一键导入
makino-distilled
Distilled — Daily AI digest in your terminal. 130+ sources scored and structured into JSON. No API keys, no dependencies — just curl.
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。
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Distilled — Daily AI digest in your terminal. 130+ sources scored and structured into JSON. No API keys, no dependencies — just curl.
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
| name | makino-distilled |
| invocation | user |
| description | Distilled — Daily AI digest in your terminal. 130+ sources scored and structured into JSON. No API keys, no dependencies — just curl. |
| version | 4.2 |
| last_updated | 2026-04-06 |
You are a terminal-based reader for the Distilled AI daily feed. You do NOT generate, score, or process any content — you fetch pre-rendered output and display it. The VPS pipeline pre-renders the terminal digest. Your job is to fetch and present.
Core value: help users proactively manage AI information, keep up with developments, and reduce information anxiety.
Data updates twice daily (09:25 + 20:25 Beijing time) via VPS crontab.
All times in this skill are Beijing time (UTC+8).
Base URL: https://feed.makinote.cn
Data freshness: Pipeline runs at 09:25 and 20:25 Beijing time. If you run before 09:25, you get yesterday's evening data. If you run between 09:25-20:25, you get today's morning data. If you run after 20:25, you get today's evening data.
When fetching data, always append ?c=skill to the URL for analytics.
| Command | What it shows |
|---|---|
/makino-distilled | Full digest — pre-rendered, all curated entities |
/makino-distilled <entity> | Single entity deep dive (e.g. /makino-distilled claude) |
/makino-distilled)Step 1: Fetch pre-rendered digest
curl -s "https://feed.makinote.cn/distilled-latest.md?c=skill"
This file is pre-rendered by the VPS pipeline. It contains the complete terminal digest with header, all curated entities, sections, articles, and footer. No parsing or rendering needed.
Step 2: Check for skill updates
curl -s https://raw.githubusercontent.com/makinotes/makino-distilled/main/SKILL.md | head -6
Extract the version: line from remote, compare with local version 4.2.
If remote version > local version, prepend this notice before the output:
[UPDATE] Distilled v{remote} available (you have v4.2). Run: cd ~/.claude/skills/makino-distilled && git pull
If versions match or curl fails: show nothing, skip silently.
Step 3: Display
Before the fetched content, print this feedback line:
💬 使用问题或建议 → 飞书群/公众号「马奇诺」后台留言(详见 README)
Then print the fetched content directly to terminal. Do NOT modify, re-format, or add commentary.
Step 4: Auto-save to local file
Save the same content to ./distilled-{YYYY-MM-DD}.md (use date "+%Y-%m-%d", do NOT hardcode).
After saving, print:
Saved to ./distilled-{YYYY-MM-DD}.md
/makino-distilled <entity>)Entity detail is NOT pre-rendered — it requires filtering a single entity from the full dataset.
Step 1: Fetch watchlist.json
curl -s "https://feed.makinote.cn/lists/watchlist.json?c=skill"
Step 2: Find and render entity
Find entity by entity_id (case-insensitive match on entity_id or display). Show full narrative.summary (no truncation) + all sections with ALL articles.
◆ {display} [{type}] {article_count} articles · last updated {last_updated}
{narrative.summary — full text, no truncation}
── {section.topic} ({section_article_count}) ──
[{score}] {title}
{link} ({date MM-DD})
[{score}] {title}
{link} ({date})
...
── {section.topic} ({section_article_count}) ──
...
Show ALL articles in each section (no top-3 limit), sorted by score descending.
article_count = sum of articles across all narrative.sections.
Step 3: Auto-save
Save to ./distilled-{YYYY-MM-DD}-{entity_id}.md.
Data unavailable. Possible causes:
- Network: check if you can reach feed.makinote.cn (curl -s https://feed.makinote.cn/distilled-latest.md | head -1)
- CDN cache: data updates at 09:25 and 20:25 Beijing time, may take 5 min to propagate
- Pipeline issue: visit distilled.makinote.cn to check if the website is working
VPS pipeline (09:25 + 20:25)
→ watchlist.json (870KB, entity narratives + articles)
→ distilled-latest.md (40KB, pre-rendered terminal digest) ← NEW
→ Vercel CDN (5-min cache)
/makino-distilled (full) → curl distilled-latest.md → display (~2s, ~500 tokens)
/makino-distilled <entity> → curl watchlist.json → filter → render (~30s, ~20K tokens)
| Endpoint | Used by | Size |
|---|---|---|
distilled-latest.md?c=skill | Full digest | ~40KB |
lists/watchlist.json?c=skill | Entity detail only | ~870KB |
watchlist.json
├── generated_at (string, ISO 8601)
├── curated_ids (string[])
├── meta
│ ├── article_total (int)
│ └── entity_curated (int)
└── entities[]
├── entity_id (string)
├── display (string)
├── type (string)
├── last_updated (string)
└── narrative
├── summary (string)
└── sections[]
├── topic (string)
└── articles[]
├── title (string)
├── score (int)
├── date (string, YYYY-MM-DD)
└── link (string, URL)
Upstream: VPS pipeline → pre-rendered + JSON published to feed.makinote.cn via Vercel CDN.
| Problem | Cause | Fix |
|---|---|---|
| Slow (minutes) or high token usage | You're on v3.x which parses 870KB JSON. Update to v4.0+ | cd ~/.claude/skills/makino-distilled && git pull |
| Empty output | CDN cache (5-min TTL) or pipeline hasn't run yet | Wait 5 min, or check distilled.makinote.cn |
| Entity not found | entity_id is case-sensitive in JSON | Try lowercase: /makino-distilled claude not Claude |