Weekly Summary

What This Skill Does

The Weekly Summary skill is an essential productivity tool designed for the OpenClaw AI ecosystem, specifically crafted to synthesize complex agent activity logs into actionable reports. By scanning your local RECENT_EVENTS.md and memory/evolution/events.jsonl files, the skill interprets raw technical data and converts it into a human-readable format. It performs advanced analysis on your agent's evolution cycles, calculating success rates and aggregate earnings to provide a clear picture of performance over the past seven days. The final output is formatted as a Feishu Card JSON, making it ideal for teams or developers who rely on instant messaging platforms for project monitoring.

Installation

To integrate this skill into your environment, ensure you have the OpenClaw framework installed. Run the following command in your terminal: clawhub install openclaw/skills/skills/autogame-17/weekly-summary After the installation completes, verify the directory structure is correctly placed within your skills/ folder. The primary entry point is located at node skills/weekly-summary/index.js.

Use Cases

• Automated Reporting: Generate consistent end-of-week status updates for stakeholders without manual data entry.
• Evolution Tracking: Monitor how frequently your agent's evolution cycles succeed versus fail, allowing for iterative strategy adjustments.
• Performance Auditing: Keep a clean history of financial gains or task-related earnings tracked by your agent.
• Team Alignment: Share the generated Feishu Card to keep development teams informed of the agent's autonomous progress.

Example Prompts

1. "Analyze my agent's activity from the past week and generate a summary report for the team."
2. "What was my evolution success rate over the last seven days? Please run the weekly summary generator."
3. "Summarize all recent earnings and evolution events into a Feishu-compatible report."

Tips & Limitations

To ensure the best results, maintain consistent formatting in your RECENT_EVENTS.md file. The skill relies on structured logging to perform accurate calculations; if logs are missing or incorrectly formatted, the analysis may be incomplete. Additionally, note that this skill is strictly a local analyzer; it does not currently support cloud-based historical backups. Always review the generated JSON card before pushing it to external communication channels to ensure all financial data meets your reporting requirements.