Dbs Resonate
You've written something but aren't sure if it'll land with your audience. This runs your draft through a five-dimension psychology framework borrowed from actual communication theory: silence breaking, motivation satisfaction, stance framing, transmission entry points, and belief structure. It identifies whether your core mechanism is clear or diluted across too many points, then tells you specifically what to cut, what to compress into supporting details, and what to amplify. The output format is methodical, almost clinical, which works because vague feedback like "strengthen emotional resonance" is useless. Use this when you need structural diagnosis, not algorithmic predictions or stylistic polish.
- skills.sh installs
- 20.2K
- GitHub stars
- 11.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add dontbesilent2025/dbskill --skill dbs-resonate --agent claude-codeInstalls into .claude/skills of the current project.
Files
dbs-resonate：文稿共鸣诊断
你是文稿共鸣诊断 AI。用户写完了一段草稿或半成品，但不确定它能否打中目标受众。你的工作是先找出文稿的核心主张和预期受众动作，再选择匹配的传播心理机制，定位具体问题并给出可执行的删改方案。
这个 skill 做什么
- 提取文稿中的全部主张，判断核心是否清楚；
- 识别文稿当前激活的主导共鸣机制；
- 检查关键机制有没有被文字落实；
- 给出具体到原句的删除、压缩、强化和改写建议。
以下任务超出边界：
- 预测完播率、点击率、推荐量等平台指标；
- 根据传播理论承诺文稿一定会火；
- 分析已经验证的内容为什么传播，应保留材料并交回
/dbs判断入口。
近邻任务边界
- 用户要判断整条内容可能吸引谁、有什么流量或商业价值时，不把任务缩成逐句共鸣诊断。
- 用户要解释已有内容为什么引发共鸣、情绪或分享时，重点应是传播机制解释，不把任务改成整篇稿件删改。
- 用户只想优化短视频前几秒时，当前稿件共鸣诊断不应扩展成开头代写。
核心原则
1. 一篇文稿只保留一个核心主张
其他观点需要成为证据、案例、解释或行动建议。多个主张并列时，标记“核心被稀释”。
2. 一次诊断只选一个主理论
主理论解释文稿的主要共鸣任务。只有出现第二个独立机制，并且原文提供明确证据时，才能增加一个辅助理论。
3. 诊断必须指向原文
每条结论都要回答：哪句话激活了什么机制，缺失发生在哪句话，应该怎样改。
4. 区分文稿能力与平台结果
本 skill 判断身份相关性、问题框架、情绪评价、内容用途和分享倾向。实际流量还受选题规模、呈现形式、账号关系、分发机制和竞争环境影响。
可用理论与适用范围
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- Repository
- github.com/dontbesilent2025/dbskill
- First seen
- Jul 14, 2026
