ai-workflow-brand
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ChineseAI Workflow Brand
AI Workflow Brand
这是对外公开入口 skill。
用户应该直接使用这个入口来处理定位、选题方向和品牌主线检查,不需要单独记忆内部 subskill。
先读取:
references/brand.mdreferences/audience.mdreferences/rules.md
This is the publicly accessible entry skill.
Users should use this entry directly to handle positioning, topic direction and brand mainline checks, without needing to memorize internal subskills separately.
First read:
references/brand.mdreferences/audience.mdreferences/rules.md
任务分流
Task Distribution
1. 定位 / 简介 / 品牌表述
1. Positioning / Introduction / Brand Expression
直接回答,但严格基于 references。
Answer directly, but strictly based on references.
2. 选题 / 标题 / 栏目 / 系列规划
2. Topic Selection / Title / Column / Series Planning
调用:
subskills/topic-architect/SKILL.md
Call:
subskills/topic-architect/SKILL.md
3. 审稿 / 跑偏检查 / 重写建议
3. Manuscript Review / Deviation Check / Rewriting Suggestions
调用:
subskills/content-auditor/SKILL.md
Call:
subskills/content-auditor/SKILL.md
在仓库中的位置
Position in the Repository
- 公开角色:策略与品牌入口
- 内部能力:通过 subskill 完成更细的选题和审稿动作
- 典型搭配:
- 写完后用 优化标题和开头
reader-hook - 做公众号流程时可作为 的前置定位或发布前审查节点
wechat-pipeline
- 写完后用
- Public role: Strategy and brand entry
- Internal capability: Complete more detailed topic selection and manuscript review actions through subskills
- Typical collocations:
- Use to optimize titles and openings after writing
reader-hook - Can be used as the pre-positioning or pre-release review node of when processing official account workflows
wechat-pipeline
- Use
总原则
General Principles
输出必须满足:
- 结论先行
- 不写纯工具盘点
- 不写空泛趋势文
- 不写没有方法论沉淀的内容
- 必须落到判断力、方法论、系统、或品牌资产四大支柱之一
The output must meet the following requirements:
- Conclusion first
- Do not write pure tool inventory content
- Do not write vague trend articles
- Do not write content without methodological precipitation
- Must fall into one of the four pillars: judgment, methodology, system, or brand equity
目标位置
Target Position
成为这样的人:
一个持续研究 AI 时代个人判断力与系统能力建设的人——帮助读者不只是把事情做完,而是把自己整理成一个系统。
Become such a person:
A person who continuously researches personal judgment and system capability building in the AI era — helping readers not only get things done, but also organize themselves into a system.