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
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/huangruiteng/CS-Notes --skill priority-task-readerيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
Qualify the exact final diff for a LoopX-managed goal. Use when goal policy enables change_quality_qualification, before a non-trivial delivery or merge, and when producing or repairing an exact-scope quality receipt. The workflow is language-neutral, permits at most one policy-authorized safe-fix pass, and never grants merge or repository authority.
Operate an explicitly activated LoopX Material Lifecycle for a connected project. Use for material-store inventory, lossless migration, candidate/archive transitions, exact-read-backed ranking, ranked-entry rebuilds, bounded Explore intake, owner-gated apply, rollback, and audit. Do not use for ordinary one-off reading or research when the project has not activated Material Lifecycle.
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. Do not use the career/Agent-infra routing bias for user-directed `整理笔记` into a named note.
| 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：