Help the user quickly distill a Yuque document into a structured reading digest with key takeaways, core arguments, and actionable insights.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionyuque-personal-reading-digestExecute the skills CLI command in your project's root directory to begin installation:
Fetches yuque-personal-reading-digest from yuque/yuque-plugin and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate yuque-personal-reading-digest. Access via /yuque-personal-reading-digest in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Help the user quickly distill a Yuque document into a structured reading digest with key takeaways, core arguments, and actionable insights.
All tools are from the yuque-mcp server:
yuque_search — Find the target document by keywordyuque_get_doc — Read the full document contentyuque_list_repos — List personal repos to find the save targetyuque_create_doc — Save the reading digest as a new documentThe user may provide:
If the user provides a keyword or title:
Tool: yuque_search
Parameters:
query: "<keyword>"
type: "doc"
If the user provides a URL or specific reference, extract the repo_id and doc_id directly.
Tool: yuque_get_doc
Parameters:
repo_id: "<namespace>"
doc_id: "<slug>"
If the document is very long, note the total length and proceed with the full content.
Analyze the document and produce a structured digest:
# 📖 阅读摘要：[文档标题]
> **原文**：[文档标题](文档链接)
> **作者**：[作者]
> **阅读日期**：YYYY-MM-DD
> **预计阅读时间**：约 X 分钟
---
## 🎯 一句话总结
[用一句话概括文档的核心观点或目的]
---
## 📌 关键要点
1. **[要点 1]**：[简要说明]
2. **[要点 2]**：[简要说明]
3. **[要点 3]**：[简要说明]
4. **[要点 4]**：[简要说明]
5. **[要点 5]**：[简要说明]
---
## 🧠 核心论点与逻辑
[梳理文档的核心论证逻辑，2-3 段]
---
## 💡 启发与思考
- [这篇文档对我的启发 1]
- [这篇文档对我的启发 2]
- [可以应用到的场景]
---
## 📝 原文金句
> [摘录文档中值得记住的精彩段落 1]
> [摘录文档中值得记住的精彩段落 2]
---
## 🔗 相关延伸
- [可以进一步阅读的方向 1]
- [可以进一步阅读的方向 2]
---
> 本摘要由 AI 助手生成，建议结合原文阅读。
Present the digest to the user and ask:
If the user wants to save:
Tool: yuque_list_repos
Parameters:
type: "user"
Find or ask for the target repo (often "阅读笔记" or "读书摘要").
Tool: yuque_create_doc
Parameters:
repo_id: "<namespace>"
title: "📖 阅读摘要：[原文标题]"
body: "<formatted digest>"
format: "markdown"
✅ 阅读摘要已生成并保存！
📄 **[📖 阅读摘要：原文标题](文档链接)**
📚 已归档到：「知识库名称」
### 摘要概览
- 提炼了 X 个关键要点
- 摘录了 X 条原文金句
- 生成了 X 个延伸阅读方向
| Situation | Action |
|---|---|
yuque_search returns no results |
Ask user for the exact document URL or repo/slug |
yuque_get_doc fails (404) |
Document may have been deleted; inform user |
yuque_get_doc fails (403) |
User may lack permission; suggest checking access |
| Document is very short (<200 words) | Generate a brief summary instead of full digest template |
| Document is non-text (slides, spreadsheet) | Inform user this skill works best with text documents |
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Registry listing for yuque-personal-reading-digest matched our evaluation — installs cleanly and behaves as described in the markdown.
yuque-personal-reading-digest fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in yuque-personal-reading-digest — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
yuque-personal-reading-digest reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend yuque-personal-reading-digest for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
yuque-personal-reading-digest is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: yuque-personal-reading-digest is focused, and the summary matches what you get after install.
Keeps context tight: yuque-personal-reading-digest is the kind of skill you can hand to a new teammate without a long onboarding doc.
yuque-personal-reading-digest has been reliable in day-to-day use. Documentation quality is above average for community skills.
yuque-personal-reading-digest fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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