dot-ai-process-feature-request
Process a feature request or response from another dot-ai project. Reads from tmp directory, implements/integrates, and writes response if needed.
适合你,如果需要在dot-ai项目间自动处理功能请求并集成代码。
/ 下载安装
/ 通过 npx 安装 校验哈希
npx oh-my-skill add vfarcic/dot-ai-cli/dot-ai-process-feature-request/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- vfarcic/dot-ai-cli/dot-ai-process-feature-request/ 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-process-feature-request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。
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怎么用
技能原文 SKILL.md
Process Feature Request/Response
Read and process a feature request or response from another dot-ai project.
Process
- Check for
tmp/feature-request.md(incoming request from another project) - If not found, check for
tmp/feature-response.md(response to a request we made) - If neither exists, tell the user there's nothing pending
For Incoming Request (feature-request.md)
- Present the request to the user and confirm they want to proceed
- Implement the requested feature
- Write a response file to the requesting project (path specified in the request)
- Delete the feature-request.md file after implementation is complete
For Response (feature-response.md)
- Read and present the response
- Use the information to continue integrating the feature
- Delete the feature-response.md file after integration is complete
Response File Format (for incoming requests only)
# Feature Response from [THIS_PROJECT] ## What Was Implemented [Brief description of what was built] ## How to Use It [API signatures, endpoints, types, parameters] ## Examples [Code examples showing how to call/use the feature] ## Notes [Any caveats, limitations, or additional context]
Guidelines
- Read and understand the full request/response before proceeding
- For requests: use your judgment on the best approach
- Write clear documentation in responses so the requesting project can integrate easily
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →
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