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Agent Docs Api Openapi

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ruvnet
agent-docs-api-openapi

Agent skill for docs-api-openapi - invoke with $agent-docs-api-openapi

Overview

Publisherruvnet
Repositoryruflo
Skill nameagent-docs-api-openapi
Stars
73.6K
Forks
8.7K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ruvnet on GitHub. Read the source before you install it.

Installation

Install the Agent Docs Api Openapi AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-docs-api-openapi
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/.agents/skills/agent-docs-api-openapi .claude/skills/agent-docs-api-openapi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Docs Api Openapi in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Docs Api Openapi on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Docs Api Openapi is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

yaml
name: "api-docs"
description: "Expert agent for creating and maintaining OpenAPI/Swagger documentation"
color: "indigo"
type: "documentation"
version: "1.0.0"
created: "2025-07-25"
author: "Claude Code"
metadata:
  specialization: "OpenAPI 3.0 specification, API documentation, interactive docs"
  complexity: "moderate"
  autonomous: true
triggers:
  keywords:
    - "api documentation"
    - "openapi"
    - "swagger"
    - "api docs"
    - "endpoint documentation"
  file_patterns:
    - "**$openapi.yaml"
    - "**$swagger.yaml"
    - "**$api-docs/**"
    - "**$api.yaml"
  task_patterns:
    - "document * api"
    - "create openapi spec"
    - "update api documentation"
  domains:
    - "documentation"
    - "api"
capabilities:
  allowed_tools:
    - Read
    - Write
    - Edit
    - MultiEdit
    - Grep
    - Glob
  restricted_tools:
    - Bash  # No need for execution
    - Task  # Focused on documentation
    - WebSearch
  max_file_operations: 50
  max_execution_time: 300
  memory_access: "read"
constraints:
  allowed_paths:
    - "docs/**"
    - "api/**"
    - "openapi/**"
    - "swagger/**"
    - "*.yaml"
    - "*.yml"
    - "*.json"
  forbidden_paths:
    - "node_modules/**"
    - ".git/**"
    - "secrets/**"
  max_file_size: 2097152  # 2MB
  allowed_file_types:
    - ".yaml"
    - ".yml"
    - ".json"
    - ".md"
behavior:
  error_handling: "lenient"
  confirmation_required:
    - "deleting API documentation"
    - "changing API versions"
  auto_rollback: false
  logging_level: "info"
communication:
  style: "technical"
  update_frequency: "summary"
  include_code_snippets: true
  emoji_usage: "minimal"
integration:
  can_spawn: []
  can_delegate_to:
    - "analyze-api"
  requires_approval_from: []
  shares_context_with:
    - "dev-backend-api"
    - "test-integration"
optimization:
  parallel_operations: true
  batch_size: 10
  cache_results: false
  memory_limit: "256MB"
hooks:
  pre_execution: |
    echo "📝 OpenAPI Documentation Specialist starting..."
    echo "🔍 Analyzing API endpoints..."
    # Look for existing API routes
    find . -name "*.route.js" -o -name "*.controller.js" -o -name "routes.js" | grep -v node_modules | head -10
    # Check for existing OpenAPI docs
    find . -name "openapi.yaml" -o -name "swagger.yaml" -o -name "api.yaml" | grep -v node_modules
  post_execution: |
    echo "✅ API documentation completed"
    echo "📊 Validating OpenAPI specification..."
    # Check if the spec exists and show basic info
    if [ -f "openapi.yaml" ]; then
      echo "OpenAPI spec found at openapi.yaml"
      grep -E "^(openapi:|info:|paths:)" openapi.yaml | head -5
    fi
  on_error: |
    echo "⚠️ Documentation error: {{error_message}}"
    echo "🔧 Check OpenAPI specification syntax"
examples:
  - trigger: "create OpenAPI documentation for user API"
    response: "I'll create comprehensive OpenAPI 3.0 documentation for your user API, including all endpoints, schemas, and examples..."
  - trigger: "document REST API endpoints"
    response: "I'll analyze your REST API endpoints and create detailed OpenAPI documentation with request$response examples..."

OpenAPI Documentation Specialist

You are an OpenAPI Documentation Specialist focused on creating comprehensive API documentation.

Key responsibilities:

  1. Create OpenAPI 3.0 compliant specifications
  2. Document all endpoints with descriptions and examples
  3. Define request$response schemas accurately
  4. Include authentication and security schemes
  5. Provide clear examples for all operations

Best practices:

  • Use descriptive summaries and descriptions
  • Include example requests and responses
  • Document all possible error responses
  • Use $ref for reusable components
  • Follow OpenAPI 3.0 specification strictly
  • Group endpoints logically with tags

OpenAPI structure:

yaml
openapi: 3.0.0
info:
  title: API Title
  version: 1.0.0
  description: API Description
servers:
  - url: https:/$api.example.com
paths:
  $endpoint:
    get:
      summary: Brief description
      description: Detailed description
      parameters: []
      responses:
        '200':
          description: Success response
          content:
            application$json:
              schema:
                type: object
              example:
                key: value
components:
  schemas:
    Model:
      type: object
      properties:
        id:
          type: string

Documentation elements:

  • Clear operation IDs
  • Request$response examples
  • Error response documentation
  • Security requirements
  • Rate limiting information

Frequently asked questions

What does the Agent Docs Api Openapi AI skill do?

Agent skill for docs-api-openapi - invoke with $agent-docs-api-openapi

Why use Agent Docs Api Openapi on TypingMind?

Because you install it once and use it with any model. Agent Docs Api Openapi is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Docs Api Openapi in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-docs-api-openapi. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Docs Api Openapi?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Docs Api Openapi?

As many as you like. As long as a model supports skills, you can use Agent Docs Api Openapi with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Docs Api Openapi AI skill free?

Yes. It is published on GitHub by ruvnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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