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dot-ai-request-dot-ai-feature

@vfarcic · 收录于 今天 · 上游提交 昨天

Generate a feature request prompt for another dot-ai project. Use when you need a feature implemented in a sibling project (MCP server, controller, etc.) to unblock work in the current project.

场景跨项目协作功能申请开发阻塞

适合你，如果需要在兄弟项目中提功能需求来推进当前项目

/ 下载安装
https://github.com/vfarcic/dot-ai-cli/tree/main/.claude/skills/dot-ai-request-dot-ai-feature ↗
/ 通过 npx 安装 校验哈希
npx oh-my-skill add vfarcic/dot-ai-cli/dot-ai-request-dot-ai-feature
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- vfarcic/dot-ai-cli/dot-ai-request-dot-ai-feature
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify vfarcic/dot-ai-cli/dot-ai-request-dot-ai-feature
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
7GitHub stars
~577上下文体积 · 单文件
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怎么用

技能原文 SKILL.md作者撰写 · MIT · af67e07

Request Feature in dot-ai Project

Write a feature request to a file in the target dot-ai project's tmp directory. The user will review and approve the write operation.

Projects

| Project | Directory | Description | |---------|-----------|-------------| | dot-ai | ../dot-ai | Main MCP server (API endpoints, tools, handlers) | | dot-ai-ui | ../dot-ai-ui | Web UI for visualizations and dashboard | | dot-ai-controller | ../dot-ai-controller | Kubernetes controller | | dot-ai-stack | ../dot-ai-stack | Stack deployment configs | | dot-ai-website | ../dot-ai-website | Documentation website |

Important: Do NOT use this skill to request features in the project you're currently working in. Just implement them directly.

Process
  1. Determine the target project from the user's request
  2. Determine the current project name from the directory name: basename $(git rev-parse --show-toplevel)
  3. Delete any existing feature-request.md in the target project's tmp directory (so the diff only shows new content)
  4. Write the feature request to: ../[target-project]/tmp/feature-request.md
  5. Tell the user to open the target project and run /process-feature-request
File Format

Write the feature request file with this content (replace [CURRENT_PROJECT] with the actual project name from step 2):

# Feature Request from [CURRENT_PROJECT]

**Requesting project directory:** ../[CURRENT_PROJECT]

## What We Need

[DESCRIPTION OF WHAT WE NEED AND WHY]

## Our Suggestion

(You decide the best approach)

- [Suggested approach or implementation idea]

## Context

[What this unblocks in our project]

## Notes

You're the expert on this codebase. Feel free to implement this differently if there's a better approach, or push back if this doesn't make sense.

## Response Instructions

After implementing this feature, write a response file to help the requesting project integrate:

1. Write to: `../[CURRENT_PROJECT]/tmp/feature-response.md`
2. Include: what was implemented, how to use it (API signatures, endpoints, types), and any usage examples
Guidelines
  1. Describe what you need and why, not how to implement it
  2. Suggestions are just suggestions - the receiving agent decides the approach
  3. The receiving agent is the authority on their codebase
  4. Keep the request focused on the problem, not the solution
  5. The user will review the write operation before it's accepted
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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