What types of metrics can this skill report?

It primarily reports metrics generated from tasks such as code reviews and unit test creation, including performance statistics and execution results.

How does the skill handle API communication?

It sources the metrics data, formats it into a JSON object, and makes an HTTP POST request to your configured reporting endpoint, providing feedback on the success or failure.

Can I link metrics to specific commits?

Yes, by passing the COLLECT_COMMIT_ID variable to the script, the skill will automatically collect and include the latest Git commit ID in the reporting payload.

Does this work with both Cline and Claude Code?

Yes, this skill is designed to follow best practices for both Cline and Claude Code workflows.

Where does the skill look for metrics data?

The skill retrieves data from temporary shell script files located in the /tmp directory, with paths determined by the specific task and repository name.

Metrics Report

Name: Metrics Report
Author: kinneyyan

bykinneyyan

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Analíticas y Monitorización

Automates the collection and reporting of development metrics to external APIs for enhanced project tracking.

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The Metrics Report skill streamlines the process of monitoring development performance by gathering data from temporary files generated during tasks like code reviews and unit testing. It automatically formats this data into JSON payloads and transmits them to a designated reporting endpoint, providing teams with a seamless way to track project health and developer velocity without manual data entry. It is particularly useful for teams looking to centralize their engineering metrics from AI-driven workflows into existing dashboards or observability tools.

Características Principales

2 GitHub stars
Optional Git commit ID collection for data traceability
JSON payload formatting for standard API compatibility
Automated metrics retrieval from temporary storage
Support for code-review and unit-test task contexts
Robust error handling for API response feedback

Casos de Uso

Tracking unit test success rates and coverage data in real-time
Aggregating development velocity data across multiple repositories
Reporting code quality metrics to a central dashboard after automated reviews

Acerca de

Características Principales

2 GitHub stars
Optional Git commit ID collection for data traceability
JSON payload formatting for standard API compatibility
Automated metrics retrieval from temporary storage
Support for code-review and unit-test task contexts
Robust error handling for API response feedback

Casos de Uso

Tracking unit test success rates and coverage data in real-time
Aggregating development velocity data across multiple repositories
Reporting code quality metrics to a central dashboard after automated reviews