dbs-resonate
Diagnoses resonance mechanisms, problem locations, and revision directions using communication and social psychology theories tailored to the draft. Ideal when users worry about low traffic, failing to resonate with audiences, low completion rates, or are unsure whether content is ready to publish.
1How It Works & Mechanism
A pure prompt-orchestrated theoretical diagnostic engine: The knowledge base is an inlined table in SKILL.md featuring 5 primary theories + 3 conditional theories (including authors, years, and DOIs), breaking 'resonance' down into a step-by-step screening checklist of mechanisms.
| 社会认同与自我分类 | Tajfel、Turner,1979;Turner 等,1987 |
The diagnostic workflow follows a strict 5-step sequence: 'Define claim → Select mechanism → Locate problem → Prescribe revisions', avoiding premature rewriting suggestions.
### Step 2:确定核心主张和目标动作
Core Discipline 1: Retain only one core claim per draft; multiple parallel claims are flagged as 'diluted core'.
### 1. 一篇文稿只保留一个核心主张
Core Discipline 2: Select only one primary theory per diagnosis; secondary theories must meet three strict conditions (covering a new mechanism + explicit trigger evidence in the original text + removing it would lose a key recommendation).
1. 它解释主理论没有覆盖的新机制;
Core Discipline 3: Every conclusion must tie back to specific sentences in the source text—identifying which sentence activates which mechanism, where the gap occurs, and how to revise it.
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。
Core Discipline 4: Decouple 'draft capability' from 'platform outcomes', explicitly listing three out-of-scope commitments (predicting metrics, promising virality, analyzing already viral content).
预测完播率、点击率、推荐量等平台指标;
Output format is standardized into a 6-section diagnostic report with icons (Core Mechanism Review, Theoretical Diagnosis, Concrete Revisions, etc.), with revisions categorized into four specific actions: Delete, Compress, Reinforce, or Keep.
删除:[具体内容和原因]
Includes 5 reusable common problem patterns (ambiguous target identity, framework lacking causal bridge, emotion labels only, unclear utility, insufficient sharing incentive) acting as diagnostic accelerators.
### 模式 3:只有情绪标签
2Core Capabilities
4Recommended Governance & Evidence
- SKILL.md: Pure prompt instructions and rule text, without script execution or external side effects
5Second-Pass Verification
- [ok] 外部资源/工具:是否引用了 SKILL.md 未内联的外部文献或服务 — 理论仅以「作者+年份+DOI」文字形式内联,无链接抓取、无参考文献文件、无 API。DOI 只是可核对标识,不构成网络调用。external_deps 空数组成立。
- [ok] 安全结论:是否存在文件读写遗漏 — 全文无读取文件指令(不要求读用户草稿文件,用户直接贴进对话即可),无落盘要求;输出是对话内的 markdown 诊断报告。
- [ok] 实现原理是否成立:理论机制是否真能落到「改哪一句」 — Step 4 要求「说明问题出现在哪一句,并写清缺少身份、归因、评价路径、内容用途或传播理由中的哪一项」;Step 5 与输出模板的【具体改法】要求给出具体原句与改法。机制到句子的映射是设计内的强制项,不是可选建议。
- [ok] 理论表完整性:条件理论是否真的「只在条件下使用」 — 条件理论表三行各带触发条件,且正文另加禁令「禁止把条件理论泛化成日常共鸣标签」;Step 3 再次要求「条件理论必须满足对应触发条件」。三处要求一致,无冲突。
- [unlocatable] 证据定位:仓库级元数据(stars/last_push)与 installs — stars=10121、last_push=2026-09-07 来自站点池 data/pool.json(GitHub API 采集),pin 源码内无法逐字定位;installs 未采集记 null。license 可在仓库根 LICENSE 逐字命中。
6Verdict & Scenarios
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