somnus0x/agt-skill-pack/link-triage

Claude Code and agent skill by somnus0x/agt-skill-pack

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Checking that the SKILL.md file is still in the repository.

Turn dropped URLs into summarized, categorized entries in a persistent reading queue with priority scoring. Use whenever links should be captured, summarized, classified, and queued instead of rotting in bookmarks.

Install

npx vskill@latest install somnus0x/agt-skill-pack/link-triage

SKILL.md

Link Triage — AI Reads So You Don't Have To

You save 30 links a day. You read maybe 2. The rest rot in bookmarks until you forget they exist.

Link Triage turns any URL into a 3-5 line summary with key takeaways, category, and relevance score — so you know what's worth your time without reading the full thing.

Setup

Drop-in prompt (copy into your AI tool):
เมื่อผมส่ง URL มา ให้:
1. อ่านเนื้อหาทั้งหมด
2. สรุปเป็น 3-5 bullet points เน้น key takeaway
3. จัดหมวดหมู่ (tech, business, personal, research)
4. ให้คะแนน relevance 1-5 ว่าเกี่ยวกับงานที่ทำอยู่แค่ไหน
5. ถ้า relevance 4-5 บอกว่าเกี่ยวยังไงและควรอ่านเต็มไหม

English version:

When I send a URL:
1. Read the full content
2. Summarize in 3-5 bullet points focusing on key takeaways
3. Categorize (tech, business, personal, research)
4. Score relevance 1-5 for how related it is to my current work
5. If relevance 4-5, explain why and whether I should read the full article

What it handles

Works with any content type your AI can access:

  • Articles & blogs — extract and summarize
  • Tweets & threads — pull full thread, summarize the argument
  • YouTube videos — transcript extraction → summary
  • GitHub repos — README + structure → what it does, why it matters
  • PDFs & research papers — extract key findings
  • Newsletters — pull the 2-3 items that matter

Add to your CLAUDE.md

markdown
### Link triage
When I send a URL, automatically read the content, summarize in 3-5 bullets,
categorize, and score relevance 1-5 to my current work.
If relevance is 4+, explain why I should care.

Building a reading queue (optional)

If you want to track what you've read and what's pending:

เก็บ log ของทุกลิงก์ที่ส่งมาใน reading-queue.md
แต่ละ entry มี: title, URL, summary, category, relevance score, status (unread/read/archived)
เรียงตาม relevance สูงสุดก่อน

This gives you a persistent, searchable reading queue that you can review weekly.

When to use

  • Someone sends you a link in chat — triage it before deciding to read
  • You're catching up on newsletters — batch triage 10 links in 2 minutes
  • You found an interesting thread at midnight — save and triage, read tomorrow
  • Weekly reading review — scan your queue, archive what's stale

Technical notes

  • Works with any AI tool. Claude Code, Cursor, ChatGPT, Gemini — any tool that can fetch URLs.
  • Accuracy depends on access. Some sites block AI extraction (paywalled content, JS-heavy pages). The AI will tell you when it can't access something.
  • Relevance scoring improves over time. The more context your AI has about your work (via CLAUDE.md or hot cache), the better it scores relevance.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
74
Repository forks
17
7-day trend score
22

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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