llm-application-dev-prompt-optimize
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 optimizati
Best use case
llm-application-dev-prompt-optimize is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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 optimizati
Teams using llm-application-dev-prompt-optimize should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/llm-application-dev-prompt-optimize/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How llm-application-dev-prompt-optimize Compares
| Feature / Agent | llm-application-dev-prompt-optimize | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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 optimizati
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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.
Related Skills
llm-application-dev-ai-engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications. Use when: the task directly matches ai engineer responsibilities within plugin llm-application-dev. Do not use when: a more specific framework or task-focused skill is clearly a better match.
create-prompt
Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs. Use when writing system prompts, user prompts, few-shot examples, or optimizing existing prompts for better performance.
create-custom-prompt
Prompt for creating custom prompt files
context-optimizer
Analyzes Copilot Chat debug logs, agent definitions, skills, and instruction files to audit context window utilization. Provides log parsing, turn-cost profiling, redundancy detection, hand-off gap analysis, and optimization recommendations. Use when optimizing agent context efficiency, identifying where to add subagent hand-offs, or reducing token waste across agent systems.
agentv-prompt-optimizer
Iteratively optimize prompt files against AgentV evaluation datasets by analyzing failures and refining instructions.
image-optimizer
Optimize and compress images for web use. Reduces file sizes of JPEG, PNG, GIF images using lossy/lossless compression. Can resize images to maximum dimensions, convert to WebP format, and process entire directories recursively. Use when images are too large for web, need compression, or need format conversion.
article-title-optimizer
This skill analyzes article content in-depth and generates optimized, marketable titles in the format 'Title: Subtitle' (10-12 words maximum). The skill should be used when users request title optimization, title generation, or title improvement for articles, blog posts, or written content. It generates 5 title candidates using proven formulas, evaluates them against success criteria (clickability, SEO, clarity, emotional impact, memorability, shareability), and replaces the article's title with the winning candidate.
prompt-engineer
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)
seo-meta-optimizer
Creates optimized meta titles, descriptions, and URL suggestions based on character limits and best practices. Generates compelling, keyword-rich metadata. Use PROACTIVELY for new content.
internal-linking-optimizer
Use when the user asks to "fix internal links", "improve site architecture", "link structure", "distribute page authority", "internal linking strategy", "orphan pages", "site architecture is messy", or "pages have no links pointing to them". Analyzes and optimizes internal link structure to improve site architecture, distribute page authority, and help search engines understand content relationships. Creates strategic internal linking plans. For a broader on-page audit, see on-page-seo-auditor. For external link analysis, see backlink-analyzer.
python-fastapi-scalable-api-cursorrules-prompt-fil
Apply for python-fastapi-scalable-api-cursorrules-prompt-fil. --- description: Defines conventions specific to FastAPI usage in the backend. globs: backend/src/**/*.py
python-django-best-practices-cursorrules-prompt-fi
Apply for python-django-best-practices-cursorrules-prompt-fi. --- description: Configurations for Django settings file with the list of dependencies and conventions. globs: **/settings.py