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To Spec

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vinvcn
to-spec

把当前对话转成 spec 并发布到项目 issue tracker——不做访谈,只综合已经讨论的内容。

Overview

Publishervinvcn
Repositorymattpocock-skills-zh-CN
Skill nameto-spec
Stars
4.3K
Forks
347
Bundled files
1
LicenseMIT
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the To Spec 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/vinvcn/mattpocock-skills-zh-CN.git /tmp/mattpocock-skills-zh-CN
mkdir -p .claude/skills
cp -r /tmp/mattpocock-skills-zh-CN/skills/engineering/to-spec .claude/skills/to-spec
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable To Spec 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 To Spec 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 To Spec 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.

这个 skill 使用当前 conversation context 和 codebase understanding 产出 spec。不要访谈用户,只综合你已经知道的内容。

Issue tracker 和 triage label vocabulary 应该已经提供给你;如果没有,运行 /setup-matt-pocock-skills

Process

  1. 如果还没有探索 repo,先探索它以理解 codebase 当前状态。在 spec 中始终使用项目 domain glossary vocabulary,并遵守相关 ADRs。

  2. 草拟你准备在哪些 seams 上测试这个 feature。优先使用现有 seams,而不是新增 seams。使用尽可能高层的 seam。如果确实需要新增 seams,尽可能在最高层提出。

Seams 越少越好,理想数量是一个。与用户确认这些 seams 是否符合预期。

  1. 使用下面模板写 spec,并发布到项目 issue tracker。应用 ready-for-agent triage label;不需要额外 triage。

Problem Statement

用户正在面对的问题,从用户视角描述。

Solution

问题的解决方案,从用户视角描述。

User Stories

一份很长的编号 user stories 列表。每条 user story 使用以下格式:

  1. As an , I want a , so that

这份 user stories 列表应该非常完整,覆盖 feature 的所有方面。

Implementation Decisions

已作出的 implementation decisions 列表。可以包括:

  • 将 build/modify 的 modules
  • 将 modify 的 module interfaces
  • 来自 developer 的技术澄清
  • Architectural decisions
  • Schema changes
  • API contracts
  • Specific interactions

不要包含具体 file paths 或 code snippets。它们可能很快过时。

例外:如果 prototype 产出的 snippet 比 prose 更精确地编码了某个决策(state machine、reducer、schema、type shape),可以内联到相关 decision 中,并简短说明它来自 prototype。只保留决策密集部分,不要放完整 working demo。

Testing Decisions

已作出的 testing decisions 列表。包括:

  • 什么是好测试的描述(只测试 external behavior,不测试 implementation details)
  • 哪些 modules 会被测试
  • 测试的 prior art(即 codebase 中类似类型的 tests)

Out of Scope

本 spec 范围外事项的描述。

Further Notes

关于 feature 的其他 notes。

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 To Spec AI skill do?

把当前对话转成 spec 并发布到项目 issue tracker——不做访谈,只综合已经讨论的内容。

Why use To Spec on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/main/skills/engineering/to-spec. 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 To Spec?

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 To Spec?

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

Is the To Spec AI skill free?

Yes. It is published on GitHub by vinvcn 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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