weekly-ops-review

What This Skill Does

The weekly-ops-review skill is designed to act as your personal executive assistant, transforming the chaos of raw data into a structured weekly operating review. In modern professional life, information is often fragmented across calendar events, scattered notes, task managers, and various metric dashboards. This skill aggregates these disparate inputs to synthesize a coherent narrative of your week. It focuses on identifying core wins, analyzing misses, unblocking stalled projects, and establishing clear priorities for the upcoming week. By leveraging local scripts and template-based logic, it ensures that your review remains consistent, professional, and actionable.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface. Run the following command in your terminal: clawhub install openclaw/skills/skills/52yuanchangxing/weekly-ops-review This command will pull the necessary repository resources, including the weekly_review_pack.py script and the review_template.md file, ensuring the agent has all the dependencies required to execute the analysis.

Use Cases

1. Management Reporting: Quickly prepare a summary of team performance metrics and operational blockers for a Monday morning stand-up.
2. Personal Productivity: Reflect on the past week’s achievements versus your original goals to recalibrate your focus and avoid burnout.
3. Client Deliverables: Compile a professional status memo that highlights work completed and identifies key decision points, perfect for sharing with stakeholders.

Example Prompts

1. "周复盘 - I have my meeting notes in the clipboard and my current metrics in a CSV; please draft a weekly review for me."
2. "I need to prepare for my 1-on-1. Can you help me draft a weekly review memo using my task list and calendar highlights from this week?"
3. "经营周报: Summarize my progress against my OKRs for this week, including a carry-over board for unfinished tasks."

Tips & Limitations

• Be Specific: The quality of the output is heavily dependent on the input. Provide as much raw data as possible; the skill is designed to filter out noise.
• Verification: Always review the generated memo before sharing it. The agent identifies patterns but does not know your subjective experience—if a win felt like a failure to you, manually adjust the summary.
• Limitations: This skill focuses on synthesis and structure. It cannot 'guess' metrics that you have not provided. Furthermore, it is designed for first-pass drafting; final decisions and sensitive strategic shifts should always be vetted by human judgment.