cc-plugin-eval

The cc-plugin-eval skill provides a robust 4-stage evaluation framework specifically designed for testing Claude Code plugin components. This skill enables developers and AI practitioners to ensure that skills, agents, and commands are activated correctly through both programmatic detection and LLM judgment. By implementing this framework, users can systematically validate their plugin functionality, ensuring a seamless integration into their existing workflows. One of the key benefits of the cc-plugin-eval skill is its ability to enhance the reliability of AI automation processes. While the exact time savings are not quantified, the structured evaluation reduces the likelihood of errors and the need for extensive debugging, ultimately leading to a more efficient development cycle. This skill is particularly beneficial for developers and product managers who are focused on maintaining high-quality standards in their AI projects, allowing them to allocate more time to innovation rather than troubleshooting. This skill is ideal for developers, product managers, and AI practitioners who are involved in creating or managing AI agents and automation workflows. Its intermediate complexity means that users should have a foundational understanding of Claude Code and AI automation principles, making it suitable for teams looking to enhance their AI-first workflows. By integrating the cc-plugin-eval skill, teams can improve their testing processes, leading to faster deployment and better-performing AI agents. Implementation of the cc-plugin-eval skill is straightforward, with an estimated time of 30 minutes to set up. This makes it an accessible option for teams looking to incorporate a reliable testing framework into their existing processes. As AI automation continues to evolve, having a structured approach to plugin evaluation will be crucial in ensuring that AI agents perform optimally, thereby enhancing overall productivity and effectiveness in AI-driven projects.

[{"step":1,"action":"Prepare your test environment: Install the [PLUGIN_NAME] plugin in Sortd for Gmail and ensure you have test data (emails, tasks, or workflows) ready. Enable debug logging in Sortd's settings to capture plugin triggers and outputs.","tip":"Use Sortd's 'Test Mode' to simulate real-world scenarios without affecting live data. Enable the 'AI Status Tracking' feature in Sortd's plugin settings to generate test data automatically."},{"step":2,"action":"Run the evaluation framework: Copy the prompt template above into your AI assistant (e.g., Claude or ChatGPT) and replace [PLUGIN_NAME], [TEST_CASE], [CRITERIA], and [TEST_DATA] with your specific plugin details. For example, [PLUGIN_NAME] = 'AI Status Tracking', [TEST_CASE] = 'Tag emails with urgency levels', and [CRITERIA] = 'accuracy > 95%, false positives < 2%'.","tip":"For Sortd plugins, use the 'Shared Inbox' feature to create test cases that mimic real team workflows. Include edge cases like empty emails or emails with attachments."},{"step":3,"action":"Execute the 4-stage evaluation: Stage 1 checks plugin detection, Stage 2 validates core functionality, Stage 3 assesses LLM judgment, and Stage 4 generates a report. Review the output for errors, false positives, or missed triggers.","tip":"Use Sortd's 'Activity Log' to cross-reference plugin triggers with the AI's output. If discrepancies are found, adjust the plugin's AI model or workflow rules and rerun the test."},{"step":4,"action":"Implement recommendations: Address any issues identified in the report (e.g., adjust AI thresholds, add manual review steps). Re-run the evaluation to confirm fixes, then deploy the plugin to production with monitoring enabled.","tip":"Set up Sortd's 'AI Monitoring Dashboard' to track plugin performance post-deployment. Use the 'Alerts' feature to notify your team of any failures or anomalies."},{"step":5,"action":"Schedule regular evaluations: Use the cc-plugin-eval framework weekly or after plugin updates to ensure ongoing reliability. Document results in Sortd's 'Workflow Documentation' section for team reference.","tip":"Automate the evaluation process by integrating cc-plugin-eval with Sortd's API. Schedule evaluations during off-peak hours to avoid disrupting team workflows."}]