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46 changes: 46 additions & 0 deletions src/content/skills-zh/thought-codec.md
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---
slug: thought-codec
---

## 使用场景

- 将产品或业务意图转化为架构、数据模型、API 契约和实施脚手架
- 将宏观目标转化为包含里程碑、交付物和检查点的可审核 SOP
- 从重复反馈、纠错和对话轨迹中提取长期可复用的提示词规则
- 将重复或混乱的代码转化为可复用组件、清晰接口和工程规则
- 建立连接计划、执行、审核和规则更新的个人 AI 方法论闭环

## 核心能力

- **架构级脚手架生成器**:将业务逻辑解压为工程可执行的架构和实施结构
- **标准作业程序实例化引擎**:把高层目标转化为具体操作流程
- **规则与提示词迭代器**:把重复反馈压缩为可复用提示词规则或 Skill 更新
- **代码与组件重构器**:识别可复用代码模式,并定义更安全的抽象边界
- **个人方法论引擎**:把解压与压缩组合成可持续运行的个人 AI 工作流

## 包含的 Skill

```
architecture-scaffolding
sop-instantiation
rule-prompt-optimizer
code-abstraction-encapsulation
personal-methodology-engine
```

## 示例

```
使用 ThoughtCodec 思维编解码 Skill 库。

目标:把一个粗略产品想法转化为工程可执行计划。
背景:该产品需要用户角色、核心流程、数据状态、API 和分阶段实施方案。
输出:选择最合适的 ThoughtCodec 子 Skill,并输出架构、数据模型、API 契约、验证清单和开放问题。
```

## 注意事项

- ThoughtCodec 是中英双语 Skill 库,每个子 Skill 都提供英文和简体中文版本
- 安装命令会把所有子 Skill 文件夹复制到 `~/.qoder/skills/`
- 应根据任务选择具体子 Skill,而不是把所有请求都当作通用提示词处理
- 将反馈压缩为可复用规则时,不应保存私人、敏感或专有示例
70 changes: 70 additions & 0 deletions src/content/skills/thought-codec.md
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---
name: thought-codec
title: ThoughtCodec
description: Bilingual AI skill library for decompressing intent into executable workflows and compressing practice back into reusable skills
source: community
author: Cottzz
githubUrl: https://github.com/Cottzz/thought-codec
docsUrl: https://github.com/Cottzz/thought-codec/blob/main/README.md
category: meta
tags:
- skills
- workflow
- methodology
- architecture
- prompts
roles:
- developer
- pm
featured: false
popular: false
isOfficial: false
installCommand: |
git clone https://github.com/Cottzz/thought-codec
mkdir -p ~/.qoder/skills
cp -r thought-codec/skills/* ~/.qoder/skills/
date: 2026-07-07
---

## Use Cases

- Turn product or business intent into architecture, data models, API contracts, and implementation scaffolds
- Convert broad goals into auditable SOPs with milestones, deliverables, and checks
- Extract durable prompt rules from repeated feedback, corrections, and conversation traces
- Turn repeated or messy code into reusable components, clean interfaces, and engineering rules
- Build a personal AI methodology loop that connects planning, execution, review, and rule updates

## Core Capabilities

- **Architecture Scaffolding**: Decompress business logic into engineering-ready architecture and implementation structure
- **SOP Instantiation**: Convert high-level objectives into concrete operating procedures
- **Rule And Prompt Optimization**: Compress repeated feedback into reusable prompt rules or skill updates
- **Code Abstraction And Encapsulation**: Identify reusable code patterns and define safer abstraction boundaries
- **Personal Methodology Engine**: Combine decompression and compression into a sustainable personal AI workflow

## Included Skills

```
architecture-scaffolding
sop-instantiation
rule-prompt-optimizer
code-abstraction-encapsulation
personal-methodology-engine
```

## Example

```
Use the ThoughtCodec skill library.

Goal: Turn a rough product idea into an engineering-ready plan.
Context: The product needs user roles, core workflows, data state, APIs, and staged implementation.
Output: Choose the best ThoughtCodec sub-skill and produce the architecture, data model, API contract, validation checklist, and open questions.
```

## Notes

- ThoughtCodec is a bilingual skill library, with English and Simplified Chinese versions for each included skill
- Install command copies all included skill folders into `~/.qoder/skills/`
- Use the specific sub-skill that matches the task instead of treating every request as a generic prompt
- Avoid storing private, sensitive, or proprietary examples when compressing feedback into reusable rules
5 changes: 5 additions & 0 deletions src/i18n/skills-translations.ts
Original file line number Diff line number Diff line change
Expand Up @@ -377,6 +377,11 @@ export const skillsTranslations: Record<string, SkillTranslation> = {
zhTitle: 'Skill 模板',
zhDescription: '创建新 Skills 的基础模板,快速开始 Skill 开发',
},
'thought-codec': {
zhName: '思维编解码',
zhTitle: 'ThoughtCodec 思维编解码',
zhDescription: '中英双语 AI Skill 库,用于把抽象意图解压为可执行工作流,并把反复实践压缩为可复用 Skill',
},
};

/**
Expand Down