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Create Spec

Checked
smartworkx·vlatest·writing

Automatically generates detailed technical specifications from high-level project descriptions, saving time and ensuring clarity.

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 smartworkx/dev-context --skill create-spec -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

smartworkx

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 smartworkx/dev-context at 68091bb238.

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

Commit
68091bb238
Manifest
create-spec/SKILL.md
Scanned
1 file, 61 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

The create-spec skill generates specification files based on natural language descriptions. It can produce structured output in formats suitable for various development contexts, such as API documentation or configuration files. This allows users to quickly define and formalize requirements without manual coding of specifications.

When to use it

  • API Design: Quickly generate OpenAPI/Swagger definitions from high-level API descriptions.
  • Configuration File Generation: Create initial drafts of configuration files (e.g., YAML, JSON) based on textual instructions.
  • Data Schema Definition: Define data schemas for databases or applications using natural language input.
  • Automated Documentation: Automatically create documentation from project requirements and feature descriptions.

Key capabilities

  • Generates specification files.
  • Supports multiple output formats (specific formats not listed).
  • Parses natural language descriptions.

Example prompts

  • "Create an OpenAPI spec for a simple user authentication API."
  • "Generate a YAML configuration file for a web server with port 80 and host localhost."
  • "Define a JSON schema for a product catalog with fields: name, description, price, and image_url."

Tips & gotchas

The quality of the generated specification depends heavily on the clarity and detail provided in the input prompt. Be as specific as possible when describing your desired outcome to ensure accurate results.