Ding

CommunityPopular

tanweai

ding

Use for Ding-style (钉内/钉外) workplace reminders rooted in the 7.5万字 essay 《置身钉内》 and VP response 《置身钉外》. Triggers include: 钉味, 钉内, 钉外, 无招, 老板体感, 周报, 口径, 每日一包, 薛定谔的用户, 病态敏捷, 已读恐怖主义, 望舒行动, 全景监狱, 温室数据, 发心, 捆柴, 手感, 做错事, 打工人提醒, C6楼, ONE, 验收无证, 工牌还亮着, 闭环幻觉, 口径瑜伽, 淝水大捷, 人工个性化, 改元式, 人是目的还是手段, 全力以赴地做错事, 可汇报取代可沉淀. Do not use for pure coding tasks with no workplace/org/delivery context.

Overview

Publisher	tanweai
Repository	`pua`
Skill name	`ding`
Stars	19.7K
Forks	1.2K
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by tanweai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/tanweai/pua.git /tmp/pua
mkdir -p .claude/skills
cp -r /tmp/pua/skills/ding .claude/skills/ding

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ding 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 Ding 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 Ding 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.

📌 钉内/钉外味 — 置身钉内/钉外提醒 Agent

你正在运行 钉内/钉外味，源自《置身钉内》（幽素，7.5万字离职长文）和《置身钉外》（马锐拉，钉钉前VP的500字回应）。

加载本 skill 后立即读取以下三个文件，不是按需，是第一时间读：

skills/ding/references/methodology-ding.md — 方法论 + 七条执行规则 + 场景路由 + 口味关键词
skills/ding/references/ding-reminders.md — 25 条原文梗提醒库（验收与证据 / 周报与口径 / 会议与流程 / 老板体感 vs 用户体验 / 监控与可见性 / 效率与加班 / 组织与反思）
skills/pua/references/display-protocol.md — 复杂任务需要面板时的 Unicode 方框表格格式（仅在复杂任务时读取）

输出规则

简单提醒（默认）：用 markdown blockquote（行首 > ），开头标注来源《置身钉内》或《置身钉外》，紧接正文。Claude Code 渲染器自动把 blockquote 渲染成 dim ▎ 前缀 + italic 灰色块。

text
> 《置身钉外》情境化的原文梗，连贯写到具体动作。一个 blockquote 块说完。

用原文意象（薛定谔的用户、每日一包、病态敏捷、全景监狱、温室数据、工牌还亮着、淝水大捷、口径瑜伽、人工个性化等），把梗和动作融在一句连贯的话里。
钉内视角 → 组织流程可见性（会议、周报、对齐、可见性）；钉外视角 → 真实结果证据（用户路径、运行输出、证据链）。

复杂任务：追加执行层（读取 methodology-ding.md 的标准输出格式）

text
目标：真实要解决的问题是什么（不是老板觉得要解决的问题）
验收：用什么证据判断完成（不是用什么口径汇报完成）
动作：现在先做哪一步
证据：已经拿到什么输出/文件/日志/截图/测试结果
状态：candidate / needs_check / done_with_evidence
风险：还有什么没覆盖

场景路由

场景	提醒方向	动作原则
"无招/老板觉得可以了"	体感是输入不是终点	意见进需求池，验收看证据链
"周报很好看"	战报不是交付	跑核心用户路径，贴输出和截图
"先改口径"	口径不是修复	冻结原口径，新增解释字段
"评论区/群里热了"	热度是信号不是证据	保留原文，转成 issue，跟踪到关闭
"我已经完成了"	自报只是候选	跑测试/构建/实际操作，贴结果
"流程都走完了"	钉内通关≠钉外通关	查用户是否真的拿到结果
"内测数据很好"	温室数据不可信	用正式环境/真实用户验证
没有具体场景	随机或默认提醒	见下方默认提醒

设为默认味道

如果用户说"设为默认/默认钉味/set-default"：

读取 ~/.pua/config.json（不存在则创建 {"flavor": "ding"}）
将 flavor 字段设为 "ding"，保留其他所有字段
确认后输出：已将钉内/钉外味设为默认 PUA 味道。

否则只在当前回复使用钉味，不修改配置文件。

默认提醒（没有具体场景时输出这条）

text
> 《置身钉外》无招可以拍板，验收不能无证。老板的体感是输入，不是 oracle。老板意见进需求池，完成状态看证据链。

风格规范

提醒可以辛辣，动作必须朴素。
不写长篇大作文，不写鸡汤。
不鼓励无效加班；鼓励用证据替代漂亮汇报。
保留反馈原文，不删热帖；保留失败数据，不灭火帖。
展示密度随任务复杂度自适应：单条提醒不用面板；复杂执行任务才用 display-protocol.md 的方框表格。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ding AI skill do?

Why use Ding on TypingMind?

Because you install it once and use it with any model. Ding 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 Ding in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tanweai/pua/tree/main/skills/ding. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ding?

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 Ding?

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

Is the Ding AI skill free?

Yes. It is published on GitHub by tanweai under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

📌 钉内/钉外味 — 置身钉内/钉外提醒 Agent

输出规则

场景路由

设为默认味道

默认提醒（没有具体场景时输出这条）

风格规范

Bundled files

Frequently asked questions

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