GTM Engineer Agent Mode Prompts

Create accurate, customer-specific demos and troubleshoot API issues faster. Agent Mode maps unfamiliar APIs, generates runnable examples, and automates GitHub, Jira, and Slack workflows so you can translate customer problems into solutions quickly and confidently.

GTM Engineer Agent Mode Prompts Illustration.

Featured GTM Engineer Prompts

Create Python server stub for your collection

Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples

Generate a Python SDK for your collection

Generate a production-ready Python SDK with built-in error handling, retries, and example scripts

Generate a Dockerfile + Kubernetes deployment for your Flask server

Builds a Docker image, push changes, update your Kubernetes YAML, and deploy

Refactor monolithic API spec and save hours

Split a monolithic API spec into domain-based APIs and get new OpenAPI files for each in just minutes


Design

Go from idea to clear, consistent API specs. Generate OpenAPI definitions, restructure legacy specs, and keep design artifacts aligned as your API evolves.

Refactor monolithic API spec and save hours

Split a monolithic API spec into domain-based APIs and get new OpenAPI files for each in just minutes

Scaffold and organize APIs in bulk

Convert CSV entries into APIs and organize them into structured collections

Create new API for PayPal payments

Integrate PayPal API operations into your application and generate requests, handle auth, and see example workflows

Sync your collections after backend changes

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Create a PR to deprecate a repo

Deprecate an API, update the API, opens a PR with a comprehensive description

Detailed 4xx and 5xx error responses to each endpoint

Get clear and consistent error responses for your API endpoints

Generate a new collection an updated spec

Agent Mode creates a fresh collection from an updated API specification

Analyze an API spec and generate a Postman Collection

Converts an API spec into a collection with examples, authorization, and test scripts


Develop

Accelerate implementation work. Generate routes, controllers, server stubs, and SDKs, or update backend logic automatically as your APIs change.

Use Dynatrace to investigate problems in an environment

Identify the most severe active problem in an environment, examine affected entities and related logs/traces, and compile a notebook summarizing the root cause analysis.

Create a posts table in Supabase with standard columns

Create a posts table with id, created_at, title, content, and user_id columns (including schema/migration SQL and basic constraints) ready for app use.

Compare API response schemas and open a PR in GitHub

Compare an API response schema to repository data models, update type definitions on a new branch, and open a pull request with the changes.

Create and send a test invoice via PayPal

Create and send test invoice via PayPal and return the public invoice link for verification and end-to-end testing.

Evaluate errors against previous ones and their resolutions

Review what worked in resolving similar past errors and test failures for faster resolutions.

Log issues in GitHub or Jira when the error needs more troubleshooting

Let Agent Mode spin up issues that automatically populate the issue description with context from the resource where the error is occurring, what's not working, and what you've tried already to fix it.

Execute commands inside this Docker container and debug services without leaving Postman

Agent Mode connects to the container behind this request and runs shell commands you specify, helping you inspect state, debug issues, and validate fixes without switching tools.

Generate a serverless application from this collection in minutes

Convert your collection into a serverless application and instantly generate functions, handlers, and deployment configuration for your preferred cloud platform.

Build an event-driven app with Kafka

Agent Mode designs and scaffolds a complete event-driven application using Kafka, wiring topics, producers, and consumers based on your collection or spec.

Create Python server stub for your collection

Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples

Generate a Python SDK for your collection

Generate a production-ready Python SDK with built-in error handling, retries, and example scripts

Generate a Dockerfile + Kubernetes deployment for your Flask server

Builds a Docker image, push changes, update your Kubernetes YAML, and deploy

Auto-fix failing requests across the entire collection

Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201

Fix backend code and get to 200 OK and save hours of debugging

Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success

Scaffold and organize APIs in bulk

Convert CSV entries into APIs and organize them into structured collections

Create new API for PayPal payments

Integrate PayPal API operations into your application and generate requests, handle auth, and see example workflows

Save a request to a new collection

Save the a request into a newly created, well-structured collection

Add a new GET request to your collection

Create a new GET request with query params, path params, and example responses

Add a new POST request to your collection

Add a properly structured POST request with example payloads and parameters

Sync your collections after backend changes

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Create a PR to deprecate a repo

Deprecate an API, update the API, opens a PR with a comprehensive description


Test

Strengthen quality and coverage. Generate comprehensive tests, surface regressions early, and integrate automated checks directly into your workflow.

Compare error rates and latency across endpoints in Amazon CloudWatch

Aggregate metrics for all collection endpoints, compare error rates and latency, and highlight the most problematic endpoints for prioritization.

Analyze Amazon CloudWatch logs for errors

Scan Amazon CloudWatch logs for the endpoint over the past 30 minutes, surface errors and warnings, and provide likely root causes and log excerpts to speed debugging.

Summarize diagnostics for the latest Stainless build

Fetch the latest Stainless build diagnostics and summarize errors and warnings with suggested remediation steps.

Audit MCP servers and pin dependencies with Wallarm

Scan my machine for installed MCP servers, flag risky permissions and unpinned dependencies, and generate a locked mcp.json with pinned versions for safer deployments.

Run root cause analysis on the latest Sentry issue

Locate the most recent unresolved Sentry issue, run an analysis using Seer, and summarize the issue and a recommended fix.

Use Dynatrace to investigate problems in an environment

Identify the most severe active problem in an environment, examine affected entities and related logs/traces, and compile a notebook summarizing the root cause analysis.

Create and send a test invoice via PayPal

Create and send test invoice via PayPal and return the public invoice link for verification and end-to-end testing.

Evaluate errors against previous ones and their resolutions

Review what worked in resolving similar past errors and test failures for faster resolutions.

Log issues in GitHub or Jira when the error needs more troubleshooting

Let Agent Mode spin up issues that automatically populate the issue description with context from the resource where the error is occurring, what's not working, and what you've tried already to fix it.

Execute commands inside this Docker container and debug services without leaving Postman

Agent Mode connects to the container behind this request and runs shell commands you specify, helping you inspect state, debug issues, and validate fixes without switching tools.

Map all endpoints and generate a dependency map

Sends request, map dependencies, test parameter variations, and logs failures across your entire collection

Create Python server stub for your collection

Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples

Evaluate all API error rates over time

Analyze recent failures, find the most problematic API, and reproduces the common errors

Auto-fix failing requests across the entire collection

Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201

Fix all failing tests

Runs a collection, identify every failing test, and apply targeted fixes without the toil

Fix backend code and get to 200 OK and save hours of debugging

Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success

Send requests in a collection

Execute every request and get summarized responses, headers, params, and behavior to accelerate learning

Add a new GET request to your collection

Create a new GET request with query params, path params, and example responses

Add a new POST request to your collection

Add a properly structured POST request with example payloads and parameters

Sync your collections after backend changes

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Demystify testing

Execute your collection's entire test suite and identify failing tests with clear explanations and fixes

Detect common API errors and generate suggested fixes

Identify CORS issues, auth failures, rate limiting, missing data, versioning errors, and more - then fix them instantly


Document

Produce complete, accurate documentation. Create endpoint descriptions, examples, changelogs, and onboarding materials and keep it all in sync automatically.

Create an SEO content calendar with Webflow

Generate a 90-day blog calendar (titles, meta descriptions, suggested publish dates, and draft posts per week) and create CMS items.

Generate a Python SDK for your collection

Generate a production-ready Python SDK with built-in error handling, retries, and example scripts

Refactor monolithic API spec and save hours

Split a monolithic API spec into domain-based APIs and get new OpenAPI files for each in just minutes

Publish your API collection

Publishes your collection to a public workspace with proper tags, descriptions, and visibility settings applied

Write comprehensive documentation for every request in this collection

Get full documentation for every request in the collection with examples and details

Scaffold and organize APIs in bulk

Convert CSV entries into APIs and organize them into structured collections

Help me get started with an API

Get public API docs, find relevant endpoints, and generate starter requests and examples

Onboard and discover APIs faster

Discover the most relevant APIs, collections, docs, and workflows needed to onboard quickly to a new team or organization

Sync your collections after backend changes

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Create a PR to deprecate a repo

Deprecate an API, update the API, opens a PR with a comprehensive description

Detailed 4xx and 5xx error responses to each endpoint

Get clear and consistent error responses for your API endpoints

Generate a new collection an updated spec

Agent Mode creates a fresh collection from an updated API specification

Analyze an API spec and generate a Postman Collection

Converts an API spec into a collection with examples, authorization, and test scripts

Share documentation with a Postman Notebook

Instantly export API documentation into a Notebook format for easy sharing and wider API usage

Auto-generate documentation for endpoints

Agent Mode finds undocumented endpoints or parameters and generates structured docs for each

Generate endpoint documentation

Agent Mode produces clean, consistent documentation for each endpoint including purpose, parameters, and example responses


Debug

Resolve issues with confidence. Diagnose failing requests, patch backend issues, and get clear explanations that turn cryptic errors into actionable fixes.

Compare error rates and latency across endpoints in Amazon CloudWatch

Aggregate metrics for all collection endpoints, compare error rates and latency, and highlight the most problematic endpoints for prioritization.

Analyze Amazon CloudWatch logs for errors

Scan Amazon CloudWatch logs for the endpoint over the past 30 minutes, surface errors and warnings, and provide likely root causes and log excerpts to speed debugging.

Summarize diagnostics for the latest Stainless build

Fetch the latest Stainless build diagnostics and summarize errors and warnings with suggested remediation steps.

Run root cause analysis on the latest Sentry issue

Locate the most recent unresolved Sentry issue, run an analysis using Seer, and summarize the issue and a recommended fix.

Use Dynatrace to investigate problems in an environment

Identify the most severe active problem in an environment, examine affected entities and related logs/traces, and compile a notebook summarizing the root cause analysis.

Evaluate errors against previous ones and their resolutions

Review what worked in resolving similar past errors and test failures for faster resolutions.

Log issues in GitHub or Jira when the error needs more troubleshooting

Let Agent Mode spin up issues that automatically populate the issue description with context from the resource where the error is occurring, what's not working, and what you've tried already to fix it.

Execute commands inside this Docker container and debug services without leaving Postman

Agent Mode connects to the container behind this request and runs shell commands you specify, helping you inspect state, debug issues, and validate fixes without switching tools.

Map all endpoints and generate a dependency map

Sends request, map dependencies, test parameter variations, and logs failures across your entire collection

Evaluate all API error rates over time

Analyze recent failures, find the most problematic API, and reproduces the common errors

Auto-fix failing requests across the entire collection

Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201

Fix all failing tests

Runs a collection, identify every failing test, and apply targeted fixes without the toil

Fix backend code and get to 200 OK and save hours of debugging

Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success

Send requests in a collection

Execute every request and get summarized responses, headers, params, and behavior to accelerate learning

Detailed 4xx and 5xx error responses to each endpoint

Get clear and consistent error responses for your API endpoints

Demystify testing

Execute your collection's entire test suite and identify failing tests with clear explanations and fixes

Detect common API errors and generate suggested fixes

Identify CORS issues, auth failures, rate limiting, missing data, versioning errors, and more - then fix them instantly


Automation

Eliminate repetitive work. Orchestrate tasks across tools like GitHub, Jira, Slack, Postman, and your filesystem to streamline multi-step workflows.

Compare error rates and latency across endpoints in Amazon CloudWatch

Aggregate metrics for all collection endpoints, compare error rates and latency, and highlight the most problematic endpoints for prioritization.

Analyze Amazon CloudWatch logs for errors

Scan Amazon CloudWatch logs for the endpoint over the past 30 minutes, surface errors and warnings, and provide likely root causes and log excerpts to speed debugging.

Summarize diagnostics for the latest Stainless build

Fetch the latest Stainless build diagnostics and summarize errors and warnings with suggested remediation steps.

Audit MCP servers and pin dependencies with Wallarm

Scan my machine for installed MCP servers, flag risky permissions and unpinned dependencies, and generate a locked mcp.json with pinned versions for safer deployments.

Run root cause analysis on the latest Sentry issue

Locate the most recent unresolved Sentry issue, run an analysis using Seer, and summarize the issue and a recommended fix.

Use Dynatrace to investigate problems in an environment

Identify the most severe active problem in an environment, examine affected entities and related logs/traces, and compile a notebook summarizing the root cause analysis.

Create a posts table in Supabase with standard columns

Create a posts table with id, created_at, title, content, and user_id columns (including schema/migration SQL and basic constraints) ready for app use.

Create an SEO content calendar with Webflow

Generate a 90-day blog calendar (titles, meta descriptions, suggested publish dates, and draft posts per week) and create CMS items.

Compare API response schemas and open a PR in GitHub

Compare an API response schema to repository data models, update type definitions on a new branch, and open a pull request with the changes.

Generate a serverless application from this collection in minutes

Convert your collection into a serverless application and instantly generate functions, handlers, and deployment configuration for your preferred cloud platform.

Build an event-driven app with Kafka

Agent Mode designs and scaffolds a complete event-driven application using Kafka, wiring topics, producers, and consumers based on your collection or spec.

Map all endpoints and generate a dependency map

Sends request, map dependencies, test parameter variations, and logs failures across your entire collection

Create Python server stub for your collection

Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples

Generate a Python SDK for your collection

Generate a production-ready Python SDK with built-in error handling, retries, and example scripts

Generate a Dockerfile + Kubernetes deployment for your Flask server

Builds a Docker image, push changes, update your Kubernetes YAML, and deploy

Evaluate all API error rates over time

Analyze recent failures, find the most problematic API, and reproduces the common errors

Publish your API collection

Publishes your collection to a public workspace with proper tags, descriptions, and visibility settings applied

Export an API response to a CSV

Export data from a request into a CSV file with clean column formatting

Auto-fix failing requests across the entire collection

Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201

Fix backend code and get to 200 OK and save hours of debugging

Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success

Streamline PR workflows across GitHub, Jira, and Slack

Generate a Flow that detects merged PRs, updates the matching Jira issue, and sends a Slack summary to the team

Scaffold and organize APIs in bulk

Convert CSV entries into APIs and organize them into structured collections

Execute actions in bulk

Execute actions from a CSV file

Create new API for PayPal payments

Integrate PayPal API operations into your application and generate requests, handle auth, and see example workflows

Help me get started with an API

Get public API docs, find relevant endpoints, and generate starter requests and examples

Onboard and discover APIs faster

Discover the most relevant APIs, collections, docs, and workflows needed to onboard quickly to a new team or organization

Save a request to a new collection

Save the a request into a newly created, well-structured collection

Sync your collections after backend changes

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Create a PR to deprecate a repo

Deprecate an API, update the API, opens a PR with a comprehensive description

Effortless Git commits and PRs

Automatically commit your changes to GitHub create a well-structured pull request

Update base URL values

Agent Mode updates your dev environment with the correct baseURL value

Detect common API errors and generate suggested fixes

Identify CORS issues, auth failures, rate limiting, missing data, versioning errors, and more - then fix them instantly

Share documentation with a Postman Notebook

Instantly export API documentation into a Notebook format for easy sharing and wider API usage


Deploy & Operate

Keep APIs reliable and production-ready. Generate Dockerfiles and Kubernetes configs, manage environments, and set up monitors to ensure ongoing performance.

Compare error rates and latency across endpoints in Amazon CloudWatch

Aggregate metrics for all collection endpoints, compare error rates and latency, and highlight the most problematic endpoints for prioritization.

Analyze Amazon CloudWatch logs for errors

Scan Amazon CloudWatch logs for the endpoint over the past 30 minutes, surface errors and warnings, and provide likely root causes and log excerpts to speed debugging.

Summarize diagnostics for the latest Stainless build

Fetch the latest Stainless build diagnostics and summarize errors and warnings with suggested remediation steps.

Audit MCP servers and pin dependencies with Wallarm

Scan my machine for installed MCP servers, flag risky permissions and unpinned dependencies, and generate a locked mcp.json with pinned versions for safer deployments.

Compare API response schemas and open a PR in GitHub

Compare an API response schema to repository data models, update type definitions on a new branch, and open a pull request with the changes.

Execute commands inside this Docker container and debug services without leaving Postman

Agent Mode connects to the container behind this request and runs shell commands you specify, helping you inspect state, debug issues, and validate fixes without switching tools.

Deploy this request to Docker

Create a Dockerfile and container image for the service behind this request, wiring in environment variables and build steps so you can deploy consistently and quickly.

Generate a serverless application from this collection in minutes

Convert your collection into a serverless application and instantly generate functions, handlers, and deployment configuration for your preferred cloud platform.

Build an event-driven app with Kafka

Agent Mode designs and scaffolds a complete event-driven application using Kafka, wiring topics, producers, and consumers based on your collection or spec.

Generate a Dockerfile + Kubernetes deployment for your Flask server

Builds a Docker image, push changes, update your Kubernetes YAML, and deploy


Onboarding

Go from day one to first PR faster. Explore unfamiliar APIs, map dependencies, generate sample workflows, and help teams understand how to use APIs quickly and confidently.

Create an SEO content calendar with Webflow

Generate a 90-day blog calendar (titles, meta descriptions, suggested publish dates, and draft posts per week) and create CMS items.

Map all endpoints and generate a dependency map

Sends request, map dependencies, test parameter variations, and logs failures across your entire collection

Publish your API collection

Publishes your collection to a public workspace with proper tags, descriptions, and visibility settings applied

Create new API for PayPal payments

Integrate PayPal API operations into your application and generate requests, handle auth, and see example workflows

Help me get started with an API

Get public API docs, find relevant endpoints, and generate starter requests and examples

Send requests in a collection

Execute every request and get summarized responses, headers, params, and behavior to accelerate learning

Onboard and discover APIs faster

Discover the most relevant APIs, collections, docs, and workflows needed to onboard quickly to a new team or organization

Popular Prompts