⚡AgentSkills
🤖 AI Engineering · Prompt Engineering

Guarantee structured outputs from LLMs

Get machine-parseable JSON reliably using schema-first prompting, constrained decoding, and repair loops.

intermediate~35 minAI EngineersML EngineersLLM App Developers

Steps

  1. 1Provide the JSON Schema in the prompt and ask for schema-valid output only
  2. 2Prefer provider-native structured-output or function-calling modes when available
  3. 3Set temperature low for extraction; reserve high temperature for ideation tasks
  4. 4Validate with a strict parser; reject unknown keys and wrong types
  5. 5On failure, re-ask once including the validation error verbatim
  6. 6Quarantine repeated failures to a dead-letter store for rubric fixes

Common Pitfalls

  • ▲Parsing with regex instead of a real schema validator
  • ▲Accepting markdown-fenced JSON silently breaking downstream parsers

Commands

Install with skills CLI
$ npx skills add aniruddhaadak80/skills --skill prompt-engineering-structured-output
Install globally
$ npx skills add aniruddhaadak80/skills --skill prompt-engineering-structured-output -g

Tags

#json#structured-output#reliability#ai-engineering#prompt-engineering

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