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Spec Authoring

Checked
jpiedrafita·vlatest·writing·MIT

Generates structured technical specifications from natural language prompts, streamlining documentation and ensuring consistent requirements.

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 jpiedrafita/agent-templates --skill spec-authoring -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

jpiedrafita

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 jpiedrafita/agent-templates at 5dfda265f1.

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

Scanned
1 file, 65 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 generate technical specifications. It can produce structured documents outlining requirements, functionalities, and design details for various projects or systems. The output is intended to be clear, concise, and suitable for development teams.

When to use it

  • Generating API documentation based on a high-level description of the functionality.
  • Creating detailed specifications for software features before implementation begins.
  • Outlining requirements for hardware components in an engineering project.
  • Producing structured technical reports from raw data and analysis.

Key capabilities

  • Generates technical specifications documents.
  • Produces structured output.
  • Supports various project types and systems.

Example prompts

  • "Write a specification document for a REST API endpoint that retrieves user profiles."
  • "Create a detailed specification for the 'image recognition' feature in our mobile app."
  • "Generate a technical report outlining the requirements for a new server rack."

Tips & gotchas

The quality of the generated specifications heavily depends on the clarity and detail provided in the prompt. Providing context and specific examples will yield better results.