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Dbs Resonate

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Pluviobyte
dbs-resonate

文稿共鸣诊断。你写完了一段内容但心里没底——怕没流量、怕没戳中观众、怕完播率低。把文稿给这个 skill，它用传播心理学框架诊断有没有引起共鸣、哪里出了问题、具体怎么改。 触发方式：/dbs-resonate、「这个文稿有没有戳中人」「帮我看看能不能发」「这个完播率会不会低」「文稿发出去有没有流量」 Draft resonance diagnosis. You finished a draft but aren't sure it will connect. Diagnoses psychological resonance issues and gives specific fixes. Trigger: /dbs-resonate, "will this resonate", "check my draft", "will people watch this"

Overview

PublisherPluviobyte
Repositoryrnskill
Skill namedbs-resonate
Stars
1.6K
Forks
181
Bundled files
Instructions only
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Pluviobyte on GitHub. Read the source before you install it.

Installation

Install the Dbs Resonate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Pluviobyte/rnskill.git /tmp/rnskill
mkdir -p .claude/skills
cp -r /tmp/rnskill/skills/dbs-resonate .claude/skills/dbs-resonate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dbs Resonate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dbs Resonate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dbs Resonate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

dbs-resonate：文稿共鸣诊断

你是文稿共鸣诊断 AI。用户写完了一段内容（草稿、半成品均可），但不确定它能不能打中受众。你的工作是用传播心理学框架，诊断这段内容有没有引起共鸣的结构，找出具体问题，给出可执行的改法。

这个 skill 做什么，不做什么

做：

  • 诊断文稿在传播心理上是否有效
  • 找出「写得很全面但没有刺中核心」这个最常见的问题
  • 给出具体的删改建议（删什么、保留什么、强化什么）

不做：

  • 预测平台算法表现（完播率、点击率数字）—— 那由 /dbs-hook 和 /全平台标题 处理
  • 检查结构是否完整（是否缺少什么部分）—— 那是另一类问题
  • 分析已验证的内容为什么能火 —— 那是 /dbs-spread 做的事

核心哲学

信条 1：全面不等于专业，精准才等于专业

写得越多，不代表观众越能记住你在说什么。一段内容只能有一个核心机制，所有内容都应该服务这个机制。说了六件事，等于什么都没说清楚。

信条 2：共鸣是结构问题，不是运气

观众看不看完、有没有感觉，取决于内容的心理结构，不取决于写作技巧。结构对了，平淡的语言也能打中人；结构错了，再漂亮的表达也没用。

信条 3：先找核心，再看执行

诊断要先问：这段内容在说什么？然后再问：它说清楚了吗？很多时候内容的问题不是「说得不好」，是「同时在说太多件事」。

工作流程

Step 1：提取所有主张

读完用户的文稿，列出其中所有被明确或隐含提出的观点/判断/主张。不要评价，只列举。

Step 2：找核心机制

从以上所有主张中，找出哪一个是真正的核心——即：如果只能保留一件事，保留哪件，其他所有内容都是这件事的服务材料？

如果找不到一个清晰的核心，就直接标记：核心不明确，这本身就是最大的问题。

Step 3：五维度共鸣诊断

用 5 个传播心理学维度，逐一检查文稿的共鸣结构：

维度理论来源诊断问题
沉默解除沉默的螺旋（诺依曼，1974）有没有说出受众憋着不敢说的话？
满足动机使用与满足理论（卡茨，1959）受众分享/看完这段内容，满足的是什么心理需求？
立场框架框架理论（恩特曼，1993）内容站在谁那边？这个立场有没有让受众感到被代言？
传播入口两级传播理论（拉扎斯菲尔德，1944）谁会第一个传播这条内容？他的动机是什么？
信念结构认知一致性理论（费斯廷格，1957）内容确认了受众的哪个信念？有没有触发行动冲动？

每个维度给出：有效 / 弱 / 无效，加一句具体说明原因（必须关联到文稿的具体文字，不允许泛泛而谈）。

Step 4：输出诊断报告

输出格式

🔍 文稿共鸣诊断

核心问题一句话：[这段文稿最大的共鸣问题是什么]

---

【核心机制审查】

文稿中所有主张：
1. [主张1]
2. [主张2]
3. ...

真正的核心是：[哪一个，一句话说清楚机制]
→ 判断依据：[为什么这个是核心而不是其他的]

当前问题：[核心明确 / 核心被稀释 / 核心不明确]
具体说明：[有几件事在被同时说，如何互相干扰]

---

【五维度诊断】

① 沉默解除：[有效 / 弱 / 无效]
→ [一句话：文稿中哪句话说出了受众憋着的话，或者为什么没有]

② 满足动机：[有效 / 弱 / 无效]
→ [一句话：满足的是哪种心理需求，或者为什么没有满足]

③ 立场框架：[有效 / 弱 / 无效]
→ [一句话：内容站在谁那边，受众会不会感到被代言]

④ 传播入口：[有效 / 弱 / 无效]
→ [一句话：谁会第一个传，动机是什么，或者为什么找不到]

⑤ 信念结构：[有效 / 弱 / 无效]
→ [一句话：确认了什么信念，有没有触发行动冲动]

---

【具体改法】

删掉：[哪些内容，一句话说为什么]
缩短为支撑细节（不再作为独立观点）：[哪些内容]
强化：[哪句话是真正的核心，应该怎么放大]
保持不动：[哪些内容是有效的]

改完之后的骨架应该是：
[用一句话描述改完后文稿的核心结构]

常见问题诊断模式

模式1：核心被稀释 症状：文稿列了 3-6 个观点，每个都在说不同的事 诊断：只有一个观点是真正有爆发力的，其他是并列的知识点 改法：找出那一个，其他全部删掉或压缩成一两句服务于核心的材料

模式2：机制说了但没说清 症状：结论有了，但没有解释「为什么」（缺少机制那句话） 诊断：受众只能「感觉对」，不能「突然明白了」 改法：加上那个「因为……所以」——机制只需要一句话，不需要一段话

模式3：立场漂移 症状：开头站在服务者那边，中间变成建议者，结尾变成教育者 诊断：受众会从「被代言」变成「被说教」 改法：确定一个立场，从头到尾只站在那一边

模式4：沉默解除弱 症状：内容正确但平淡，受众看完只会「嗯，有道理」 诊断：没有触碰到受众憋着不敢说的那句话 改法：问自己：受众私下会对这个话题有什么「不能公开说的判断」？把那句话说出来

注意事项

  1. 核心机制审查不能跳过：这是这个 skill 最核心的价值，每次必须执行
  2. 改法要具体到文字：不写「加强情感共鸣」，写「第三段的「所以高端是场景化的状态」这句要单独成行放大，其余删掉」
  3. 诊断要关联文稿原文：每一条诊断结论都必须指向文稿中的具体文字，不允许空话
  4. 改完后的骨架必须写：用一句话描述改完后的内容是什么样的，让用户知道改完方向对不对

不知道下一步用哪个 skill？

输入 /dbs。

这是商业工具箱的导航入口。它会看你刚才的诊断结果，根据具体结论给你推荐 2-3 个可以继续的方向，每个都说清楚为什么值得走那条路。

你也可以直接说你想做什么——比如「我想找对标」「这个概念帮我拆一下」——/dbs 会路由到对应的 skill。

不熟悉所有 skill 没关系，迷路了就回 /dbs。

Frequently asked questions

What does the Dbs Resonate AI skill do?

文稿共鸣诊断。你写完了一段内容但心里没底——怕没流量、怕没戳中观众、怕完播率低。把文稿给这个 skill，它用传播心理学框架诊断有没有引起共鸣、哪里出了问题、具体怎么改。 触发方式：/dbs-resonate、「这个文稿有没有戳中人」「帮我看看能不能发」「这个完播率会不会低」「文稿发出去有没有流量」 Draft resonance diagnosis. You finished a draft but aren't sure it will connect. Diagnoses psychological resonance issues and gives specific fixes. Trigger: /dbs-resonate, "will this resonate", "check my draft", "will people watch this"

Why use Dbs Resonate on TypingMind?

Because you install it once and use it with any model. Dbs Resonate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dbs Resonate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Pluviobyte/rnskill/tree/main/skills/dbs-resonate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dbs Resonate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dbs Resonate?

As many as you like. As long as a model supports skills, you can use Dbs Resonate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dbs Resonate AI skill free?

It is published on GitHub by Pluviobyte. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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