# AI use cases for Plugins (cursor/plugins) Repo: [cursor/plugins](https://github.com/cursor/plugins) | Use cases: 4 | Page: https://dedupedai.com/use-cases/cursor-plugins/ A GitHub repository of Cursor plugin specifications and official plugins, where each plugin is a standalone directory with its own manifest. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Scaffold and validate a new Cursor plugin: https://dedupedai.com/use-cases/cursor-plugins/scaffold-new-cursor-plugin/ - Split a large task across parallel cloud agents: https://dedupedai.com/use-cases/cursor-plugins/fan-large-task-across-cloud-agents/ - Review a pull request diff grouped by importance: https://dedupedai.com/use-cases/cursor-plugins/review-pr-diff-by-importance/ - Plan the port of a GitHub App to the Origin API: https://dedupedai.com/use-cases/cursor-plugins/plan-github-app-port-to-origin/ ## How to scaffold and validate a new Cursor plugin with Plugins Repo: [cursor/plugins](https://github.com/cursor/plugins) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Start a new agent plugin from the create-plugin template and check it is valid before sharing. **Who it is for:** A developer who wants to package an internal workflow or tool as a Cursor plugin and has no plugin structure yet. **The problem:** Building a plugin from scratch means guessing the directory layout and manifest format. **The outcome:** A new plugin directory with a manifest that passes the create-plugin validation. ### Steps 1. Open the create-plugin/ directory from the Plugins table in the README. 2. Read the README there to see how the scaffold is meant to be used. 3. Create your plugin as a standalone directory at the repository root, following the same layout as the other Plugins. 4. Make sure the directory contains .cursor-plugin/plugin.json with a name and description. 5. Run the validation the create-plugin plugin provides and fix any reported issues. ### Prompt to paste into your agent ```text In the cursor/plugins repo, use the create-plugin plugin to scaffold a new plugin named as a standalone root directory. Output the file tree and the validation result. Verify that .cursor-plugin/plugin.json exists and that the validation reports no errors. ``` ### Caveat The README does not list the exact scaffold or validation commands, so read the create-plugin/ directory for them before running anything. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/cursor-plugins/scaffold-new-cursor-plugin/ ## How to split a large task across parallel cloud agents with Plugins Repo: [cursor/plugins](https://github.com/cursor/plugins) | Difficulty: Advanced | Time: 60 minutes | Basis: From the README Use the orchestrate plugin to run planners, workers, and verifiers on one big job at once. **Who it is for:** An engineering lead with a large refactor or migration that is too big for one agent session. **The problem:** A single agent working through a large task serially takes too long and loses track of parts of the work. **The outcome:** A fan-out plan where parallel cloud agents complete sub-tasks and report back through structured handoffs. ### Steps 1. Open the orchestrate/ directory and read its plugin description. 2. Break the large task into independent sub-tasks that can run in parallel. 3. Assign a planner to write the split and workers to take each sub-task. 4. Assign a verifier to check each worker's output before it is accepted. 5. Collect the structured handoffs and merge the verified results. ### Prompt to paste into your agent ```text Using the orchestrate plugin from the cursor/plugins repo, split the task into parallel sub-tasks with a planner, workers, and a verifier. Output the plan, the worker assignments, and the verified handoffs. Verify that every sub-task has a verifier result before you report it as done. ``` ### Caveat The README describes orchestration at a high level only, so confirm how cloud agents are started and billed in your own Cursor setup before running large fan-outs. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/cursor-plugins/fan-large-task-across-cloud-agents/ ## How to review a pull request diff grouped by importance with Plugins Repo: [cursor/plugins](https://github.com/cursor/plugins) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Render a PR diff as a review canvas so the most important changes are read first. **Who it is for:** A reviewer facing a large pull request who needs to decide where to spend review time. **The problem:** A long flat diff hides which changes matter most, so reviewers spend time on low-risk lines. **The outcome:** A review canvas with the diff grouped by importance, starting with the highest-impact changes. ### Steps 1. Open the pr-review-canvas/ directory and read its plugin description. 2. Load the pull request diff you want to review into Cursor. 3. Run the pr-review-canvas plugin on that diff. 4. Read the canvas groups from top to bottom and note the high-importance changes first. 5. Record your review comments against the groups you checked. ### Prompt to paste into your agent ```text Using the pr-review-canvas plugin from the cursor/plugins repo, render the diff for pull request as a review canvas grouped by importance. Output the groups in order with a one-line reason for each. Verify that every changed file appears in exactly one group. ``` ### Caveat The README does not say how the diff is loaded into the plugin, so check the pr-review-canvas/ directory for the input method. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/cursor-plugins/review-pr-diff-by-importance/ ## How to plan the port of a GitHub App to the Origin API with Plugins Repo: [cursor/plugins](https://github.com/cursor/plugins) | Difficulty: Advanced | Time: 60 minutes | Basis: From the README Use origin-apps to map an existing GitHub App onto the Origin API before writing code. **Who it is for:** A developer who maintains a GitHub App and wants to move it onto the Cursor Origin API. **The problem:** Porting an app without a plan risks getting credentials, scopes, webhooks, paging, or error handling wrong. **The outcome:** A written port plan that covers the Origin rules for credentials, scopes, webhooks, paging, and errors. ### Steps 1. Open the origin-apps/ directory and find the skill that plans the port of an existing GitHub App. 2. Fetch the live Origin API spec first, as the plugin description instructs. 3. List the current GitHub App's credentials, permissions, webhooks, and error handling. 4. Map each item to the matching Origin rule for credentials, scopes, webhooks, paging, and errors. 5. Write the port plan and flag any gap you cannot map. ### Prompt to paste into your agent ```text Using the origin-apps plugin from the cursor/plugins repo, fetch the live Origin API spec and plan the port of the GitHub App at . Output a port plan that maps credentials, scopes, webhooks, paging, and errors. Verify that the plan cites the live spec and lists any unmapped items. ``` ### Caveat The plugin tells you to fetch the live spec first, so the plan is only as current as the spec you retrieve at the time you run it. Risk, credentials: The port plan touches app credentials and scopes, so keep any tokens or secrets out of the plan document and the agent prompt. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/cursor-plugins/plan-github-app-port-to-origin/