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Planning Agent

Checked
parcadei·vlatest·agents·MIT

Generates detailed, step-by-step plans to achieve complex goals, optimizing actions and anticipating potential roadblocks.

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 parcadei/continuous-claude-v3 --skill planning-agent -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

parcadei

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 parcadei/continuous-claude-v3 at d07ff4b06b.

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

Commit
d07ff4b06b
Manifest
.claude/skills/plan-agent/SKILL.md
Scanned
2 files, 442 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-agent skill enables an AI agent to break down complex tasks into smaller, manageable steps. It facilitates creating detailed plans with specific actions and reasoning for each step, allowing the agent to execute multi-stage processes more effectively. This improves task completion rates by providing a structured approach to problem-solving.

When to use it

  • Complex Projects: When faced with projects requiring multiple sequential operations (e.g., writing a report, developing a marketing campaign).
  • Research Tasks: To organize and execute research involving data gathering, analysis, and synthesis.
  • Creative Writing: To structure the process of writing long-form content like stories or articles by outlining plot points and character development.
  • Troubleshooting: When debugging complex systems or processes, to systematically identify and address issues.

Key capabilities

  • Task Decomposition: Breaks down large tasks into smaller subtasks.
  • Plan Generation: Creates detailed plans with specific actions for each step.
  • Reasoning Integration: Includes reasoning steps within the plan to explain decisions.
  • Multi-Stage Execution: Supports executing complex processes across multiple stages.

Example prompts

  • "Create a plan to write a blog post about AI safety."
  • "Outline the steps needed to debug this Python script, including potential error messages and solutions."
  • "Develop a detailed plan for researching the impact of climate change on coastal communities."

Tips & gotchas

The effectiveness of this skill depends heavily on providing clear and well-defined initial tasks. Ambiguous or overly broad requests may result in less useful plans.