docs-enrich-section — docs-enrich-section JSON schema support docs-enrich-section, zio-blocks, community, docs-enrich-section JSON schema support, ide skills, docs-enrich-section installation, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Ideal for Technical Writing Agents needing to enhance API documentation with motivational content and practical use-cases. docs-enrich-section is a technical skill that enriches documentation sections with details on what an API returns, why it exists, and when to use it.

Features

Answers what an API returns, why it exists, and when to use it
Supports multiple data formats including Avro, BSON, CSV, JSON, and XML
Provides realistic use cases for API implementation
Enhances documentation with Scala and ZIO integration
Includes signals for identifying thin documentation sections

# Core Topics

zio zio
[99]
[136]
Updated: 3/6/2026

Agent Capability Analysis

The docs-enrich-section skill by zio is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for docs-enrich-section JSON schema support, docs-enrich-section installation.

Ideal Agent Persona

Ideal for Technical Writing Agents needing to enhance API documentation with motivational content and practical use-cases.

Core Value

Empowers agents to transform thin documentation sections into comprehensive guides, including motivation, use-cases, and realistic examples, utilizing API signatures and trivial examples to provide context.

Capabilities Granted for docs-enrich-section

Enriching API documentation with motivational content
Generating realistic use-cases for API endpoints
Transforming thin documentation sections into comprehensive guides

! Prerequisites & Limits

  • Requires access to API documentation
  • Limited to API documentation enrichment
Labs Demo

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Boot Container Sandbox

docs-enrich-section

Install docs-enrich-section, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Enrich a Documentation Section with Motivation and Use-Cases

Overview

A thin section answers what but not why. Readers landing on such a section cannot judge when to use the API or how it fits into the larger picture. This skill turns a thin section into one that answers: what does this return, why does it exist, when is it the right choice, and what does a realistic use look like.

Signals That a Section Needs Enriching

  • Shows only a signature + a trivial example (toy type, no realistic scenario)
  • No mention of alternatives or when not to use this API
  • A reader could not decide between this and the nearest related operation from the section alone
  • Opening sentence restates the method name without adding context

Source Research (Do This First)

Before writing a word of prose, read the implementation:

  1. Read the source — understand what the method actually does, not just its signature
  2. Find the contrast — locate the nearest alternative (e.g. rebind vs toSchema) and understand the exact difference in return type, requirements, and guarantees
  3. Find real usage — search the docs and example files for existing uses of this API to anchor your realistic example
  4. Identify the gap — ask: "In what situation would a reader need this but not the alternative?" That gap is the motivation.

The Five-Part Expansion Pattern

Replace the thin section with these five parts, in order:

1. Opening sentence

State what the method returns and the one-line rule for when to use it. Lead with the return type and the key constraint that distinguishes it from alternatives.

DynamicSchema#toSchema returns a Schema[DynamicValue] — it stays fully in the dynamic world and requires no bindings. Use it when you have received a DynamicSchema over the wire and need a codec-compatible schema that enforces structural conformance without binding any Scala types.

2. Motivation paragraph

Explain the gap the method fills. Name the scenario where the alternative fails or is impractical. Name the concrete contexts (middleware, gateways, converters, validators) where this method is the right tool.

3. Contrast sentence or table

State explicitly: "Use X when … Use Y instead when …". One sentence is enough if the distinction is clear; a two-row table if the dimensions are multiple.

SituationRight choice
No Scala types available; need structural validation onlytoSchema
Have a BindingResolver; need a fully operational Schema[A]rebind[A]

4. Signature block

Keep the existing signature block unchanged. Precede it with a bridging sentence ending in :.

5. Realistic example

Replace any toy example (single-field type, no context) with a scenario that could exist in a real application. The scenario should exercise the method's distinguishing behavior — the part that makes it different from the alternative.

Checklist for the example:

  • Models a plausible real scenario (gateway, registry, pipeline, validator)
  • Uses mdoc:compile-only
  • Imports everything it needs
  • No hardcoded output comments (// None, // "hello", etc.)
  • Preceded by a prose sentence ending in :

Common Mistakes

MistakeFix
Motivation paragraph is abstract ("useful in many cases")Name one concrete scenario. Abstract motivation helps nobody.
Contrast buried at the endPut it before the signature block, after motivation
Example uses the same toy type as beforeCreate a new type that reflects the motivated use-case
Prose sentence before code does not end with :Every sentence immediately before a code fence must end with :
Added output comments to show what expressions returnDelete them — mdoc evaluates and renders output automatically

Verification

After enriching the section, run the mdoc compilation check to ensure all code examples are syntactically correct and type-check:

bash
1sbt docs/mdoc

Success criterion: The output contains zero [error] lines. Warnings are acceptable.

If mdoc reports errors: Fix them immediately before marking the enrichment as complete. Do not commit or claim the work is done until all errors are resolved.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is docs-enrich-section?

Ideal for Technical Writing Agents needing to enhance API documentation with motivational content and practical use-cases. docs-enrich-section is a technical skill that enriches documentation sections with details on what an API returns, why it exists, and when to use it.

How do I install docs-enrich-section?

Run the command: npx killer-skills add zio/zio-blocks/docs-enrich-section. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for docs-enrich-section?

Key use cases include: Enriching API documentation with motivational content, Generating realistic use-cases for API endpoints, Transforming thin documentation sections into comprehensive guides.

Which IDEs are compatible with docs-enrich-section?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for docs-enrich-section?

Requires access to API documentation. Limited to API documentation enrichment.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add zio/zio-blocks/docs-enrich-section. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use docs-enrich-section immediately in the current project.

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