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Functional Design

Checked
taira0222·vlatest·backend

Generates detailed functional specifications and user stories from high-level project descriptions, ensuring clear development direction.

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 taira0222/juku-cloud-backend --skill functional-design -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

taira0222

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 taira0222/juku-cloud-backend at 093b89ab63.

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

Commit
093b89ab63
Manifest
.claude/skills/functional-design/SKILL.md
Scanned
3 files, 856 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 design functional specifications for software components. It can translate high-level requirements into detailed descriptions of inputs, outputs, and expected behavior. The agent can also generate test cases based on these functional designs, ensuring thorough validation.

When to use it

  • Software Development: Generate initial drafts of functional specifications before coding begins.
  • Requirements Gathering: Clarify ambiguous user stories by creating concrete functional descriptions.
  • Test Case Generation: Automatically create a suite of test cases based on the defined functionality.
  • API Design: Define and document API endpoints, including request/response formats and error handling.

Key capabilities

  • Generates functional specifications from requirements
  • Defines inputs and outputs for software components
  • Creates test cases based on functional designs
  • Supports API design documentation

Example prompts

  • "Design the functional specification for a user authentication service."
  • "Generate test cases for a function that calculates shipping costs."
  • "Describe the input parameters and expected output of an endpoint to retrieve product details."

Tips & gotchas

The quality of the generated specifications depends heavily on the clarity and detail provided in the initial requirements. Providing specific examples or use cases will improve the accuracy and usefulness of the functional design.