An automated utility for generating intelligent summaries and performing comprehensive project post-mortems across multiple content types.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 05
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 05 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 Intelligent Content Summary & Project Review?
The Content Summary skill is a versatile analysis tool built for Openclaw Skills that streamlines the process of synthesizing raw information into actionable reports. Whether you are managing complex development projects or tracking daily progress, this skill provides a structured way to extract key takeaways, decisions, and metrics. By operating locally with standard Python libraries, it ensures a lightweight yet powerful solution for maintaining project clarity and historical records within the Openclaw Skills ecosystem.
Intelligent Content Summary & Project Review Use Cases
- Automating the extraction of key tasks and blockers from daily developer logs.
- Conducting data-driven project reviews to measure goal achievement and identify lessons learned.
- Synthesizing long technical articles into punchy summaries with key arguments.
- Transforming unstructured meeting notes into clear decision logs and action items.
How Intelligent Content Summary & Project Review Works
- Input raw text or structured project data into the summary engine.
- Select the appropriate content category (daily, meeting, project, or article) to apply specific extraction rules.
- The system processes the text to identify keywords, calculate completion percentages, and identify success patterns.
- Data is persisted to a local SQLite database at ~/.ai_summary.db for future reference and trend analysis.
- Optionally, generate a formatted Markdown report for documentation or team distribution.
Intelligent Content Summary & Project Review Setup
The Content Summary skill requires Python 3.7 or higher and utilizes standard libraries for maximum compatibility. To integrate it into your Openclaw Skills workflow, use the following steps:
# Navigate to your local Openclaw Skills scripts directory
# Ensure scripts/summary_review.py is present
# Basic initialization in your Python environment
from summary_review import AISummaryReview
system = AISummaryReview()
Intelligent Content Summary & Project Review Data Schema & Taxonomy
The skill organizes data within a local SQLite database and categorizes information using the following taxonomy:
| Type | Description | Key Metadata Fields |
|---|---|---|
| daily | Work logs/diaries | completed_tasks, issues |
| meeting | Recorded sessions | agenda, decisions, action_items |
| project | Post-mortems | goals, achievements, lessons |
| article | Technical reading | main_idea, key_arguments |
| general | Unstructured text | key_points, summary |
Intelligent Content Summary & Project Review Advanced Features
- Multi-dimensional project analysis including goal achievement rates and success experience extraction.
- Local data persistence with automated history management via SQLite.
- Customizable Markdown export functionality for seamless integration with documentation workflows.
- Lightweight footprint with zero external API dependencies, ideal for secure Openclaw Skills environments.
- Future-proof design allowing for easy upgrades to AI-enhanced summary models.
SKILL.md
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