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Make Plan

Checked
thedotmack·vlatest·backend·Apache-2.0

Generates detailed, step-by-step plans to achieve complex goals, considering resources and potential obstacles.

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 thedotmack/claude-mem --skill make-plan -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

thedotmack

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 thedotmack/claude-mem at 2c177c776e.

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

Commit
2c177c776e
Manifest
plugin/skills/make-plan/SKILL.md
Scanned
2 files, 69 lines
Copies in repo
2 — 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 make-plan skill enables AI agents to generate structured, actionable plans based on user requests or goals. It transforms vague intentions into organized steps that the agent can execute sequentially.

When to use it

  • You need a clear roadmap before starting a complex multi-step task.
  • You want to break down a large project into manageable sub-tasks.
  • You require an AI agent to organize its thinking process before taking action.
  • You are unsure of the best approach and need the agent to propose a strategy first.

Key capabilities

  • Generates structured plans from natural language prompts.
  • Breaks down high-level goals into specific, actionable steps.
  • Organizes tasks logically for sequential execution.

Example prompts

  • "Create a plan to migrate my website from WordPress to a static site generator."
  • "Make a step-by-step plan to learn Python in 30 days, including resources and practice exercises."
  • "Generate a project plan for launching a new mobile app, covering design, development, and marketing phases."

Tips & gotchas

Ensure you provide enough context about your goals or constraints so the generated plan is relevant. The quality of the plan depends heavily on the specificity of your initial request; vague inputs may result in generic roadmaps.