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Flow Next Plan

Checked
gmickel·vlatest·productivity·MIT

Helps with Next.js, planning as part of agent workflows workflows.

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 gmickel/flow-next --skill flow-next-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

gmickel

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 gmickel/gmickel-claude-marketplace at d61e3536f9.

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

Scanned
27 files, 3,130 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 flow-next-plan skill allows an AI agent to generate the next steps in a plan, given a current state and overall goal. It can take complex instructions and break them down into actionable items. The skill is designed for Claude agents but may be adaptable to others.

When to use it

  • Project Management: Generate the next tasks required to complete a project based on its current progress.
  • Travel Planning: Determine the immediate steps needed in a trip, given the traveler's location and destination.
  • Recipe Execution: Suggest the next cooking step when following a recipe.
  • Content Creation: Outline the subsequent sections or points to cover in a piece of writing.

Key capabilities

  • Generates next steps based on current state.
  • Supports complex instructions.
  • Designed for Claude agents (potential adaptability).

Example prompts

  • "Current plan: Research competitors. Current state: Competitor analysis report drafted. Next plan?"
  • "Goal: Book a flight to Paris. Current state: Checked available flights on Expedia. Next plan?"
  • "Recipe: Chocolate Chip Cookies. Current state: Creamed butter and sugar. Next step?"

Tips & gotchas

The skill is optimized for Claude, so results with other agents may vary. Providing clear context about the current state is crucial for accurate next-step suggestions.