A professional Claude AI skill that generates three-version article recommendations (standard, concise, and critical commentary) in both Chinese and English, specifically designed for BestBlogs.dev's weekly newsletter.
Transform your content curation with intelligent multi-version recommendations:
- ๐ Standard Recommendation - Comprehensive yet concise overview (150-200 Chinese chars, 80-120 English words)
- ๐ Concise Version - Direct and to-the-point essentials (80-120 Chinese chars, 50-80 English words)
- ๐ฌ Critical Commentary - Objective, critical analysis with professional insights (180-250 Chinese chars, 100-150 English words)
- ๐ค AI - Focus on technical depth, model limitations, practical applications
- ๐ฑ Product - Emphasize user value, practical experience, resource requirements
- ๐ผ Business - Address survivorship bias, contextual factors, scale assumptions
- ๐ป Programming - Evaluate complexity trade-offs, learning curves, maintenance costs
- ๐ Articles - Standard text content analysis
- ๐ฅ Videos - Includes duration and time investment analysis
- ๐๏ธ Podcasts - Listening experience and signal-to-noise ratio
- ๐ฆ Tweets/Threads - Quick insights with oversimplification awareness
- ๐ Academic Papers - Research quality and reproducibility assessment
This skill provides a systematic workflow to generate professional recommendations:
- Analyze Input - Extract key information and identify content domain/format
- Apply Domain Knowledge - Use domain-specific and format-specific strategies
- Generate Three Versions - Create standard, concise, and critical commentary versions
- Bilingual Output - Provide natural Chinese and English for each version
- Quality Check - Ensure accuracy, formatting, and language naturalness
- Purpose: Comprehensive overview without verbosity
- Style: Objective, professional, balanced
- Content: Core value + key insights + target audience fit
- Use Case: Default recommendation for most newsletter readers
- Purpose: Quick information delivery
- Style: Direct, efficient, no fluff
- Content: Essential information only
- Use Case: Quick scanning or space-limited scenarios
- Purpose: Objective critical analysis with depth
- Style: Professional, direct, constructive
- Content: Critical observations + thoughtful questions + practical context
- Use Case: Showcase professional judgment and encourage critical thinking
Key Features of Version 3:
- Points out potential limitations and gaps
- Raises questions worth discussing
- Based on objective analysis, not personal preference
- Maintains constructive and professional tone
- Identifies assumptions that may not hold universally
- Claude Desktop App or Claude Web (claude.ai)
- Claude Pro subscription (recommended for best experience)
-
Download the skill file: article-recommender.skill
-
Import to Claude:
Desktop App:
- Open Claude Desktop
- Click your profile icon (top-right)
- Select Settings โ Skills
- Click "Import Skill"
- Select the downloaded
.skillfile
Web Version:
- Visit claude.ai
- Click Settings icon (bottom-right)
- Go to "Skills" tab
- Click "Import" button
- Upload the
.skillfile
-
Start using! The skill will automatically trigger when you ask Claude to write recommendations.
The skill automatically activates when you use any of these phrases:
English triggers:
- "write a recommendation"
- "generate article recommendation"
- "help me recommend this article"
- "write recommendations for"
Chinese triggers (ไธญๆ่งฆๅ่ฏ):
- "ๅธฎๆ็ผๅๆจ่็็ฑ"
- "็ๆๆจ่่ฏญ"
- "ๅไธไธชๆจ่"
- "ไธบ่ฟ็ฏๆ็ซ ๅๆจ่"
Simply provide article information and ask for a recommendation:
Please write a recommendation for this article: [paste content or summary]
If you have complete article information (e.g., from deep-reading-analyst analysis):
Please write recommendations for this article for the weekly newsletter:
----------
Title: [Article Title]
Source: [Source]
Summary: [Summary]
Key Points:
- [Point 1]
- [Point 2]
- [Point 3]
Key Quotes:
[Important quotes]
Full Content:
[Article content]
----------
Help the skill understand your content better:
Please write a recommendation for this 40-minute AI technical talk
Customize specific versions:
Please write recommendations, but make Version 3 more critical
I'm curating this week's newsletter. Please write recommendations for this article about LLM application patterns:
Title: [Title]
Author: [Author]
Key Points: [Summary]
Please write recommendations for this 45-minute conference talk:
Title: Building Production-Ready AI Applications
Speaker: OpenAI Engineer
Topics: Model selection, prompt engineering, cost optimization
Duration: 45 minutes
I have three articles on product thinking. Please write recommendations that help readers understand their unique values:
[Article 1 info]
[Article 2 info]
[Article 3 info]
This article discusses both AI technology and product strategy. Please write recommendations that address both aspects.
Please write recommendations for this insightful tweet thread about startup growth (12 tweets).
The skill applies specialized approaches for each domain:
- Focus: Technical depth, performance metrics, actual applications
- Critical Points: Model limitations, computational cost, generalization ability, ethical considerations
- Focus: User problems, product strategy, design decisions, practical frameworks
- Critical Points: User behavior assumptions, resource requirements, theory vs. practice gaps
- Focus: Business models, market analysis, organizational structure, leadership
- Critical Points: Survivorship bias, context specificity, competitive responses, scale assumptions
- Focus: Code quality, architecture design, tools/frameworks, performance optimization
- Critical Points: Complexity trade-offs, learning curve, performance impact, maintenance burden
- Emphasize core arguments and key takeaways
- Highlight practical value and applicability
- Note duration and time investment required
- Emphasize visual/demonstration value
- Critical considerations: Is there companion material? Can parts be skipped?
- Note duration and listening experience
- Highlight discussion topics and guest expertise
- Critical considerations: Signal-to-noise ratio, listening speed/accent
- Capture core insights quickly
- Acknowledge format's inherent brevity
- Critical considerations: Oversimplification risks, missing nuances
- Explain research problem and contributions
- Reference methodology and findings
- Critical considerations: Reproducibility, evaluation limitations, theory-practice gap
- Provide Context - Share article summary, key points, target audience
- Specify Format - Mention if it's a video, podcast, tweet thread, etc.
- Note Duration - For videos/podcasts, include time length
- Indicate Domain - Mention if it crosses multiple domains (e.g., AI + Product)
- Request Adjustments - Ask for specific tone or depth changes
- Don't provide only a link without context
- Don't expect the skill to read your mind about target audience
- Don't ignore critical points raised in Version 3
- Don't use recommendations without reviewing for accuracy
The skill generates this structured output:
## ็ๆฌไธ๏ผๆจ่็ๆฌ
### ไธญๆ
[Standard Chinese recommendation]
### English
[Standard English recommendation]
---
## ็ๆฌไบ๏ผ็ฒพ็ผ็ฎๆด็ๆฌ
### ไธญๆ
[Concise Chinese recommendation]
### English
[Concise English recommendation]
---
## ็ๆฌไธ๏ผไธชไบบ่ฏ่ฎบ็ๆฌ
### ไธญๆ
[Critical commentary in Chinese]
### English
[Critical commentary in English]The skill automatically:
- Keeps English for universal technical terms (API, SDK, LLM, RAG, MVP, CI/CD)
- Uses Chinese for concepts with natural Chinese equivalents (ๆบๅจๅญฆไน ๏ผ็จๆทไฝ้ช๏ผไบงๅ่ฟญไปฃ)
- Maintains consistency across all three versions
- Proper spacing between Chinese and English/numbers
Examples:
- โ LLM ๅบ็จๅผๅ
- โ API ๆฅๅฃ่ฎพ่ฎก
- โ ๆบๅจๅญฆไน ๆจกๅไผๅ
- โ ๆ็ปญ้ๆ CI/CD ๆต็จ
Automatic checks for:
- โ Authentic Chinese expressions (้ฟๅ ็ฟป่ฏ่ )
- โ Natural English writing (้ฟๅ ไธญๅผ่ฑ่ฏญ)
- โ Proper punctuation for each language
- โ Accurate information based on source content
- โ Balanced tone without exaggeration
- โ Correct Markdown formatting
Repository Structure:
article-recommender-skill/
โโโ src/ # Source files (edit these)
โ โโโ article-recommender/
โ โโโ SKILL.md # Core workflow and instructions
โ โโโ references/ # Reference documentation
โ โโโ chinese_writing_standards.md # Chinese expression guidelines
โ โโโ english_writing_standards.md # English expression guidelines
โ โโโ recommendation_examples.md # Complete examples
โ โโโ domain_format_guidelines.md # Domain & format strategies
โ โโโ terminology_guidelines.md # Terminology handling rules
โโโ build.sh # Build script to package skill
โโโ article-recommender.skill # Built skill file (ready to import)
For Contributors:
- Edit files in
src/article-recommender/ - Run
./build.shto rebuild the skill package - Test by importing the
.skillfile into Claude
Package Size: ~33KB (optimized and efficient)
Skill Components:
- Core logic:
SKILL.md(10KB) - Reference docs: 5 files (62KB uncompressed)
- Trigger mechanism: Based on frontmatter description field
- Context management: References loaded on-demand
All strategies include detailed documentation inside the skill:
SKILL.md- Core workflow and three-version frameworkchinese_writing_standards.md- Chinese writing quality standardsenglish_writing_standards.md- English writing quality standardsrecommendation_examples.md- 6+ complete examples across domains/formatsdomain_format_guidelines.md- Domain-specific and format-specific strategiesterminology_guidelines.md- Technical term handling rules
This skill works great with other AI skills:
- Deep Reading Analyst - Systematic article analysis using 10+ thinking frameworks. Perfect for generating input for this recommendation skill.
- Smart Content Creator - Create engaging content from various sources. Complements this skill for complete content workflow.
# Step 1: Deep analysis
Use deep-reading-analyst to analyze an article
# Step 2: Generate recommendations
Use article-recommender to create three-version recommendations
# Step 3: Create content
Use smart-content-creator to craft social media posts or newsletter content
Contributions are welcome!
Ideas for contributions:
- Additional domain strategies
- New format-specific guidelines
- More recommendation examples
- Translations
- Bug reports and feature requests
Q: Can the skill analyze web links directly? A: Yes! Claude can fetch web content when you provide URLs.
Q: Does it work for non-English content? A: Yes! It generates bilingual outputs (Chinese + English) regardless of source language.
Q: Can I request only one or two versions? A: Absolutely! Just specify which version(s) you need.
Q: How accurate is the domain detection? A: The skill uses content analysis to identify domains. You can explicitly specify if needed.
Q: Can I customize the critical depth of Version 3? A: Yes! Request "more critical" or "gentler" feedback as needed.
Q: What's new in version 2.0? A: Added multi-domain support (4 domains), multi-format handling (5 formats), objective critical commentary framework, and comprehensive terminology guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.
Designed for:
- BestBlogs.dev - Weekly newsletter curation
- Content Curators - Professional recommendation writers
- Newsletter Authors - Anyone sharing quality content
- Learning Communities - Those who value critical thinking
Inspired by:
- Professional editorial standards
- Critical thinking frameworks
- Bilingual content curation best practices
- Issues: GitHub Issues
- Discussions: GitHub Discussions
If you find this skill useful, please consider giving it a star! โญ
Made with โค๏ธ for content curators and critical thinkers