菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Turn a content creator's AI stack into a factory that sounds like THEM. One voice spine (CONTENT.md) governs every format — FB/blog posts, TikTok carousels, YouTube Shorts, covers — so the output stops smelling like AI and comes out consistent every run. Use when a creator (not a dev) wants to set up Claude Code / an AI agent for content production across channels, or fix output that reads generic, breaks Thai fonts, or looks different every gen. Triggers: "setup AI for content", "brandbook for AI", "AI writes generic", "content creator claude md", "carousel/shorts pipeline", "cover generator".
Keep an AI character's face and voice identical across every clip. Lock the identity ONCE (train a face, lock a voice), then reuse it — never re-generate the face. Use when a recurring AI character drifts between clips, looks like a different person each render, or the brand face is never consistent.
Split AI content into two layers — AI generates raw material (backgrounds, characters, clips), code assembles the deliverable (text, layout, render). Use when AI-generated carousels/cards come out inconsistent, Thai fonts break, or every re-gen is a gamble.
Pump the brakes — clarify before acting. Use when a request is exploratory, mid-decision, or underspecified and the AI is about to edit, commit, hand off, deploy, or run a workflow on a partial picture. Fires on /hold-up or "just talk", "don't action this", "let's think first" — or auto-fires when the AI catches discuss-mode cues right as it was about to take a non-trivial action.
Game-theory review loop for AI drafts: tit-for-tat trust tracking across review rounds. Review depth adapts to the author's track record of addressing feedback, so clean drafts earn lighter reviews and ignored flags trigger deep audits. Use for recurring content or code review loops.
Personal commitments tracker with escalating confrontation. Use when the user wants accountability on recurring commitments, training, habits, or deadlines they keep deferring. Reviews the track record and escalates tone based on the avoidance pattern, not the excuses.
| name | link-triage |
| description | 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. |
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.
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
Works with any content type your AI can access:
### 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.
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.