The compound-engineering-plugin automates engineering workflows by integrating Claude with the Compound Marketplace. It enables operations teams to streamline processes, reduce manual effort, and improve efficiency. The plugin connects to TypeScript-based tools and workflows, providing a strong solution for intermediate-level automation tasks.
git clone https://github.com/EveryInc/compound-engineering-plugin.githttps://github.com/EveryInc/compound-engineering-plugin
[{"step":1,"action":"Install and configure the compound-engineering-plugin in your TypeScript project. Ensure your environment has Node.js (v16+) and TypeScript (v4.5+) installed. Run `npm install compound-engineering-plugin` and initialize the plugin with `npx compound-plugin init`.","tip":"Use the plugin's CLI to validate your project's TypeScript configuration before proceeding. Run `npx compound-plugin check` to detect any misconfigurations."},{"step":2,"action":"Define the engineering task you want to automate. Create a JSON or YAML configuration file that specifies the input data schema, output format, and any transformation rules. For example, if automating API client generation, your config might include endpoints, request/response models, and error handling templates.","tip":"Leverage the plugin's built-in templates for common tasks like interface generation, API client scaffolding, or configuration file updates. Use `npx compound-plugin templates list` to explore available options."},{"step":3,"action":"Execute the automation task using the plugin's CLI. Run `npx compound-plugin run --config [YOUR_CONFIG_FILE] --output [OUTPUT_DIR]`. Monitor the process for errors or warnings, and review the generated artifacts.","tip":"Enable verbose logging with `--verbose` flag to debug any issues. The plugin will output a summary of changes, including files created, modified, or deleted."},{"step":4,"action":"Integrate the plugin into your CI/CD pipeline. Add a step in your GitHub Actions or GitLab CI workflow to run the plugin on code changes. For example, trigger the plugin when a new PR is opened to auto-generate interfaces or update API clients.","tip":"Use the plugin's `--dry-run` flag in CI to preview changes before applying them. This prevents unintended modifications to the codebase."},{"step":5,"action":"Review and refine the generated output. Use the plugin's diff tool to compare changes (`npx compound-plugin diff`) and ensure the automation aligns with your project's standards. Adjust the configuration as needed and rerun the task.","tip":"Collaborate with your team to define coding standards and validation rules for the plugin's output. Store these in a shared config file to ensure consistency across projects."}]
Automate the planning of new features by generating detailed implementation plans.
Track tasks and manage worktrees efficiently during the execution phase.
Conduct multi-agent code reviews to ensure quality before merging changes.
Document learnings from completed projects to inform future work and reduce complexity.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/EveryInc/compound-engineering-pluginCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use the compound-engineering-plugin to automate [SPECIFIC_ENGINEERING_TASK] in [PROJECT_NAME]. The task involves [BRIEF_DESCRIPTION_OF_TASK]. Configure the plugin to handle [INPUT_DATA_TYPE] and produce [OUTPUT_FORMAT]. Ensure the workflow integrates with [TYPE_OF_TOOLS_OR_SYSTEMS] and follows [ANY_SPECIFIC_GUIDELINES_OR_STANDARDS].
For the project 'Acme Robotics - Autonomous Navigation System', I configured the compound-engineering-plugin to automate the generation of TypeScript interfaces for sensor data processing. The plugin ingested a JSON schema from the project's GitHub repository, which defined the structure for IMU, LiDAR, and GPS sensor inputs. Using the plugin's TypeScript generator, it produced a fully typed interface file (`sensorTypes.ts`) with 12 distinct interfaces, including `IMUData`, `LiDARPointCloud`, and `GPSPosition`. The output included JSDoc comments and strict null checks, reducing manual boilerplate by 85%. The generated file was automatically saved to the `src/types` directory and linted using ESLint with the project's Airbnb config. A summary report was generated in the project's Slack channel, notifying the team that the interfaces were ready for review and could be merged into the `dev` branch.
Wealth management tailored for tech employees
AI assistant built for thoughtful, nuanced conversation
Cloud ETL platform for non-technical data integration
Get more done every day with Microsoft Teams – powered by AI
Customer feedback management made simple
Design, document, and generate code for APIs with interactive tools for developers.
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan