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technical-doc-creator

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mhattingpete·v1.0.0·backend·Apache-2.0

Create HTML technical documentation with code blocks, API workflows, system architecture diagrams, and syntax highlighting. Use when users request technical documentation, API docs, API references, co

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  1. 1

    Run this in your terminal

    terminal
    $ 

What we know about this skill

Publisher

mhattingpete

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 mhattingpete/claude-skills-marketplace at b5b34bcf4c.

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

Scanned
4 files, 1,175 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 generates HTML technical documentation based on provided information. It can incorporate various elements like code blocks, API workflow visualizations, system architecture diagrams, and syntax highlighting to produce comprehensive and well-formatted documents. The output is designed for clarity and ease of understanding for technical audiences.

When to use it

  • API Documentation: Generate reference materials for developers using your APIs.
  • Technical Manuals: Create user guides or manuals explaining how a system works.
  • Internal Knowledge Base: Build documentation for internal teams on specific technologies or processes.
  • System Architecture Diagrams: Produce visual representations of complex systems to aid in understanding and troubleshooting.

Key capabilities

  • Code block generation with syntax highlighting
  • API workflow visualization
  • System architecture diagram creation
  • HTML output formatting

Example prompts

  • "Create HTML documentation for the 'User Authentication' API, including request/response examples."
  • "Generate a technical document describing our data processing pipeline, and include a system architecture diagram."
  • "Produce HTML documentation with code blocks demonstrating how to use the 'Image Resizer' library in Python."

Tips & gotchas

The quality of the generated documentation depends heavily on the clarity and completeness of the input provided. Providing detailed information about API endpoints, code snippets, or system components will yield better results.