swagger-ui-deployer
Deploy interactive API documentation using Swagger UI with custom branding
Best use case
swagger-ui-deployer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Deploy interactive API documentation using Swagger UI with custom branding
Teams using swagger-ui-deployer 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/swagger-ui-deployer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How swagger-ui-deployer Compares
| Feature / Agent | swagger-ui-deployer | 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?
Deploy interactive API documentation using Swagger UI with custom branding
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
# Swagger UI Deployer Skill
## Overview
Deploys interactive API documentation using Swagger UI with configuration options, custom branding, and static HTML generation.
## Capabilities
- Deploy interactive API documentation
- Configure Swagger UI options
- Generate static HTML documentation
- Custom branding and theming support
- Multiple spec file support
- Authentication configuration
- Deep linking support
## Target Processes
- api-design-specification
## Input Schema
```json
{
"type": "object",
"required": ["specPath"],
"properties": {
"specPath": {
"type": "string",
"description": "Path to OpenAPI specification"
},
"outputDir": {
"type": "string",
"description": "Output directory for static files"
},
"config": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "Documentation title"
},
"deepLinking": {
"type": "boolean",
"default": true
},
"displayOperationId": {
"type": "boolean",
"default": false
},
"defaultModelsExpandDepth": {
"type": "number",
"default": 1
}
}
},
"branding": {
"type": "object",
"properties": {
"logo": { "type": "string" },
"primaryColor": { "type": "string" },
"favicon": { "type": "string" }
}
}
}
}
```
## Output Schema
```json
{
"type": "object",
"properties": {
"outputDir": {
"type": "string"
},
"indexPath": {
"type": "string"
},
"files": {
"type": "array",
"items": { "type": "string" }
}
}
}
```
## Usage Example
```javascript
{
kind: 'skill',
skill: {
name: 'swagger-ui-deployer',
context: {
specPath: 'api/openapi.yaml',
outputDir: 'docs/api',
config: {
title: 'My API Documentation',
deepLinking: true
},
branding: {
primaryColor: '#3b82f6'
}
}
}
}
```Related Skills
openapi-swagger
Expert skill for OpenAPI/Swagger specification analysis, validation, and documentation generation. Parse and validate specs, detect breaking changes, generate code samples, and lint for best practices.
seldon-model-deployer
Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
retrospect
Summarize or retrospect on a completed Babysitter run.
resume
Resume an existing Babysitter run from Codex.
project-install
Install the Babysitter Codex workspace integration into the current project.
plan
Plan a Babysitter workflow without executing the run.
observe
Observe, inspect, or monitor a Babysitter run.