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Generate Tasks

Checked
ar4mirez·vlatest·productivity·MIT

Creates prioritized task lists from project goals, including deadlines and estimated effort, based on user input.

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 ar4mirez/samuel --skill generate-tasks -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

ar4mirez

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 ar4mirez/samuel at 571d3d1834.

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

Commit
571d3d1834
Manifest
.claude/skills/generate-tasks/SKILL.md
Scanned
4 files, 2,038 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 generate-tasks skill allows an AI agent to break down larger goals into smaller, actionable tasks. It can create lists of steps needed to complete a project, assign priorities to those tasks, and even estimate the time required for each. This helps in planning and executing complex workflows more effectively.

When to use it

  • Project Planning: Generate a list of tasks for launching a new website or organizing an event.
  • Content Creation: Break down writing a blog post into steps like outlining, drafting, editing, and publishing.
  • Personal Productivity: Create a task breakdown for learning a new skill or completing a home improvement project.
  • Workflow Automation: Define the tasks needed to automate a repetitive process, such as onboarding a new employee.

Key capabilities

  • Task generation from high-level goals
  • Prioritization of generated tasks
  • Time estimation for individual tasks

Example prompts

  • "Generate a task list for planning a family vacation."
  • "Break down the process of writing a marketing report into actionable steps, and estimate how long each will take."
  • "Create a prioritized list of tasks to learn Python programming."

Tips & gotchas

The quality of the generated tasks depends heavily on the clarity and detail provided in the initial prompt. Be as specific as possible when describing the overall goal for best results.