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Planning Doc Generator

Checked
matteocervelli·vlatest·utilities·MIT

Generates structured documents like proposals, reports, or outlines based on provided information and desired format.

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 matteocervelli/llms --skill planning-doc-generator --full-depth -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

matteocervelli

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 matteocervelli/llms at 1e1f2089eb.

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

Commit
1e1f2089eb
Manifest
.archive/claude-v1/skills/planning-doc-generator/SKILL.md
Scanned
3 files, 304 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 planning-doc-generator skill creates structured documents outlining a plan to achieve a specific goal. It generates these plans in markdown format, making them easy to read and edit. The generated document includes sections for objectives, tasks, resources, and timelines.

When to use it

  • Project Planning: Generate an initial project plan with defined steps and deadlines.
  • Event Organization: Create a detailed checklist and schedule for organizing events.
  • Content Creation Strategy: Outline the steps needed to produce a series of blog posts or articles.
  • Goal Decomposition: Break down large, complex goals into smaller, manageable tasks.

Key capabilities

  • Generates markdown documents.
  • Includes sections for objectives, tasks, resources, and timelines.
  • Creates plans based on user-provided goals.

Example prompts

  • "Create a plan to launch a new mobile app."
  • "Generate a document outlining the steps needed to write a book."
  • "Plan a marketing campaign for a new product, including objectives, tasks and timelines."

Tips & gotchas

The quality of the generated plan depends heavily on the clarity and specificity of the initial prompt. Providing detailed context will yield more useful results.