structured-outputs
Structured Outputs ensure that an LLM's response always conforms to a predefined JSON schema. This moves beyond simple prompt engineering to guaranteed syntactic and structural correctness, essential for programmatic integration.
npx skills add majiayu000/claude-skill-registry --skill structured-outputs --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
--- name: structured-outputs description: Techniques for ensuring LLM responses adhere to strict JSON schemas, utilizing Pydantic models, JSON mode, and schema-based refusals. Triggers: structured-output, pydantic, json-schema, json-mode, llm-response-parsing. --- # Structured Outputs ## Overview Structured Outputs ensure that an LLM's response always conforms to a predefined JSON schema. This moves beyond simple prompt engineering to guaranteed syntactic and structural correctness, essential for programmatic integration. ## When to Use - **API Integration**: When LLM output must be parsed by a machine (e.g., generating database records). - **UI Components**: When the LLM generates data to populate a specific frontend interface. - **Data Extraction**: Converting unstructured text into standardized JSON objects. ## Decision Tree 1. Do you need 100% guarantee of schema adherence? - YES: Use Structured Output mode (e.g., OpenAI's `strict: true` or Gemini's `response_mime_type`). - NO: JSON Mode may suffice. 2. Is the structure complex or nested? - YES: Use Pydantic models and `model_rebuild` if recursive. 3. Do you need to handle safety refusals programmatically? - YES: Check for the
- Overview
- When to Use
- Decision Tree
- Workflows
- 1. Defining a Pydantic-based Schema
- 2. Handling Optional and Nullable Fields
- 3. Streaming Structured JSON
- Non-Obvious Insights
- Evidence
- Scripts
- Dependencies
- References
What does the structured-outputs skill do?
Structured Outputs ensure that an LLM's response always conforms to a predefined JSON schema. This moves beyond simple prompt engineering to guaranteed syntactic and structural correctness, essential for programmatic integration.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill structured-outputs --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.