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Executing Plans

Checked
davila7·vlatest·frontend·MIT

This skill automates complex workflows by sequentially triggering actions based on a defined plan, boosting efficiency and streamlining processes.

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 davila7/claude-code-templates --skill executing-plans -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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Scanned
1 file, 77 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

executing-plans

What it does

This skill enables AI agents to systematically break down complex objectives into actionable steps and execute them sequentially. It transforms high-level goals into structured workflows, ensuring tasks are completed in a logical order without manual intervention.

When to use it

  • You need an agent to handle multi-stage projects like building a full-stack application from scratch.
  • Complex data processing pipelines require strict sequencing of extraction, transformation, and loading steps.
  • Automated testing suites must run specific test cases in a defined dependency order.
  • Deployment workflows involve multiple stages such as code commit, build verification, and environment rollout.

Key capabilities

  • Decomposes abstract goals into discrete, executable tasks.
  • Manages task dependencies to ensure correct execution order.
  • Tracks progress through each step of the planned workflow.
  • Adapts execution flow based on real-time feedback from completed steps.

Example prompts

  • "Create a plan to refactor the authentication module and execute it step-by-step."
  • "Break down the requirement to integrate Stripe payments into a detailed action list and run it."
  • "Plan and execute a sequence of unit tests for the new user dashboard feature."

Tips & gotchas

Ensure your initial prompt clearly defines the end goal so the agent can generate an accurate breakdown. Complex plans may require iterative refinement if early steps fail or reveal missing dependencies.