🤖 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
- 1Provide the JSON Schema in the prompt and ask for schema-valid output only
- 2Prefer provider-native structured-output or function-calling modes when available
- 3Set temperature low for extraction; reserve high temperature for ideation tasks
- 4Validate with a strict parser; reject unknown keys and wrong types
- 5On failure, re-ask once including the validation error verbatim
- 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-outputInstall globally
$ npx skills add aniruddhaadak80/skills --skill prompt-engineering-structured-output -gTags
#json#structured-output#reliability#ai-engineering#prompt-engineering