Skip to content
TrustedSkillsbeta
Back to all skills

Dex Plan

Checked
dcramer·vlatest·productivity·MIT

Dex-Plan generates detailed, executable plans from natural language instructions for robotic manipulation tasks.

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 dcramer/dex --skill dex-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

dcramer

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 dcramer/dex at 3f55b2a3ec.

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

Commit
3f55b2a3ec
Manifest
plugins/dex/skills/dex-plan/SKILL.md
Scanned
1 file, 450 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 dex-plan skill allows AI agents to generate structured plans from natural language instructions. It breaks down complex tasks into smaller, manageable steps with clear dependencies. This enables the agent to execute tasks more reliably and efficiently by creating a roadmap before action.

When to use it

  • Complex Task Decomposition: When you need an agent to handle multi-step processes that require careful sequencing of actions.
  • Workflow Automation: To create plans for automated workflows, ensuring each step is accounted for and dependencies are met.
  • Goal-Oriented Planning: When the agent needs a clear plan to achieve a specific goal, especially when the path isn't immediately obvious.
  • Troubleshooting & Debugging: Generate a plan to systematically diagnose and resolve issues by outlining steps to investigate and test potential solutions.

Key capabilities

  • Generates structured plans from natural language input.
  • Breaks down tasks into smaller, actionable steps.
  • Identifies dependencies between steps in the plan.

Example prompts

  • "Create a plan for writing a blog post about AI agent skills."
  • "Generate a step-by-step plan to troubleshoot a failing internet connection."
  • "Plan out how to organize a team offsite event, including venue selection and activity scheduling."

Tips & gotchas

The quality of the generated plan depends heavily on the clarity and specificity of the initial prompt. Providing detailed context or constraints can significantly improve the plan's usefulness.