Instructor
技能 活跃Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
To reliably extract and validate structured data from LLM responses, enabling safer and more predictable integration of LLM outputs into applications.
功能
- Extract structured data with Pydantic models
- Automatic validation of LLM outputs
- Retry failed extractions with error feedback
- Parse complex JSON with type safety
- Stream partial results for real-time processing
使用场景
- Extracting user profiles, product details, or financial data from text
- Classifying text into predefined categories with confidence scores
- Parsing complex nested JSON outputs from LLMs
- Building real-time applications that consume LLM-generated structured data
非目标
- Replacing the core LLM provider itself
- Performing complex data transformations beyond validation
- Handling LLM API calls directly without Instructor's structured output features
Trust
- warning:Issues AttentionThere are 17 open issues and 4 closed issues in the last 90 days, indicating a low closure rate and potentially slow maintainer response.
安装
npx skills add davila7/claude-code-templates通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
类似扩展
Instructor
98Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
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