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Develop

Organization
evidentloop
develop

开发实施阶段入口;聚合任务执行、状态更新、知识库同步与收尾状态规则,按需加载 references/assets/scripts。

Overview

Publisherevidentloop
Repositorysopify
Skill namedevelop
Stars
368
Forks
30
Bundled files
5
LicenseApache-2.0
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Develop 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.
    https://github.com/evidentloop/sopify/tree/main/skills/zh/skills/sopify/develop
  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/evidentloop/sopify.git /tmp/sopify
mkdir -p .claude/skills
cp -r /tmp/sopify/skills/zh/skills/sopify/develop .claude/skills/develop
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Develop 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 Develop 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 Develop 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.

Develop(入口文档)

核心哲学:有验证证据才算完成——"应该没问题"不是证据。

何时激活

  • 进入开发实施阶段(workflow / light_iterate / quick_fix;当 ~go 检测到活动 plan 时自动路由至 exec_plan)。
  • 需要执行任务清单、更新状态并收敛交付结果。

执行骨架

  1. 读取活动方案任务(tasks.md 或 light 的 plan.md)。
  2. 提取待执行任务并按编号顺序执行。
  3. 每完成一步更新任务状态([ ] -> [x] / [-] / [!])。
  4. 同步知识库与偏好/反馈(保守写入)。
  5. 方案完成后将 plan.md 生命周期元数据更新为 ready_to_archive,继续保留在 plan/。
  6. 按结果输出成功/部分成功/快速修复摘要。

资源导航

  • 长规则:references/develop-rules.md
  • 共享写作规范:../references/shared-writing-dna.md(所有输出遵循)
  • 输出契约:../references/output-contract.md(必需 section、密度梯度、符号纪律、脱敏规则)
  • 输出模板:assets/*.md
  • 任务提取脚本:scripts/extract_pending_tasks.py

确定性逻辑(脚本优先)

当需要可审计地提取任务状态时,优先调用:

bash
python3 skills/zh/skills/sopify/develop/scripts/extract_pending_tasks.py \
  --tasks-file .sopify/plan/<plan>/tasks.md

脚本输出 JSON,包含:待执行任务、状态统计与执行顺序。

边界

  • 本技能负责执行与收尾,不负责重新定义方案结构(交给 design)。
  • ready_to_archive 只是 plan.md 元数据;只有显式 ~go finalize 才通过 sopify_writer 归档。
  • 回滚属于显式用户动作,必须保留可追溯记录。

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 Develop AI skill do?

开发实施阶段入口;聚合任务执行、状态更新、知识库同步与收尾状态规则,按需加载 references/assets/scripts。

Why use Develop on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/evidentloop/sopify/tree/main/skills/zh/skills/sopify/develop. 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 Develop?

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 Develop?

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

Is the Develop AI skill free?

Yes. It is published on GitHub by evidentloop under the Apache-2.0 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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