Develop and optimize AI prompt strategies for code generation across multiple models.
npx skills add https://github.com/jhlee0409/laylder --skill prompt-strategy
Please help me install this Agent Skill. Skill: prompt-strategy Source: https://github.com/jhlee0409/laylder/tree/main/.claude/skills/prompt-strategy Command: npx skills add https://github.com/jhlee0409/laylder --skill prompt-strategy
This Skill helps you design and optimize AI prompt strategies across models (Claude, GPT, Gemini, DeepSeek, Grok) to improve prompt quality and outcomes for production-grade code generation tasks.
Instruct Claude Sonnet 4.5 to generate a production-ready prompt strategy for a given code schema and framework, focusing on high-quality code generation.
High-intent search queries and answers about installing and using this skill.
Optimize prompts across models by developing model-aware strategies that tailor instructions to each provider's strengths. This Skill implements a strategy factory and model-specific optimizations to ensure consistent, high-quality code generation outcomes across Claude, GPT, Gemini, DeepSeek, and Grok.
Structure prompts using a base strategy architecture with a factory pattern to select the appropriate strategy at runtime. This Skill provides modular, per-model strategies with token estimation and validation logic to ensure production-grade code quality.
Yes. This Skill includes token estimation and validation logic to assess prompt effectiveness before execution. These tools help ensure prompts meet quality standards and resource constraints across different models.
Improve code quality by implementing model-specific prompt optimizations tailored to each provider's capabilities. This Skill applies cross-provider compatibility patterns and reasoning prompts to enhance outcomes for production-grade code generation tasks.
Model-specific strategies align prompts to each provider's reasoning patterns and strengths, yielding higher-quality results than one-size-fits-all prompts. This Skill's factory-based approach selects optimized strategies per model to maximize code generation effectiveness.
u-ssRefine user input into optimized prompts for ChatGPT in Markdown or JSON.
sadie100Compares Claude, GPT, and Gemini performance on the same prompt.
DyreanOrchestrate multi-agent workflows with pi-factory to spawn subagents and coordinate results.
Prathmesh2000Analyze and estimate token usage for LLM API calls.
