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Feature Design Assistant

Checked
vadimcomanescu·vlatest·other·MIT

Generates detailed feature designs, user stories, and acceptance criteria based on provided product requirements and context.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add vadimcomanescu/codex-skills --skill feature-design-assistant -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

vadimcomanescu

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned vadimcomanescu/codex-skills at 0fd6da0fcc.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
3 files, 386 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Feature Design Assistant skill helps users brainstorm, outline, and refine feature designs for software products. It can generate user stories based on a high-level feature description and suggest potential edge cases to consider during development. The assistant aims to streamline the initial design process and ensure comprehensive consideration of functionality.

When to use it

  • You need help fleshing out a new product feature idea.
  • You want to quickly generate user stories for an upcoming sprint.
  • You're looking for potential edge cases you might have missed in your current design.
  • You’re struggling to articulate the scope and requirements of a feature.

Key capabilities

  • Generates user stories from feature descriptions.
  • Suggests potential edge cases for features.
  • Helps outline feature designs.
  • Brainstorms feature ideas.

Example prompts

  • "Generate user stories for a 'dark mode' feature in our mobile app."
  • "What are some potential edge cases to consider when designing a password reset flow?"
  • "I want to add a new way for users to share content; brainstorm some initial ideas."

Tips & gotchas

The assistant is most effective with clear and concise descriptions of the desired feature. Providing context about the target audience or existing product can improve the quality of suggestions.