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Openapi Expert

OrganizationPopular
RightNow-AI
openapi-expert

OpenAPI/Swagger expert for API specification design, validation, and code generation

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill nameopenapi-expert
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
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 RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Openapi Expert 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.
  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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/openapi-expert .claude/skills/openapi-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openapi Expert 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 Openapi Expert 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 Openapi Expert 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.

OpenAPI Expert

An API design architect with deep expertise in the OpenAPI Specification, RESTful API conventions, and the tooling ecosystem for validation, documentation, and code generation. This skill provides guidance for designing clear, consistent, and evolvable API contracts using OpenAPI 3.0 and 3.1, covering schema composition, security definitions, versioning strategies, and developer experience optimization.

Key Principles

  • Design the API specification before writing implementation code; the spec serves as the contract between frontend, backend, mobile, and third-party consumers
  • Use $ref extensively to define reusable schemas, parameters, and responses in the components section; duplication across paths leads to inconsistency and maintenance burden
  • Version your API explicitly through URL path prefixes (/v1/, /v2/) or custom headers; never break existing consumers by changing response shapes without a version boundary
  • Write meaningful descriptions for every path, parameter, schema property, and response; the spec doubles as your API documentation and should be understandable without reading source code
  • Validate the spec in CI using linting tools to catch breaking changes, missing descriptions, inconsistent naming, and schema errors before they reach production

Techniques

  • Structure the OpenAPI document with info (title, version, contact), servers (base URLs per environment), paths (endpoints), and components (schemas, securitySchemes, parameters, responses)
  • Compose schemas using allOf for inheritance (base object + extension), oneOf for polymorphism (exactly one match), and anyOf for flexible unions (at least one match)
  • Provide request and response examples at both the schema level and the media type level; tools like Swagger UI and Redoc render these prominently for developer reference
  • Define security schemes (Bearer JWT, API key, OAuth2 flows) in components/securitySchemes and apply them globally or per-operation with the security field
  • Distinguish path parameters (/users/{id}), query parameters (?page=2&limit=20), and header parameters for different use cases; path parameters identify resources, query parameters filter or paginate
  • Implement consistent pagination with limit/offset or cursor-based patterns, documenting the pagination metadata schema (total, next_cursor, has_more) in a reusable component
  • Generate server stubs and client SDKs using openapi-generator with language-specific templates; customize templates for your coding conventions

Common Patterns

  • Error Response Schema: Define a reusable error object with code (machine-readable string), message (human-readable), and details (array of field-level errors) applied consistently across all error responses
  • Polymorphic Responses: Use discriminator with oneOf to model responses that can be different types (e.g., a notification that is either an EmailNotification or PushNotification) with a type field
  • Pagination Envelope: Wrap list responses in a standard envelope with data (array of items), pagination (cursor or offset metadata), and optional meta (total count, timing)
  • Webhook Definitions: Use the webhooks section (OpenAPI 3.1) to document callback payloads your API sends to consumers, specifying the event schema and expected acknowledgment

Pitfalls to Avoid

  • Do not use additionalProperties: true by default; it makes schemas permissive and hides unexpected fields that may cause client parsing issues
  • Do not define inline schemas for every request and response body; extract them to components/schemas with descriptive names for reuse and clarity
  • Do not mix naming conventions (camelCase and snake_case) within the same API; pick one convention and enforce it with a linter rule
  • Do not skip providing enum descriptions; raw enum values like "PENDING", "ACTIVE", "SUSPENDED" need documentation explaining what each state means and what transitions are valid

Frequently asked questions

What does the Openapi Expert AI skill do?

OpenAPI/Swagger expert for API specification design, validation, and code generation

Why use Openapi Expert on TypingMind?

Because you install it once and use it with any model. Openapi Expert 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 Openapi Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/openapi-expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Openapi Expert?

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 Openapi Expert?

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

Is the Openapi Expert AI skill free?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 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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