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Plan Feature

Checked
shoebtamboli·vlatest·productivity·MIT

Generates detailed feature lists and prioritization plans based on user goals and project scope.

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 shoebtamboli/rails_claude_skills --skill plan-feature -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

shoebtamboli

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 shoebtamboli/rails_claude_skills at 5b4f14b271.

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

Commit
5b4f14b271
Manifest
lib/generators/claude/skills_library/plan-feature/SKILL.md
Scanned
1 file, 246 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 plan-feature skill allows an AI agent to generate a detailed feature plan based on a high-level description. It can break down complex features into smaller, manageable tasks and estimate effort for each. This helps in organizing development work and ensuring all aspects of a feature are considered.

When to use it

  • New Feature Development: Use when starting the design and implementation of a new feature for an application or product.
  • Refactoring Existing Features: Break down existing features into smaller components for easier refactoring or improvement.
  • Project Scoping: Define the scope of a project by generating a detailed plan with estimated effort for each task.
  • Technical Debt Reduction: Plan out how to tackle and resolve technical debt in a structured way.

Key capabilities

  • Feature breakdown into tasks
  • Effort estimation per task
  • Detailed feature planning

Example prompts

  • "Create a plan for implementing user authentication with two-factor support."
  • "Generate a feature plan to refactor the payment processing module."
  • “Plan out how we can address the performance issues in our search functionality.”

Tips & gotchas

The quality of the generated plan depends heavily on the clarity and detail provided in the initial prompt. Be as specific as possible when describing the desired feature or area for improvement.