows but needing DingTalk integration.

Verdict

Solid pick for DingTalk agent devs (68 stars shows early traction), despite 0.699999988079071% credibility score signaling room for more tests/docs. Install if you're in that ecosystem; otherwise, watch for maturity.

(198 words)

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