Results for “llm-prompting”

3 skills

Migrates symbols and reverse-engineering results from an older binary version to a newer one using LLM-based structured diffing of disassembly and pseudocode, enabling rapid offset and function-name mapping when PDBs are missing.

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Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.

Convert human-written CLAUDE.md files into a structured label format that AI models follow more reliably using fewer tokens.