القائمة
按优先级读取任务 Skill - 从 todos.json 读取 in-progress 和 pending 任务，按 P0-P9 优先级排序
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Inspect and manage guarded Codex App-native or launchd heartbeats for Codex main control threads. Use when the user wants Codex to periodically continue a specific thread only when it is idle, avoid interrupting active work, keep App-visible interactions, inspect thread status, or enable/disable project autopilot heartbeats.
Coordinate Lark/Feishu CLI tasks from Codex. Use when a request involves Feishu/Lark docs, wiki, Drive files, Sheets, Base, Calendar, Minutes, IM, Mail, Tasks, Contacts, Slides, whiteboards, approvals, attendance, or when a Lark URL/token must be read, edited, summarized, routed, or turned into a real work artifact.
Use when the user asks Codex to research, find learning materials, process "素材：" links, "请你读" / "精读" a material, build a material radar, or use SenSight-like broad information retrieval for career learning and Agent infra tracking.
Organize tasting menus, menu photos, and visit notes into the right gourmet note. Use when the user shares a restaurant menu, wants a tasting write-up, or asks to merge a new visit into Notes/Gourmet.md without overwriting earlier visits.
Track and synthesize current AI hotspots into a bilingual HTML daily report. Use when the user says "AI热点", asks for AI日报/AI日报 HTML/AI hot topics, or wants the best recent AI products, papers, viewpoints, and cognition-shifting items from AI/news aggregators.
Extract a Markdown heading tree with line numbers before editing or integrating notes. Use when you need to inspect a long Markdown file quickly and choose the best insertion point instead of editing blind.
| name | priority-task-reader |
| description | 按优先级读取任务 Skill - 从 todos.json 读取 in-progress 和 pending 任务，按 P0-P9 优先级排序 |
按优先级读取任务，从 todos.json 读取 in-progress 和 pending 任务，按 P0-P9 优先级排序。
排序优先级（从高到低）：
向后兼容：high (2), medium (5), low (8)
cd /Users/bytedance/CS-Notes/.trae/openclaw-skills/priority-task-reader
python3 main.py
python3 main.py --json
python3 main.py --next
python3 main.py --next --next-count 3
python3 main.py --json --next --next-count 5
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📋 按优先级排序的任务列表
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🔸 优先级: P0 (1 个任务)
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1. ⏸️ [todo-20260219-050]
标题: 精炼整理知乎文章：关于 AI Agent 的内容
负责人: ai
================================================================================
🔸 优先级: P1 (6 个任务)
================================================================================
1. 🚀 [todo-20260223-041344]
标题: 解决子agent遇到gateway pairing问题
负责人: ai
...
================================================================================
📊 总计: 48 个任务 (in-progress + pending)
================================================================================
================================================================================
🎯 下一个应该执行的任务
================================================================================
{
"id": "todo-20260219-050",
"title": "精炼整理知乎文章：关于 AI Agent 的内容",
"status": "pending",
"priority": "P0",
"assignee": "ai",
...
}
默认配置在 skill.json 中：
{
"todos_json_path": "/Users/bytedance/CS-Notes/.trae/todos/todos.json",
"workspace": "/Users/bytedance/CS-Notes"
}
可以通过 --config 参数指定自定义配置文件。
当用户说"推进todo"时，AI 应该：