Skip to content
TrustedSkillsbeta
Back to all skills

Planning

Checked
desplega-ai·vlatest·productivity

Helps with AI, planning as part of agent workflows workflows.

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 desplega-ai/ai-toolbox --skill planning -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

desplega-ai

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 desplega-ai/ai-toolbox at 9748aabf72.

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

Commit
9748aabf72
Manifest
cc-plugin/base/skills/planning/SKILL.md
Scanned
2 files, 190 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 create structured plans, breaking down complex tasks into smaller, manageable steps. It facilitates goal decomposition and action sequencing, allowing the agent to organize its thoughts and actions for improved efficiency. The planning functionality can be used to generate a series of instructions or a roadmap for achieving a desired outcome.

When to use it

  • Complex Task Management: When an AI needs to perform a multi-step process like booking travel arrangements or writing a detailed report.
  • Goal Decomposition: To break down high-level objectives into smaller, actionable sub-goals.
  • Procedural Generation: To create step-by-step guides for users based on specific requests.
  • Automated Workflows: When you need to automate a sequence of actions within an AI agent's workflow.

Key capabilities

  • Goal decomposition
  • Action sequencing
  • Plan generation
  • Structured planning output

Example prompts

  • "Create a plan for writing a blog post about the benefits of using AI skills."
  • "Outline the steps needed to prepare a presentation on climate change."
  • "Generate a sequence of actions for ordering pizza online, including selecting toppings and payment."

Tips & gotchas

The quality of the generated plan depends heavily on the clarity and specificity of the initial prompt. Provide as much context as possible when requesting a plan from the AI agent.