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Prompt Template Builder

Checked
patricio0312rev·vlatest·ai-ml·MIT

This skill automatically generates optimized prompt templates for various AI models, streamlining your workflows and improving response quality.

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 patricio0312rev/skills --skill prompt-template-builder -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

patricio0312rev

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 patricio0312rev/skills at 79ea6af485.

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

Commit
79ea6af485
Manifest
ai-engineering/prompt-template-builder/SKILL.md
Scanned
1 file, 368 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 provides a dedicated interface for constructing and managing prompt templates, allowing users to define structured inputs for AI agents. It streamlines the creation of reusable instruction sets to ensure consistent and reliable agent behavior across different tasks.

When to use it

  • You need to standardize how an AI agent receives instructions for repetitive workflows.
  • You want to separate complex logic from the core prompt text by using variable placeholders.
  • You are building a multi-agent system where specific agents require distinct, pre-defined communication patterns.
  • You aim to reduce token usage and improve response quality by enforcing strict template structures.

Key capabilities

  • Interface for defining structured prompt templates with dynamic variables.
  • Mechanism to manage reusable instruction sets for AI agents.
  • Support for creating consistent input formats across various agent interactions.

Example prompts

  • "Create a new prompt template for a customer support agent that includes placeholders for user ID and issue type."
  • "Update the existing email drafting template to include a mandatory tone parameter and a subject line variable."
  • "List all available variables in the current coding assistant template and explain their usage."

Tips & gotchas

Ensure your variable names are clearly defined within the template logic to prevent ambiguity during runtime. Test templates with diverse input data before deploying them in production environments to verify that placeholders resolve correctly.