Autonomous system that reads product performance reports, identifies top priorities, and implements fixes without human intervention. Benefits operations teams by reducing manual work and accelerating issue resolution. Connects to product analytics tools and workflow automation systems.
git clone https://github.com/snarktank/compound-product.githttps://github.com/snarktank/compound-product
Automatically analyze daily performance reports to identify critical issues.
Generate and implement fixes for the most impactful problems without manual input.
Create pull requests for review based on prioritized tasks derived from report analysis.
Run quality checks on implemented tasks to ensure code integrity before merging.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/snarktank/compound-productCopy 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.
Analyze the latest performance report for [PRODUCT_NAME] and identify the top 3 issues affecting user experience. Prioritize them based on impact and feasibility, then outline a plan to implement fixes autonomously. Use the following data: [REPORT_DATA].
# Analysis of [PRODUCT_NAME] Performance Report ## Top 3 Issues 1. **Login Failure Rate**: 15% of users experience login failures due to session timeout issues. 2. **App Crash on Launch**: 10% of users report crashes during initial app launch. 3. **Slow Load Times**: 20% of users experience delays longer than 5 seconds on page load. ## Prioritized Fix Plan 1. **Immediate Fix (1-2 days)**: Implement a patch to extend session timeout and reduce login failures. 2. **Short-term Fix (1 week)**: Release an update to address app crashes during launch. 3. **Long-term Fix (2 weeks)**: Optimize backend services to reduce load times. ## Implementation Steps - **Day 1**: Deploy session timeout patch to production. - **Day 3**: Begin testing crash fix in staging environment. - **Day 7**: Roll out crash fix to beta users. - **Day 14**: Deploy backend optimizations to production.
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