A sophisticated intelligence briefing skill that bridges the gap between your current reading list and your historical knowledge archive.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reader-deep-dive
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 reader-deep-dive 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 Reader Deep Dive?
Reader Deep Dive is a specialized extension designed for Openclaw Skills that transforms your reading list from a static queue into a dynamic intellectual timeline. Rather than letting articles accumulate in a "read-it-later" graveyard, this skill actively synthesizes your recent interests with your long-term library history. By analyzing saves from the last 24 hours and comparing them to content from months or even years ago, it provides a cohesive view of how your thinking on specific topics has evolved over time.
Built to integrate seamlessly with the Readwise ecosystem, Reader Deep Dive leverages LLMs to identify thematic obsessions and deliver context-rich summaries. It is an essential tool for researchers, students, and lifelong learners who want to ensure their digital consumption fuels long-term retention and synthesis.
Reader Deep Dive Use Cases
- resurfacing forgotten insights from your deep archive that relate to your current projects
- receiving a curated daily intelligence briefing directly via messaging platforms
- identifying shifts in your perspective by comparing current saves against historical data points
- auditing your reading habits to ensure high-signal information consumption
How Reader Deep Dive Works
- The skill initiates a scan of your Readwise Reader "new" folder to identify articles and highlights from the preceding 24 hours.
- It processes these recent items through your system's default LLM to categorize current themes and focus areas.
- The system executes a temporal search, retrieving relevant historical items from three distinct phases: three days ago, three months ago, and years ago.
- A final, synthesized briefing is generated, connecting the past and present content into a single, high-signal report delivered via WhatsApp or CLI.
Reader Deep Dive Setup
To get started with this skill for Openclaw Skills, follow these steps:
- Generate an Access Token by visiting readwise.io/access_token.
- Configure your environment variable:
export READWISE_TOKEN="your_token_here"
- To run the briefing manually, use the provided script:
bash scripts/brief.sh
Reader Deep Dive Data Schema & Taxonomy
The skill manages data through API interactions and local configuration files as detailed below:
| Data Component | Source/Storage | Role |
|---|---|---|
| Readwise API | External | Primary data source for recent saves and historical highlights. |
| READWISE_TOKEN | Environment Var | Secure authentication for accessing your personal library. |
| prompt/briefing.txt | Local File | Defines the LLM logic and formatting for the generated summary. |
| Scripts | Local File | brief.sh handles the execution logic for Openclaw Skills workflows. |
Reader Deep Dive Advanced Features
- automated scheduling via clawdbot cron for hands-free daily intelligence updates
- customizable prompting allows users to modify the tone, format, and depth of the briefings
- multi-temporal context mapping that surfaces data from 3-day, 3-month, and multi-year intervals
- optimized for WhatsApp-friendly output for easy reading on mobile devices
SKILL.md
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