vfarcic/dot-ai-skills/request-dot-ai-feature

Claude Code and agent skill by vfarcic/dot-ai-skills

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Checking that the SKILL.md file is still in the repository.

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.

Install

npx vskill@latest install vfarcic/dot-ai-skills/request-dot-ai-feature

SKILL.md

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

ProjectDirectoryDescription
dot-ai../dot-aiMain MCP server (API endpoints, tools, handlers)
dot-ai-ui../dot-ai-uiWeb UI for visualizations and dashboard
dot-ai-controller../dot-ai-controllerKubernetes controller
dot-ai-stack../dot-ai-stackStack deployment configs
dot-ai-website../dot-ai-websiteDocumentation 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):

markdown
# 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

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
1
7-day trend score
8

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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