Automatically logs meaningful insights, design decisions, and edge cases during Claude Code sessions, preserving institutional knowledge in session files and CLAUDE.md.
git clone https://github.com/nathanonn/claude-skill-build-insights-logger.gitBuild Insights Logger is a Claude Code skill that automatically captures non-trivial learnings during complex coding sessions, including edge cases, architectural trade-offs, performance considerations, API design patterns, and testing strategies. It writes these insights to session files stored in the .claude/insights/ directory, keeping a structured record of discoveries as they happen. After a session, an interactive review workflow lets developers select which insights are worth preserving long-term, then transfers them to CLAUDE.md as institutional knowledge. Completed sessions can be archived for historical reference. Developers working on complex or evolving codebases benefit most, as the skill helps prevent hard-won knowledge from being lost between sessions.
Add the marketplace to Claude Code by running `/plugin marketplace add nathanonn/claude-skill-build-insights-logger`. The `build-insights-logger` skill will then be available to install and activates automatically during complex coding sessions where institutional knowledge should be preserved. Insights are logged to `.claude/insights/` and can be reviewed interactively to select which learnings get transferred to CLAUDE.md.
Preserving architectural decisions and trade-offs made during a complex feature build
Documenting unexpected edge cases discovered while implementing business logic
Tracking security and performance considerations identified during a coding session
Transferring session learnings into CLAUDE.md for long-term team knowledge retention
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/nathanonn/claude-skill-build-insights-loggerCopy 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.
Create an insights logger for [COMPANY] in the [INDUSTRY] sector. The logger should track [DATA] and provide actionable insights. Include a summary section, key metrics, and recommendations. Format the output as a markdown report.
# Insights Logger for GreenTech Solutions ## Summary The insights logger has analyzed the past 30 days of customer engagement data for GreenTech Solutions, a renewable energy company. Key trends and anomalies have been identified to help optimize operations and customer satisfaction. ## Key Metrics - **Average Session Duration**: 4.2 minutes (up 15% from last month) - **Customer Support Tickets**: 120 (down 20% from last month) - **Most Common Issue**: Billing inquiries (30% of tickets) - **Peak Engagement Hours**: 10 AM - 12 PM and 2 PM - 4 PM ## Recommendations - **Optimize Billing Process**: Implement a self-service portal for common billing inquiries to reduce support ticket volume. - **Staffing Adjustments**: Increase support staff during peak engagement hours to improve response times. - **Customer Education**: Develop tutorials and FAQs to address common issues proactively. ## Anomalies Detected - **Unexpected Drop in Support Tickets**: Investigate potential causes such as system issues or customer dissatisfaction. - **Increased Engagement on Weekends**: Analyze weekend-specific customer needs and adjust marketing strategies accordingly.
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