Releases: ifree2017/architect-fullstack-skill
v1.0.0 - Initial public release
English
Today I’m publishing the first public release of Architect Fullstack Skill.
This repository is a practical AI skill pack for:
- architects
- tech leads
- backend engineers
- fullstack engineers
- advanced AI coding users
The goal is simple:
make AI work more like a real engineering partner.
Instead of being a single large prompt, this repository is organized as a layered system:
core/for shared engineering mindsetadapters/for Claude / Cursor specific behaviorrules/for focused engineering rulesworkflow/for execution and review processesexamples/for reusable task promptspacks_rendered/for ready-to-use final skills
Current coverage
This initial public release includes support for:
- architecture design
- backend engineering
- API design
- database engineering
- review and refactoring
- release and rollback awareness
- Web frontend
- mini program
- app client collaboration
Ready-to-use entry points
You can start directly from:
- Claude →
packs_rendered/architect_fullstack_claude_skill.md - Cursor →
packs_rendered/architect_fullstack_cursor_skill.md - Backend →
packs_rendered/go_backend_engineering_skill.md - API →
packs_rendered/api_design_skill.md - Web →
packs_rendered/web_frontend_skill.md - Mini Program →
packs_rendered/miniprogram_skill.md - App Client →
packs_rendered/app_client_collaboration_skill.md - Review →
packs_rendered/engineering_review_skill.md - Release →
packs_rendered/engineering_release_skill.md
Scope of this public release
This public version intentionally includes only reusable, public-safe engineering content.
It does not include:
- private project structures
- internal company rules
- project-specific private context
- private pitfalls or internal operational knowledge
Why this repository exists
Many prompts are useful, but still too generic for serious engineering work.
This repository is built for people who want AI to be better at:
- architecture trade-offs
- implementation guidance
- engineering review
- debugging flow
- release and rollback thinking
Initial release notes
Included
- first public
core + adapterstructure - public rules for backend, API, database, release, frontend, Web, mini program, and app collaboration
- review and workflow templates
- task examples
- ready-to-use rendered skill packs
- English README and Chinese README
- MIT license
Direction going forward
Future updates may include:
- more task examples
- more specialized skill packs
- more workflow refinements
- better platform-specific adapters
- optional industry / domain templates
Thanks for checking it out.
If this skill pack helps your workflow, feel free to star the repository, open issues, or suggest improvements.
中文
这是 Architect Fullstack Skill 的第一次公开发布。
这个仓库是一套面向以下角色的实用型 AI Skill 包:
- 架构师
- Tech Lead
- 后端工程师
- 全栈工程师
- 高频使用 AI Coding 工具的高级用户
它的目标很简单:
让 AI 更像真正的工程伙伴。
和单条大 prompt 不同,这个仓库采用的是分层 Skill 结构:
core/:共用核心人格与工程标准adapters/:Claude / Cursor 的工具适配层rules/:专项工程规则workflow/:执行流程与评审方法examples/:可复用任务模板packs_rendered/:可直接复制使用的成品版 Skill
当前覆盖范围
本次首次公开版本已经覆盖:
- 架构设计
- 后端工程
- API 设计
- 数据库设计与优化
- Review 与重构
- 发布与回滚评估
- Web 前端
- 小程序
- App 客户端协作
可直接使用的入口
你可以直接从这些成品文件开始:
- Claude →
packs_rendered/architect_fullstack_claude_skill.md - Cursor →
packs_rendered/architect_fullstack_cursor_skill.md - Backend →
packs_rendered/go_backend_engineering_skill.md - API →
packs_rendered/api_design_skill.md - Web →
packs_rendered/web_frontend_skill.md - Mini Program →
packs_rendered/miniprogram_skill.md - App Client →
packs_rendered/app_client_collaboration_skill.md - Review →
packs_rendered/engineering_review_skill.md - Release →
packs_rendered/engineering_release_skill.md
本次公开版本的边界
这个公开版本只包含可复用的通用能力,不包含:
- 私有项目结构
- 企业内部规范
- 项目专属上下文
- 私有坑位和内部经验
为什么做这个仓库
很多 prompt 虽然有用,但在真实工程协作里仍然太泛。
这个仓库更关注的是让 AI 在以下方面更像真正的工程伙伴:
- 架构判断
- 实现落地
- 工程 review
- 排障流程
- 发布与回滚意识
初版说明
已包含
- 第一版公开的
core + adapter结构 - 后端、API、数据库、发布、前端专项规则
- Web、小程序、App 专项规则
- Review 与工作流模板
- 任务示例
- 可直接使用的成品版 Skill
- 英文 README 与中文 README
- MIT License
后续方向
后续版本可能继续补充:
- 更多任务模板
- 更多专项 Skill
- 更细的 workflow
- 更好的平台适配层
- 行业/业务域模板
如果这套 Skill 对你的工作流有帮助,欢迎 star、提 issue 或提出建议。