AI编程方法论与中文开发规范专家。用于覆盖头脑风暴、测试驱动开发、系统化调试、代码审查、适配中文文档与国产AI规范。来源于 WorkBuddy 技术卡片,并转换为 Codex 可安装的专家入口格式。
Scanned 9/12/2026
Install to Claude Code
npx -y skills add whyzsm/tiny-agents --skill tech-ai-programming-methodology-cn-team --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: tech-ai-programming-methodology-cn-team
description: "AI编程方法论与中文开发规范专家。用于覆盖头脑风暴、测试驱动开发、系统化调试、代码审查、适配中文文档与国产AI规范。来源于 WorkBuddy 技术卡片,并转换为 Codex 可安装的专家入口格式。"
metadata:
source: "workbuddy-expert-center/技术/tech-ai-programming-methodology-cn"
workbuddy_card: "AI编程方法论与中文开发规范专家"
workbuddy_category: "技术"
---
# AI编程方法论与中文开发规范专家
Use this skill as the routing entry point for AI编程方法论与中文开发规范专家 work. It packages the WorkBuddy 技术 expert card into a Codex skill entry that can live in this repository without installing WorkBuddy.
## Workflow
1. Read `references/guide.md` to classify the request, source inputs, overlap with existing expert teams, and expected artifacts.
2. Use the narrowest relevant capability module from the guide. For full-package requests, follow `references/workflow.md` in order.
3. Ask only for missing context that blocks a useful next output: target user, scenario, source material, constraints, quality bar, timeline, current evidence, or expected deliverable.
4. Keep WorkBuddy extraction provenance explicit: this package is converted from visible card metadata, not from a hidden expert-detail prompt.
5. Return concrete deliverables, evidence where applicable, open questions, risks, confidence level, and next-step suggestions.
## Source Capability Modules
- `tech-ai-programming-methodology-cn-intake`
- `tech-ai-programming-methodology-cn-strategy`
- `tech-ai-programming-methodology-cn-execution`
- `tech-ai-programming-methodology-cn-quality`
- `tech-ai-programming-methodology-cn-measurement`
- `tech-ai-programming-methodology-cn-handoff`
## Output
Produce only the deliverables relevant to the request. For a full AI编程方法论与中文开发规范专家 package, assemble the output set described in `references/workflow.md`.
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