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Llm Application Dev Prompt Optimize

Listed
sickn33·vlatest·ai-ml·MIT

Helps with LLMs, optimization as part of building AI and machine learning applications workflows.

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 sickn33/agentic-awesome-skills --skill llm-application-dev-prompt-optimize -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/llm-application-dev-prompt-optimize/SKILL.md
Scanned
0 files
Copies in repo
3 — 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

This skill enables AI agents to analyze and refine natural language instructions, transforming vague or complex requests into structured, high-performance prompts. It specifically optimizes input for Large Language Models to ensure clearer context, better reasoning, and more accurate outputs.

When to use it

  • Refining ambiguous user queries before they reach a generative model.
  • Structuring complex multi-step tasks into logical chains of thought.
  • Reducing token usage by removing redundant phrasing while preserving intent.
  • Standardizing input formats for batch processing or API integration.

Key capabilities

  • Intent Clarification: Automatically identifies and resolves ambiguity in user requests.
  • Context Injection: Suggests missing background information necessary for accurate responses.
  • Structure Optimization: Reorganizes prompts to align with specific model architectures or reasoning patterns.
  • Constraint Enforcement: Adds necessary guardrails, formatting rules, or output specifications.

Example prompts

  • "Optimize this prompt for a coding assistant: 'Make the login page look better.'"
  • "Rewrite my vague request about market analysis into a structured prompt with specific data sources and reasoning steps."
  • "Convert this casual conversation into a formal API instruction set for an automated trading bot."

Tips & gotchas

Ensure you provide the original, unoptimized prompt as input so the skill can accurately compare and improve it. Avoid using this skill on already highly technical or strictly formatted prompts, as optimization may inadvertently alter critical syntax.