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Frontend To Backend Requirements

Checked
softaworks·vlatest·frontend·MIT

Helps with frontend development, backend development as part of developing backend services and APIs 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 softaworks/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

softaworks

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 softaworks/agent-toolkit at 3027f20f31.

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

Commit
3027f20f31
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 enables AI agents to automatically generate comprehensive backend requirements based on provided frontend specifications. It bridges the gap between UI design and server-side logic by analyzing interface needs to define necessary data models, API endpoints, and business rules.

When to use it

  • You have a finalized React or Vue component structure but lack a defined database schema.
  • Your team needs to validate if frontend state management aligns with backend data constraints before writing server code.
  • You are prototyping an MVP and need rapid generation of API contracts from wireframes or mockups.
  • You want to ensure consistent data flow definitions between the client interface and the server architecture.

Key capabilities

  • Parses frontend component hierarchies and state variables to infer backend data structures.
  • Generates specific API endpoint lists including HTTP methods, request bodies, and response formats.
  • Identifies required authentication flows and permission levels based on user interface roles.
  • Outputs structured documentation ready for implementation by backend developers.

Example prompts

  • "Analyze this React component tree and generate the corresponding SQL schema and REST API endpoints."
  • "Based on these frontend user stories, list the necessary database tables and their relationships."
  • "Create a JSON specification for the backend services required to support this dashboard UI layout."

Tips & gotchas

Ensure your frontend specifications include clear data types and validation rules; vague descriptions lead to generic backend suggestions. This tool is best used in early development stages to align teams before heavy coding begins, but manual review of generated logic is always recommended for complex business rules.