prompt-engineering-patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
135 skills found
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Create, refine, and optimize high-quality YAML prompts for AI assistants using structure guidelines, template patterns, and quality standards.
Transforms vague or poorly structured prompts into optimized, high-performance instructions using proven prompt engineering principles for better AI model execution.
Intelligent unit and integration test generation powered by Minion framework, featuring business logic validation, boundary testing, and Vitest integration.
Orchestrate Codex CLI for efficient parallel coding, task automation, and session-managed workflows to optimize token usage and development speed.
A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.
Expert prompt engineering for Jimeng Seedance 2.0. Generate high-quality multimodal video prompts using text, images, video references, and @ syntax for camera control, rhythm, and VFX.
Enriches vague prompts by performing codebase research and asking targeted questions to clarify user intent before execution.
Advanced prompt rewriting and optimization service. Analyzes prompts for clarity, specificity, and structure, providing actionable improvements, variations for testing, and prompt engineering best practices.
Search, discover, and refine AI prompts using the prompts.chat library. Access thousands of community-curated prompts for ChatGPT, Claude, and other AI models.
AI-powered creative visual prompt generator for posters, banners, product shots, and social media content.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.