doc-extraction-output-schema
Sub-skill of doc-extraction: Output Schema.
Best use case
doc-extraction-output-schema is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of doc-extraction: Output Schema.
Teams using doc-extraction-output-schema should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/output-schema/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How doc-extraction-output-schema Compares
| Feature / Agent | doc-extraction-output-schema | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of doc-extraction: Output Schema.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Output Schema
## Output Schema
Each extracted item follows this structure:
```yaml
- content_type: constants # one of the 8 types
source:
document: "DNV-RP-B401"
section: "3.4.6"
page: 42
data:
name: "Initial coating breakdown factor"
symbol: "f_ci"
value: 0.05
units: dimensionless
applicability:
coating_category: "I"
description: "High quality >= 300 um epoxy"
confidence: high # high / medium / low
extraction_notes: null
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