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Frontend To Backend Requirements

Checked
cachemoney·vlatest·frontend·MIT

Helps with frontend development, backend development as part of building frontend UIs and user experiences workflows.

Repository

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 cachemoney/agent-toolkit --skill frontend-to-backend-requirements -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

cachemoney

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 cachemoney/agent-toolkit at f9cea03dc9.

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

Commit
f9cea03dc9
Manifest
skills/frontend-to-backend-requirements/SKILL.md
Scanned
2 files, 339 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

This skill translates frontend user input into structured backend requirements. It takes unstructured text, such as a description of a desired feature or functionality, and converts it into a more formal specification suitable for developers. This helps bridge the gap between users and technical teams, ensuring clarity and reducing misunderstandings during development. The output is designed to be usable by other tools and systems.

When to use it

  • Feature Request Refinement: When a user describes a new feature in natural language, this skill can transform that into actionable requirements for engineering.
  • Bug Report Analysis: Convert vague bug reports from users into structured data that developers can understand and address.
  • Automated Task Creation: Automatically generate task tickets or database entries based on user-provided descriptions of work to be done.
  • API Specification Generation: Translate high-level API design concepts into detailed specifications for implementation.

Key capabilities

  • Frontend input parsing
  • Structured requirement generation
  • Output suitable for other tools/systems

Example prompts

  • "Turn this user story into backend requirements: 'As a user, I want to be able to filter products by price.'"
  • "Convert the following bug report into structured data: 'The search function isn't working correctly.'"
  • “Generate requirements for an API endpoint that allows users to upload profile pictures.”

Tips & gotchas

This skill requires clear and concise frontend input. Ambiguous or overly complex descriptions may result in less accurate backend requirement generation.