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Prd Writing

Checked
taira0222·vlatest·productivity

Crafts compelling product descriptions, marketing copy, and website content based on provided details and brand guidelines.

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 prd-writing -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.

Scanned
3 files, 531 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 helps AI agents generate Product Requirements Documents (PRDs). It can create comprehensive documents outlining product features, functionality, and user stories. The PRD generation includes sections like goals, target audience, feature descriptions, and acceptance criteria to ensure clarity for development teams.

When to use it

  • You need a detailed PRD created quickly before starting software development.
  • You want to clearly document the scope of a new product or feature.
  • You're struggling to articulate user needs and translate them into actionable requirements.
  • You require a structured format for communicating product specifications to stakeholders.

Key capabilities

  • PRD Generation
  • Feature Description
  • User Story Creation
  • Acceptance Criteria Definition
  • Target Audience Identification

Example prompts

  • "Write a PRD for a mobile app that helps users track their daily water intake."
  • "Generate a product requirements document outlining the features of an internal tool to manage employee vacation requests."
  • “Create a PRD for a new e-commerce feature allowing customers to save items to a wishlist.”

Tips & gotchas

The quality of the generated PRD depends heavily on the clarity and detail provided in the initial prompt. Providing context about the product's purpose, target users, and desired functionality will yield better results.