llm-application-dev-prompt-optimize

llm-application-dev-prompt-optimize is a skill for Claude Code from rmyndharis/antigravity-skills. It costs 44 tokens per session (261 once invoked), scanned A, original, MIT.

A guide to improving instructions given to large language models, the systems behind many AI chat and text-generation tools. It covers techniques for making prompts clearer and adapting them to different models.

In plain words
What is it for?
Use it to rewrite basic prompts, create production prompts, apply model-specific techniques, and improve prompt efficiency.
Why use it?
It helps reduce unclear or inconsistent AI responses by making the requested task, constraints, and expected output more explicit.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to rewrite basic prompts, create production prompts, apply model-specific techniques, and improve prompt efficiency.

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Install with agentmods
npx agentmods add skills/rmyndharis/antigravity-skills/llm-application-dev-prompt-optimize
About the project

Antigravity Skill Vault is a collection of reusable Agent Skills for Google Antigravity, covering software development, operations, security, and business work. It is for people who want Antigravity agents to follow specialized expertise, personas, and structured workflows. The catalogue skills are entries from this collection.

rmyndharis/antigravity-skills · 1,517 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add rmyndharis/antigravity-skills --skill llm-application-dev-prompt-optimize
Clone the repo
git clone --depth 1 https://github.com/rmyndharis/antigravity-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for llm-application-dev-prompt-optimize

README.md
[![agentmods](https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/llm-application-dev-prompt-optimize/github.svg)](https://agentmods.dev/skills/rmyndharis/antigravity-skills/llm-application-dev-prompt-optimize)
Your own site
<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/llm-application-dev-prompt-optimize"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/llm-application-dev-prompt-optimize/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for llm-application-dev-prompt-optimize

Your own site · 80×15
<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/llm-application-dev-prompt-optimize"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/llm-application-dev-prompt-optimize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 261 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00261
Opus 5 $0.00022 $0.00130
Sonnet 5 $0.00009 $0.00052
Haiku 4.5 $0.00004 $0.00026

Measured 6d ago against content hash 6e65f5678039, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

llm-application-dev-prompt-optimize scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/llm-application-dev-prompt-optimize/SKILL.md · 38 lines

What it actually says

Prompt Optimization

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.

Use this skill when

  • Working on prompt optimization tasks or workflows
  • Needing guidance, best practices, or checklists for prompt optimization

Do not use this skill when

  • The task is unrelated to prompt optimization
  • You need a different domain or tool outside this scope

Context

Transform basic instructions into production-ready prompts. Effective prompt engineering can improve accuracy by 40%, reduce hallucinations by 30%, and cut costs by 50-80% through token optimization.

Requirements

$ARGUMENTS

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

Resources

  • resources/implementation-playbook.md for detailed patterns and examples.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 38 lines · 44 tokens per session scan A 6e65f5678039

Subscribe to this mod's changes

llm-application-dev-prompt-optimize is a skill published in the GitHub repository rmyndharis/antigravity-skills (1,517 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 261 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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