weekly-ops-review

Turn scattered notes, metrics, and unfinished tasks into a weekly operating review with wins, misses, blockers, and next-week priorities.

Purpose

Turn scattered notes, metrics, and unfinished tasks into a weekly operating review with wins, misses, blockers, and next-week priorities.

Trigger phrases

• 周复盘
• weekly review
• 经营周报
• 整理这周做了什么
• next week priorities

Ask for these inputs

• notes
• metrics
• task list
• calendar highlights
• goals

Workflow

1. Summarize wins, misses, blockers, and decisions from the raw notes.
2. Compare outcomes against goals and available metrics.
3. Identify carry-over work and next-week top priorities.
4. Generate a concise review memo and an action board.
5. Keep the review honest: distinguish evidence from feeling.

Output contract

• weekly review memo
• metrics snapshot
• priority list
• carry-over board

Files in this skill

• Script: {baseDir}/scripts/weekly_review_pack.py
• Resource: {baseDir}/resources/review_template.md

Operating rules

• Be concrete and action-oriented.
• Prefer preview / draft / simulation mode before destructive changes.
• If information is missing, ask only for the minimum needed to proceed.
• Never fabricate metrics, legal certainty, receipts, credentials, or evidence.
• Keep assumptions explicit.

Suggested prompts

• 周复盘
• weekly review
• 经营周报

Use of script and resources

Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft. Use the resource file as the default schema, checklist, or preset when the user does not provide one.

Boundaries

• This skill supports planning, structuring, and first-pass artifacts.
• It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.

Compatibility notes

• Directory-based AgentSkills/OpenClaw skill.
• Runtime dependency declared through metadata.openclaw.requires.
• Helper script is local and auditable: scripts/weekly_review_pack.py.
• Bundled resource is local and referenced by the instructions: resources/review_template.md.