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Prompt Creation

Checked
fusengine·vlatest·ai-ml·MIT

Fusengine's prompt-creation generates optimized, contextually relevant prompts for LLMs to improve response quality and accuracy.

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 fusengine/agents --skill prompt-creation -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

fusengine

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 fusengine/agents at 980930ea9c.

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

Scanned
5 files, 632 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 allows AI agents to generate effective prompts for other AI models. It crafts prompts tailored to specific tasks, incorporating desired tone and format. The agent can create prompts for various applications including text generation, code creation, and creative writing.

When to use it

  • Generating marketing copy: An agent needs to produce a series of social media posts promoting a new product.
  • Automating content creation: You want an agent to draft blog post outlines or initial drafts based on keywords.
  • Code generation assistance: An agent is tasked with creating prompts for generating code snippets in Python.
  • Creative writing support: An agent needs to generate prompts for a story, poem, or script.

Key capabilities

  • Prompt tailoring (tone and format)
  • Task-specific prompt creation
  • Support for text generation, code creation, and creative writing

Example prompts

  • "Create a prompt for generating a short story about a robot learning to love."
  • "Generate a Python code completion prompt based on the following description: 'Write a function that calculates the factorial of a number.'"
  • “Draft a prompt to generate three different marketing slogans for organic coffee.”

Tips & gotchas

This skill is most effective when provided with clear instructions about the desired output and context. The quality of the generated prompts depends heavily on the clarity of your requests.