Structured Output

by nimadorostkar

Structured Output is an AI Engineering skill for Claude Code, published by nimadorostkar in Claude-Skills-collection.

18 stars2 forkson nimadorostkar/Claude-Skills-collectionAdded 2026/07/16+13% in starsRepository updated 2026/07/14

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Install Structured Output

Copy Structured Output into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/nimadorostkar/Claude-Skills-collection/tree/main/skills/ai/structured-output ~/.claude/skills/structured-output

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nimadorostkar/Claude-Skills-collection.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/ai/structured-output/SKILL.md in nimadorostkar/Claude-Skills-collection
Installs to: ~/.claude/skills/structured-output
Collection: One of 50 skills cataloged from this repository
Category: AI Engineering — 3670 skills

What Structured Output does

Use when an LLM must return machine-readable data. It covers schema design, native structured-output modes, validation and repair, and extraction from messy input.

Structured Output is cataloged under AI Engineering on DirSkills. Structured Output comes from a repository tagged ai, claude, claude-skills and skills.

Documentation

README

Excerpt

Structured Output

Purpose

Get reliably parseable, correctly typed data out of a language model. The naive approach — asking for JSON in the prompt and calling json.loads — fails often enough to be a production incident.

When to Use

Extracting fields from unstructured text.
Classification with a fixed set of labels.
Any LLM output consumed by code rather than read by a human.
A pipeline that fails intermittently on parse errors.

Capabilities

Schema design that models follow reliably.
Native structured output: JSON schema mode, tool calling, constrained decoding.
Validation, repair, and retry.
Confidence and abstention: letting the model say it does not know.
Extraction from long, messy, or partially irrelevant documents.

Inputs

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Structured Output

What else does nimadorostkar publish alongside Structured Output?
Structured Output is one of 50 skills that DirSkills catalogs from nimadorostkar/Claude-Skills-collection, the repository it ships in. Its siblings there include API Design, Agent Design and Agent Instructions. Each one is a separate skill with its own page in this directory, installs the same way Structured Output does, and is maintained by nimadorostkar in that same repository. The rest of the collection is listed on the nimadorostkar/Claude-Skills-collection page.
How does Structured Output compare to other AI Engineering skills?
Structured Output ranks #3605 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Structured Output against them. Open each page to compare what they document and how they install.