Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-based prompt engineering techniques. Applies structural optimization, self-consistency patterns, and anti-pattern detection to transform prompts into highly effective versions.
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This skill inherits all available tools. When active, it can use any tool Claude has access to.
examples/chain-of-thought-example.mdexamples/example-1-basic.mdexamples/few-shot-optimization-example.mdexamples/prompt-engineering-complete-guide.mdgraphviz/prompt-architect-process.dotreferences/anti-patterns.mdreferences/meta-principles.mdreferences/readme.mdreferences/verification-synthesis.mdresources/optimization-config.jsonresources/optimization-engine.jsresources/pattern-detector.shresources/pattern-library.yamlresources/prompt-analyzer.pyresources/prompt-template.yamlresources/prompt-tester.pyresources/readme.mdtests/test-analyzer.pytests/test-optimizer.jstests/test-tester.py