Postman Openapi Converter logo

Postman Openapi Converter

Organization
LambdaTest
postman-openapi-converter

Convert OpenAPI 3.x or Swagger 2.0 specs (YAML or JSON) into complete, import-ready Postman Collection v2.1 JSON files. Use this skill whenever the user provides or references an OpenAPI spec, Swagger file, openapi.yaml, swagger.json, or uses phrases like "convert my OpenAPI spec", "import swagger to Postman", "turn this spec into a collection", or "generate Postman requests from my API spec". Also triggers when the user pastes YAML or JSON that begins with `openapi:`, `swagger:`, or contains `paths:` with HTTP method keys. Always prefer this skill over the general collection generator when the input is a structured spec file.

Overview

PublisherLambdaTest
Repositoryagent-skills
Skill namepostman-openapi-converter
Stars
377
Forks
74
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 LambdaTest on GitHub. Read the source before you install it.

Installation

Install the Postman Openapi Converter 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/LambdaTest/agent-skills/tree/main/api-skill/postman/postman-openapi-converter
  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/LambdaTest/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/api-skill/postman/postman-openapi-converter .claude/skills/postman-openapi-converter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Postman Openapi Converter 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 Postman Openapi Converter 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 Postman Openapi Converter 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 → Postman Collection Converter

Converts OpenAPI 3.x or Swagger 2.0 specs into a valid Postman Collection v2.1.


Step 1 — Detect & Validate Input

Identify the spec version from the input:

  • openapi: 3.x.x → OpenAPI 3
  • swagger: "2.0" → Swagger 2

If the input is truncated or partial, convert what's available and note missing sections.


Step 2 — Extraction Mapping

OpenAPI 3 → Postman

OpenAPI fieldPostman mapping
info.titleCollection name
info.descriptionCollection description
servers[0].url{{base_url}} variable
paths.<path>.<method>One request item per operation
operationId or summaryRequest name
parameters (path/query/header)URL path variables, query params, headers
requestBody.content.application/json.schemaBody (raw JSON), generate example from schema
responsesSaved example responses
components.securitySchemesCollection-level auth
tagsFolder grouping

Swagger 2 → Postman

Swagger fieldPostman mapping
host + basePath{{base_url}}
paths.<path>.<method>Request item
parametersQuery/path/header/body params
consumes / producesContent-Type / Accept headers
securityDefinitionsCollection auth
tagsFolders

Step 3 — Generate Example Bodies

For each request with a requestBody or body parameter, generate a realistic example JSON body from the schema:

  • Use property names as keys
  • Infer sensible example values from type + format (e.g., "email" format → "user@example.com", "date-time" → "2024-01-15T10:30:00Z")
  • For $ref schemas, resolve them inline

Step 4 — Auth Handling

Map security schemes to Postman auth:

OpenAPI schemePostman auth type
http: bearerbearer with {{token}}
http: basicbasic with {{username}} / {{password}}
apiKey: headerapikey header with {{api_key}}
apiKey: queryapikey query param
oauth2oauth2 (note: requires manual token setup)

Apply auth at collection level if all endpoints share the same scheme. Override at request level for exceptions.


Step 5 — Build Collection JSON

Use the standard v2.1 structure (same schema as postman-collection-generator skill).

Key differences for spec-converted collections:

  • Always group by tags into folders
  • Include description field on each request from operationId + summary + description
  • Add saved example responses where responses are defined in the spec
json
"response": [
  {
    "name": "200 OK",
    "status": "OK",
    "code": 200,
    "header": [{ "key": "Content-Type", "value": "application/json" }],
    "body": "{ \"id\": 1, \"name\": \"example\" }",
    "originalRequest": { <copy of the request> }
  }
]

Step 6 — Environment File

Extract all variables into a companion environment:

  • base_url from servers[0].url or host + basePath
  • token, api_key, username, password as empty placeholders
  • Any server variables from servers[0].variables

Step 7 — Output

  1. collection.json — Full Postman Collection v2.1
  2. environment.json — Matching environment file
  3. Conversion summary: number of endpoints converted, folders created, auth type detected, any fields skipped or approximated
  4. Import instructions

Edge Cases

  • $ref chains: Resolve all $ref pointers inline before mapping
  • allOf / oneOf / anyOf: Use the first/primary schema for body generation; note alternatives in description
  • Path parameters: Convert {param} to :param in URL path AND add to variable array in url object
  • Multiple content types: Prefer application/json; note others in request description
  • No operationId: Generate name from METHOD /path (e.g., GET /users/{id} → Get User by ID)

Quality Checklist

  • Every paths entry produces at least one request
  • Path params use :param format in Postman URL
  • All $ref resolved — no raw $ref strings in output
  • Auth tokens are {{variables}}, never hardcoded
  • JSON output is valid and importable

After Completing the API Design

Once the API design output is delivered, ask the user:

"Would you like me to generate API documentation for this design? (yes/no)"

If the user says yes:

  • Check if the API Documentation skill is available in the installed skills list
  • If the skill is available:
    • Read and follow the instructions in the API Documentation skill
    • Use the API design output above as the input
  • If the skill is NOT available:
    • Inform the user: "It looks like the API Documentation skill isn't installed. You can install it and re-run.

If the user says no:

  • End the task here

Frequently asked questions

What does the Postman Openapi Converter AI skill do?

Convert OpenAPI 3.x or Swagger 2.0 specs (YAML or JSON) into complete, import-ready Postman Collection v2.1 JSON files. Use this skill whenever the user provides or references an OpenAPI spec, Swagger file, openapi.yaml, swagger.json, or uses phrases like "convert my OpenAPI spec", "import swagger to Postman", "turn this spec into a collection", or "generate Postman requests from my API spec". Also triggers when the user pastes YAML or JSON that begins with `openapi:`, `swagger:`, or contains `paths:` with HTTP method keys. Always prefer this skill over the general collection generator when...

Why use Postman Openapi Converter on TypingMind?

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

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

Which AI models can use Postman Openapi Converter?

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 Postman Openapi Converter?

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

Is the Postman Openapi Converter AI skill free?

Yes. It is published on GitHub by LambdaTest 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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