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Spec Generator

Checked
catlog22·vlatest·writing·MIT

Spec Generator — provides AI agent assistance for agent workflows.

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 catlog22/claude-code-workflow --skill spec-generator -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

catlog22

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 catlog22/claude-code-workflow at 07491b04ac.

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

Scanned
43 files, 9,117 lines
Copies in repo
3 — all of them scanned
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 Spec Generator skill assists AI agents in producing complete specification packages for software projects. It generates documents including a Product Brief, PRD (Product Requirements Document), Architecture documentation, and Epics through six sequential phases. The process involves analysis using command-line interfaces (CLI) and interactive refinement to ensure thoroughness and consistency. This skill focuses solely on document generation; execution handoff is handled by separate workflows.

When to use it

  • When you need a structured approach to creating comprehensive software specifications.
  • For projects requiring detailed documentation of product requirements, architecture, and epics.
  • To ensure consistent terminology and scope across all specification documents.
  • When needing an initial draft for a new project that can be refined through interactive discussion.

Key capabilities

  • Generates a full specification package including Product Brief, PRD, Architecture documentation, and Epics.
  • Uses six sequential phases: Specification Study, Discovery, Requirement Expansion, Product Brief creation, Requirements (PRD) definition, Architecture design, Epic & Story generation, and Readiness Check.
  • Incorporates multi-CLI analysis for parallel review of different aspects of the specification.
  • Supports interactive refinement through discussion and CLI gap analysis.
  • Includes an auto-fix feature to address inconsistencies identified during the readiness check (limited to two iterations).

Example prompts

  • "Generate a product specification package for a new mobile application."
  • "Create a PRD outlining the requirements for a user authentication system."
  • "Develop architecture documentation for a microservices-based API."

Tips & gotchas

  • Prerequisite: Phase 0, Specification Study, requires reading existing specifications and templates.
  • The skill generates documents; it does not execute any code or workflows. Handoff to execution workflows (like "lite-plan" or "plan") is a separate step.
  • Interactive refinement in Phase 1.5 ("Req Expansion") can be skipped using the -y auto flag for automated expansion, but this may reduce accuracy and require more manual review later.