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Agent skill

Dot AI Request Dot AI Feature

by vfarcic in vfarcic/dot-agent-deck

Generate a feature request prompt for another dot-ai project.

MITAuto-check passedAgent Workflows

Install Dot AI Request Dot AI Feature

skills CLI
$ npx skills add vfarcic/dot-agent-deck --skill dot-ai-request-dot-ai-feature -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vfarcic/dot-agent-deck dot-ai-request-dot-ai-feature --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vfarcic/dot-agent-deck.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/dot-ai-request-dot-ai-feature .claude/skills/dot-ai-request-dot-ai-feature && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dot-ai-request-dot-ai-feature
GitHub stars
109
Token cost
~679 tokens
SKILL.md length
219 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

Generate a feature request prompt for another dot-ai project.

  • Works in 5 steps: Determine the target project from the… → Determine the current project name from… → Delete any existing feature-request.md… → …
  • You need a feature implemented in a sibling project (MCP server
  • SKILL.md covers Projects, Process, File Format and Guidelines
  • Calls git

What it does

Dot AI Request Dot AI Feature is an agent skill from vfarcic/dot-agent-deck. 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.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: A rich terminal dashboard for monitoring and controlling multiple AI coding agent sessions. The licence is MIT.

When your agent uses it

  • You need a feature implemented in a sibling project (MCP server
  • Etc.) to unblock work in the current project

Example prompts

  • “/dot-ai-request-dot-ai-feature”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 9cc3e60. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dot AI Request Dot AI Feature loads about 679 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 219 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~679

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from vfarcic/dot-agent-deck at commit 9cc3e60, republished under its MIT licence (© vfarcic). 219 words, ~679 tokens.

Download SKILL.mdSave it as .claude/skills/dot-ai-request-dot-ai-feature/SKILL.md (or your agent's skills folder).
name
dot-ai-request-dot-ai-feature
description
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.
user-invocable
true

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

© vfarcic, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/dot-ai-request-dot-ai-feature of vfarcic/dot-agent-deck.

Open the folder on GitHubat commit 9cc3e60

Compare with similar skills

Dot AI Request Dot AI Feature next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dot AI Request Dot AI Feature compared with similar skills
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MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Dot AI Request Dot AI Feature

What does Dot AI Request Dot AI Feature do?

Generate a feature request prompt for another dot-ai project. Dot AI Request Dot AI Feature is an agent skill from vfarcic/dot-agent-deck. Generate a feature request prompt for another dot-ai project.

When should I use Dot AI Request Dot AI Feature?

Dot AI Request Dot AI Feature fits situations like: you need a feature implemented in a sibling project (MCP server; etc.) to unblock work in the current project.

How do I install Dot AI Request Dot AI Feature in Claude Code?

Run `npx skills add vfarcic/dot-agent-deck --skill dot-ai-request-dot-ai-feature -a claude-code`. Or copy the skill folder (.claude/skills/dot-ai-request-dot-ai-feature in vfarcic/dot-agent-deck) into .claude/skills/dot-ai-request-dot-ai-feature in your project. Claude Code loads it when a task matches its description.

How do I install Dot AI Request Dot AI Feature in Codex?

Run `npx skills add vfarcic/dot-agent-deck --skill dot-ai-request-dot-ai-feature -a codex`. Or copy the skill folder (.claude/skills/dot-ai-request-dot-ai-feature in vfarcic/dot-agent-deck) into .agents/skills/dot-ai-request-dot-ai-feature in your project. Codex loads it when a task matches its description.

Can I use Dot AI Request Dot AI Feature in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vfarcic/dot-agent-deck --skill dot-ai-request-dot-ai-feature -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dot-ai-request-dot-ai-feature, .gemini/skills/dot-ai-request-dot-ai-feature, .github/skills/dot-ai-request-dot-ai-feature and .opencode/skills/dot-ai-request-dot-ai-feature in your project.

What does Dot AI Request Dot AI Feature need to run?

Going by SKILL.md and its folder, Dot AI Request Dot AI Feature needs the command-line tools its instructions call (git).

Does Dot AI Request Dot AI Feature access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Dot AI Request Dot AI Feature safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dot AI Request Dot AI Feature use?

Dot AI Request Dot AI Feature is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dot AI Request Dot AI Feature use?

About 679 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dot AI Request Dot AI Feature?

Skills that share tags, products or a category with Dot AI Request Dot AI Feature: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dot AI Request Dot AI Feature?

vfarcic (a GitHub user) maintains it in vfarcic/dot-agent-deck, which has 109 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 10, 2026.

Source: vfarcic/dot-agent-deck on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.