# 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.

- Skill: `vfarcic/dot-ai-process-feature-request` (Agent Skill)
- Install (CLI): `npx skillmds add vfarcic/dot-ai-process-feature-request`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vfarcic/dot-ai-process-feature-request/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vfarcic (https://skillmd.com/u/vfarcic)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/vfarcic/dot-ai-process-feature-request

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# Process Feature Request/Response

Read and process a feature request or response from another dot-ai project.

## Process

1. Check for `tmp/feature-request.md` (incoming request from another project)
2. If not found, check for `tmp/feature-response.md` (response to a request we made)
3. If neither exists, tell the user there's nothing pending

### For Incoming Request (feature-request.md)
1. Present the request to the user and confirm they want to proceed
2. Implement the requested feature
3. Write a response file to the requesting project (path specified in the request)
4. **Delete the feature-request.md file** after implementation is complete

### For Response (feature-response.md)
1. Read and present the response
2. Use the information to continue integrating the feature
3. **Delete the feature-response.md file** after integration is complete

## Response File Format (for incoming requests only)

```markdown
# 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

1. Read and understand the full request/response before proceeding
2. For requests: use your judgment on the best approach
3. Write clear documentation in responses so the requesting project can integrate easily