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Planning Workflow

Checked
dicklesworthstone·vlatest·productivity

Dicklesworthstone's planning-workflow intelligently sequences tasks and resources to achieve complex goals efficiently.

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 dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations --skill planning-workflow -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

dicklesworthstone

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 dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations at 4d332440c3.

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

Commit
4d332440c3
Manifest
skills/planning-workflow/SKILL.md
Scanned
4 files, 305 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 execute structured, multi-step workflows by breaking down complex tasks into manageable sub-tasks. It coordinates sequential actions to ensure logical progression from start to finish without losing context.

When to use it

  • Complex Projects: Automating long-term initiatives like market research or content generation that require multiple distinct phases.
  • Sequential Dependencies: Handling tasks where Step B cannot begin until the output of Step A is verified.
  • Error Recovery: Managing workflows that need to pause, check status, and retry specific steps upon failure.
  • Resource Management: Orchestrating agents with limited context windows by splitting large jobs into smaller, focused chunks.

Key capabilities

  • Decomposes high-level goals into actionable sub-tasks.
  • Maintains state and context across multiple execution steps.
  • Executes tasks in a defined order to ensure logical flow.
  • Tracks progress through the entire workflow lifecycle.

Example prompts

  • "Plan a full audit of our customer database, starting with data extraction, then validation, and finally generating a summary report."
  • "Create a workflow to draft three blog posts, check them for SEO compliance, and schedule them for publication next week."
  • "Break down the process of migrating our email server into discrete steps, ensuring no data loss occurs between phases."

Tips & gotchas

Ensure your AI agent has access to tools capable of executing each specific sub-task defined in the plan. If a step fails, verify if the workflow includes logic to handle retries or fallback procedures before proceeding.