A strategic analysis pipeline that transforms daily memory logs into high-level retrospectives to identify work patterns and friction points.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weekly-retro
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install weekly-retro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Weekly Retro?
Weekly Retro is a sophisticated analytical framework designed for the Openclaw Skills ecosystem. Unlike simple daily recaps, this skill performs a deep-dive longitudinal analysis of an AI agent's memory logs over a seven-day period. It is engineered to answer the critical question: what should change next week?
By processing raw memory files through a multi-stage pipeline, Weekly Retro identifies recurring themes, repeated failures, and time sinks that are often invisible in day-to-day operations. It provides developers and knowledge workers with a data-driven mirror of their work week, enabling continuous improvement through structured reflection.
Weekly Retro Use Cases
- Conducting a formal weekly review to evaluate productivity and goal alignment.
- Identifying recurring technical friction points or toolchain issues across multiple sessions.
- Tracking accomplishments and 'shipped' items for reporting or personal portfolios.
- Surfacing unfinished business and carry-forward tasks to prevent project drift.
- Analyzing work schedule patterns and attention distribution for better time management.
How Weekly Retro Works
- Gather: The
gather_week.pyscript scans the memory directory to extract and structure data from the last N days. - Analyze: The
analyze.pyscript processes the gathered data to detect patterns, such as themes appearing more than three times or disproportionate time sinks. - Report: The
retrospective.pyscript synthesizes the analysis into a human-readable Markdown report with strategic recommendations. - Archive: The optional
history.pyscript records the analysis into a longitudinal database to track trends over months or years.
Weekly Retro Setup
To integrate this into your environment, ensure you have the Openclaw Skills scripts available. The pipeline relies on standard Python libraries.
# Run the full retrospective pipeline
python3 scripts/gather_week.py --memory-dir ~/.openclaw/workspace/memory | \
python3 scripts/analyze.py | \
python3 scripts/retrospective.py --output vault/weekly-retro/$(date +%F).md
Weekly Retro Data Schema & Taxonomy
The skill produces Obsidian-compatible Markdown files with rich YAML frontmatter. Data is organized as follows:
| Component | Type | Description |
|---|---|---|
| Frontmatter | YAML | Contains date ranges, auto-detected tags, and a numerical week score. |
| Wins | List | Evidence-based accomplishments (shipped, fixed, built). |
| Patterns | Analysis | Recurring topics and work schedule distribution. |
| Friction Points | Issues | Repeated failures or bottlenecks encountered during the week. |
| Recommendations | Actionable | 2-3 specific changes suggested for the upcoming week. |
Weekly Retro Advanced Features
- Longitudinal Trend Tracking: Use the history script to visualize improvements or regressions over several months.
- Automated Scheduling: Support for cron-based execution to generate reports every Sunday evening automatically.
- Configurable Lookback: Adjust the analysis window beyond the standard 7 days for custom sprint reviews.
- Vault Integration: Optimized for PKM tools like Obsidian with native support for metadata and linking.
SKILL.md
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