Automation Agent Mode Prompts
Eliminate repetitive work. Orchestrate tasks across tools like GitHub, Jira, Slack, Postman, and your filesystem to streamline multi-step workflows.
Platform Engineer
Standardize specs, enforce consistency, and keep your API estate clean and maintainable across teams with automated workflows powered by Agent Mode.
Generate a Notion page documenting an API endpoint
Create a structured page for the endpoint that includes HTTP method, URL, parameters, and a sample response for easy developer reference.
Validate post-deploy health by comparing New Relic metrics
Compare pre- and post-deploy metrics in New Relic for the service behind this request, surface new error groups or regressions, and summarize whether the recent deploy is healthy.
Summarize diagnostics for the latest Stainless build
Fetch the latest Stainless build diagnostics and summarize errors and warnings with suggested remediation steps.
Open a deprecation pull request in GitHub via Copilot
Use GitHub Copilot to open a pull request in the specified repo and assign the PR to the requested reviewer.
Map all endpoints and generate a dependency map
Sends request, map dependencies, test parameter variations, and logs failures across your entire collection
Run a collection’s CI/CD tests in GitHub
Reduce manual setup and context switch and let Agent Mode run your collection tests directly inside a GitHub CI/CD workflow all from within Postman
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
Generate a changelog of documentation updates
Document API changes in your changelog with zero manual effort
Sync your backend code after collection changes
Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations
Set up automated monitoring for your API
Configure a testable monitor with schedule, alerts, and failure conditions pre-applied
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
Generate a Terraform module that provisions an S3 bucket
Build a Terraform module that provisions an S3 bucket and aligns it with the API defined in the spec
Create a POST request that will create a VPC in AWS
Create a POST request to provision a VPC, complete with payload, parameters, and example values
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
Create and commit branch with test coverage
Instantly create a branch with test coverage and send it for review in the same click
Generate a new MCP server
Generate a standards-compliant MCP server based on your entire collection
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
Create new environments for dev, staging, and prod
Create clean, fully structured environments for dev, staging, and production without toil and boilerplate configuration
Run all tests and commit results to Git
Agent Mode runs tests, updates configs, and commits results to your Git repository
Sync backend routes into openapi.yaml
Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests
Product Engineer
Automatically generate documentation, manage versioning, and create polished onboarding experiences that help internal teams and partners succeed.
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.
Generate a Notion page documenting an API endpoint
Create a structured page for the endpoint that includes HTTP method, URL, parameters, and a sample response for easy developer reference.
Validate post-deploy health by comparing New Relic metrics
Compare pre- and post-deploy metrics in New Relic for the service behind this request, surface new error groups or regressions, and summarize whether the recent deploy is healthy.
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.
Build a release readiness report in Confluence
Find unresolved blockers in Jira and generate a release readiness report in Confluence, with a status table and comments on each blocker.
File a Jira bug with full request/response payload
Create a Jira bug in your project containing the failing response details, assign it, and attach the full request/response payload as a comment for quick triage.
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.
Turn meeting notes into Linear issues and update statuses
Parse weekly sync notes to create new Linear issues, update existing statuses, and attach action items and owners so your sprint backlog matches the meeting outcomes.
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.
Open a deprecation pull request in GitHub via Copilot
Use GitHub Copilot to open a pull request in the specified repo and assign the PR to the requested reviewer.
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
Run a collection’s CI/CD tests in GitHub
Reduce manual setup and context switch and let Agent Mode run your collection tests directly inside a GitHub CI/CD workflow all from within Postman
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
Generate a changelog of documentation updates
Document API changes in your changelog with zero manual effort
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
Build a full-stack CRUD app from your collection
Generates a complete CRUD application including backend routes and a functional UI
Sync your backend code after collection changes
Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations
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
Set up automated monitoring for your API
Configure a testable monitor with schedule, alerts, and failure conditions pre-applied
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
Generate a Terraform module that provisions an S3 bucket
Build a Terraform module that provisions an S3 bucket and aligns it with the API defined in the spec
Create a POST request that will create a VPC in AWS
Create a POST request to provision a VPC, complete with payload, parameters, and example values
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
Generate a Flask server for your collection
Create a runnable Flask server with routes and example responses.
Create a PR to deprecate a repo
Deprecate an API, update the API, opens a PR with a comprehensive description
Create a PR from Copilot
Draft and submit a detailed pull request describing the requested functionality
Create and commit branch with test coverage
Instantly create a branch with test coverage and send it for review in the same click
Generate a new MCP server
Generate a standards-compliant MCP server based on your entire collection
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
Create new environments for dev, staging, and prod
Create clean, fully structured environments for dev, staging, and production without toil and boilerplate configuration
Run all tests and commit results to Git
Agent Mode runs tests, updates configs, and commits results to your Git repository
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
Update backend routes in source files
Agent Mode updates backend route definitions across backend code.
Sync backend routes into openapi.yaml
Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests
QA Engineer
Increase coverage, reliability, and confidence across every API. Let Agent Mode generates comprehensive tests, surfaces regressions, and automates analysis so your team focuses on quality.
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.
Validate post-deploy health by comparing New Relic metrics
Compare pre- and post-deploy metrics in New Relic for the service behind this request, surface new error groups or regressions, and summarize whether the recent deploy is healthy.
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.
Build a release readiness report in Confluence
Find unresolved blockers in Jira and generate a release readiness report in Confluence, with a status table and comments on each blocker.
File a Jira bug with full request/response payload
Create a Jira bug in your project containing the failing response details, assign it, and attach the full request/response payload as a comment for quick triage.
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.
Map all endpoints and generate a dependency map
Sends request, map dependencies, test parameter variations, and logs failures across your entire collection
Run a collection’s CI/CD tests in GitHub
Reduce manual setup and context switch and let Agent Mode run your collection tests directly inside a GitHub CI/CD workflow all from within Postman
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
Generate a changelog of documentation updates
Document API changes in your changelog with zero manual effort
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
Sync your backend code after collection changes
Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations
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
Set up automated monitoring for your API
Configure a testable monitor with schedule, alerts, and failure conditions pre-applied
Execute actions in bulk
Execute actions from a CSV file
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 and commit branch with test coverage
Instantly create a branch with test coverage and send it for review in the same click
Run all tests and commit results to Git
Agent Mode runs tests, updates configs, and commits results to your Git repository
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
Sync backend routes into openapi.yaml
Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests
API Product Owner
Operate your APIs like products: consistent, documented, versioned, and adoption-ready. Agent Mode helps you generate clear documentation, identify breaking changes, streamline versioning, and create polished onboarding experiences that accelerate internal and partner adoption.
Generate a Notion page documenting an API endpoint
Create a structured page for the endpoint that includes HTTP method, URL, parameters, and a sample response for easy developer reference.
Build a release readiness report in Confluence
Find unresolved blockers in Jira and generate a release readiness report in Confluence, with a status table and comments on each blocker.
File a Jira bug with full request/response payload
Create a Jira bug in your project containing the failing response details, assign it, and attach the full request/response payload as a comment for quick triage.
Turn meeting notes into Linear issues and update statuses
Parse weekly sync notes to create new Linear issues, update existing statuses, and attach action items and owners so your sprint backlog matches the meeting outcomes.
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.
Open a deprecation pull request in GitHub via Copilot
Use GitHub Copilot to open a pull request in the specified repo and assign the PR to the requested reviewer.
Map all endpoints and generate a dependency map
Sends request, map dependencies, test parameter variations, and logs failures across your entire collection
Generate a Python SDK for your collection
Generate a production-ready Python SDK with built-in error handling, retries, and example scripts
Generate a changelog of documentation updates
Document API changes in your changelog with zero manual effort
Publish your API collection
Publishes your collection to a public workspace with proper tags, descriptions, and visibility settings applied
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
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
Sync backend routes into openapi.yaml
Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests
GTM Engineer
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.
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
Popular Prompts
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.
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
