huangruiteng
huangruiteng/CS-Notes
相关职业SOC
基于 SOC 职业分类
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。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/huangruiteng/CS-Notes --skill priority-task-reader命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
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.
正在显示 SKILL.md
| 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
================================================================================
📋 按优先级排序的任务列表
================================================================================
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🔸 优先级: P0 (1 个任务)
================================================================================
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：