LazyClaude is a terminal-based UI for visualizing and managing Claude Code customizations. It benefits developers and operations teams by providing a clear overview of changes. It connects to Claude Code and integrates into existing development workflows.
git clone https://github.com/NikiforovAll/lazyclaude.gitlazyclaude is an innovative automation skill designed to provide a lazygit-style terminal user interface (TUI) for visualizing customizations made in Claude Code. This skill allows users to interactively explore and manage their AI automation configurations, making it easier to understand and optimize their workflows. By presenting a clear visual representation of customizations, lazyclaude enhances the user experience and streamlines the process of managing AI agent skills. One of the key benefits of using lazyclaude is the potential for improved efficiency in workflow automation. Although specific time savings are currently unknown, the intuitive interface allows developers and product managers to quickly navigate through complex configurations, reducing the time spent on troubleshooting and adjustments. This skill is particularly beneficial for those working in environments where rapid iteration and deployment of AI automation solutions are critical. lazyclaude is ideal for developers, product managers, and AI practitioners who are looking to enhance their productivity and streamline their workflow automation processes. By providing a clear visualization of Claude Code customizations, it empowers users to make informed decisions about their AI agent skills. Whether you are a seasoned developer or a product manager overseeing AI projects, lazyclaude can significantly improve your understanding of the underlying code and its implications for your workflows. Implementing lazyclaude requires an intermediate level of expertise, with an estimated time to implement of around 30 minutes. This skill fits seamlessly into AI-first workflows, enabling users to visualize and manage their AI automation tasks effectively. As AI continues to evolve, tools like lazyclaude will play a crucial role in helping teams leverage AI technology to its fullest potential, ensuring that their automation strategies are both efficient and effective.
1. **Access LazyClaude**: Open the terminal-based UI with `lazyclaude` or via your IDE extension. Ensure you’re logged into your Claude Code account. 2. **Load Your Project**: Use `lazyclaude --project [PROJECT_NAME]` to load the customizations for your specific project. Alternatively, navigate to the project directory and run `lazyclaude` to auto-detect the project. 3. **Generate the Audit Report**: Run `lazyclaude audit --goal [PERFORMANCE_GOALS]` to generate a summary of customizations, conflicts, and optimizations. Replace `[PERFORMANCE_GOALS]` with your specific objectives (e.g., `reduce_latency`, `optimize_costs`). 4. **Review and Act**: Use the generated report to identify conflicts and outdated configurations. Click on any customization ID in the UI to open its details, dependencies, and modification history. Apply the suggested optimizations directly in the LazyClaude interface or export the report for further review. 5. **Test and Deploy**: After applying changes, use LazyClaude’s built-in testing tools to validate the optimizations. For example, run `lazyclaude test --customization [ID]` to simulate the customization’s impact before deploying to production. **Tips for Better Results:** - Always run the audit report before making major changes to your customizations. - Use the `--dry-run` flag with optimizations to preview changes without applying them (e.g., `lazyclaude optimize --dry-run`). - Collaborate with your team by sharing the audit report via LazyClaude’s export feature (supports JSON and CSV).
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/NikiforovAll/lazyclaudeCopy 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 LazyClaude to visualize and manage customizations for [PROJECT_NAME]. Generate a summary of all active customizations, their status (enabled/disabled), last modified dates, and dependencies. Identify any conflicts or outdated configurations. Then, suggest a prioritized list of optimizations based on [PERFORMANCE_GOALS]. For each suggestion, include the expected impact and implementation steps.
### LazyClaude Customization Audit Report
**Project:** Acme Corp AI Assistant Integration
**Generated:** November 15, 2023
**Performance Goal:** Optimize response latency for sales inquiries
---
#### **Current Customization Overview**
| Customization ID | Name | Status | Last Modified | Dependencies | Notes |
|------------------|--------------------------|-----------|---------------|----------------------------|--------------------------------|
| CC-001 | Sales Lead Prioritization| Enabled | Oct 3, 2023 | CRM Integration (v2.1) | Uses lead scoring model |
| CC-002 | Email Template Generator | Disabled | Sep 12, 2023 | None | Outdated template structure |
| CC-003 | Real-time Sentiment Analysis | Enabled | Nov 1, 2023 | NLP Model (v3.2) | High resource usage |
| CC-004 | Follow-up Automation | Enabled | Oct 28, 2023 | Email API (v1.4) | Conflicts with CC-005 |
| CC-005 | Bulk Email Campaign Tool | Enabled | Nov 5, 2023 | Email API (v1.4) | Overrides CC-004's scheduling |
---
#### **Conflict Detection**
- **CC-004 vs. CC-005:** Both customizations attempt to modify the `Email API (v1.4)` scheduling system. This causes inconsistent email delivery timing. Recommend merging functionality into a single workflow.
- **CC-002:** Disabled due to template structure incompatibility with the latest Gmail API changes. Requires update or removal.
---
#### **Optimization Recommendations**
1. **Merge CC-004 and CC-005**
- **Impact:** Reduce API calls by 40%, improve email delivery consistency.
- **Steps:**
a. Review both customizations in LazyClaude's UI.
b. Consolidate scheduling logic into a unified workflow.
c. Test with a small batch of leads (e.g., 50 contacts).
d. Deploy to production and monitor for 48 hours.
- **Expected Outcome:** 20% faster response time for follow-ups.
2. **Update CC-002 or Remove**
- **Impact:** Eliminate template errors and reduce maintenance overhead.
- **Steps:**
a. Open the template generator in LazyClaude.
b. Compare current templates with Gmail's latest API requirements.
c. If updates are minor, apply changes; otherwise, disable and archive.
- **Expected Outcome:** 15% reduction in template rendering failures.
3. **Optimize CC-003 (Sentiment Analysis)**
- **Impact:** Reduce API costs by 30% without sacrificing accuracy.
- **Steps:**
a. Adjust sentiment analysis thresholds in LazyClaude's settings.
b. Enable sampling mode to analyze 10% of emails first.
c. Compare results with full analysis and adjust thresholds.
- **Expected Outcome:** Balanced cost/accuracy ratio for sentiment scoring.
---
#### **Next Steps**
1. Prioritize the merge of CC-004 and CC-005 to resolve conflicts immediately.
2. Schedule a review of CC-002 with the marketing team to determine if it’s still needed.
3. Implement sentiment analysis optimization in a staging environment before production.
**LazyClaude Summary:** 4 customizations reviewed. 1 conflict resolved. 3 optimizations proposed. Total estimated improvement: 35% faster response time for sales inquiries.Where Money Chats
AI assistant built for thoughtful, nuanced conversation
Get more done every day with Microsoft Teams – powered by AI
Automate your spreadsheet tasks with AI power
Agentic AI Workflow platform
Connected workspace for docs, wikis, and projects
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan