菜单
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
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
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
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🔸 优先级: P1 (6 个任务)
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1. 🚀 [todo-20260223-041344]
标题: 解决子agent遇到gateway pairing问题
负责人: ai
...
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📊 总计: 48 个任务 (in-progress + pending)
================================================================================
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🎯 下一个应该执行的任务
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{
"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：