ai-prompt-engineering
Prompt Engineering — Operational Skill
Modern Best Practices (January 2026): versioned prompts, explicit output contracts, regression tests, and safety threat modeling for tool/RAG prompts (OWASP LLM Top 10: https://owasp.org/www-project-top-10-for-large-language-model-applications/).
This skill provides operational guidance for building production-ready prompts across standard tasks, RAG workflows, agent orchestration, structured outputs, hidden reasoning, and multi-step planning.
All content is operational, not theoretical. Focus on patterns, checklists, and copy-paste templates.
Quick Start (60 seconds)
- Pick a pattern from the decision tree (structured output, extractor, RAG, tools/agent, rewrite, classification).
- Start from a template in
assets/and fill inTASK,INPUT,RULES, andOUTPUT FORMAT. - Add guardrails: instruction/data separation, “no invented details”, missing →
null/explicit missing. - Add validation: JSON parse check, schema check, citations check, post-tool checks.
- Add evals: 10–20 cases while iterating, 50–200 before release, plus adversarial injection cases.
Model Notes (2026)
This skill includes Claude Code + Codex CLI optimizations:
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