An automated AI agent skill designed to track quantum technology research papers, generate structured Chinese notes, and maintain a daily research dashboard.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install quantum-daily-tracker
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 quantum-daily-tracker 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 Quantum Daily Tracker?
The Quantum Daily Tracker is a high-performance research automation tool built to keep professionals updated on the fast-moving world of quantum science. By utilizing Openclaw Skills, this agent monitors high-impact journals and preprint servers to identify significant advancements in quantum computing hardware, algorithms, and networking. It transforms raw academic data into structured, actionable insights by generating detailed technical notes and summaries that highlight core methodologies and key performance indicators.
This skill is particularly valuable for research teams and independent developers who need to synthesize information from diverse sources like arXiv, Nature, Science, and the American Physical Society. Beyond simple tracking, it provides a logical organizational structure for personal knowledge management (PKM) systems, ensuring that every piece of literature is categorized and searchable.
Quantum Daily Tracker Use Cases
- Automatically tracking daily breakthroughs in ion-trap, superconducting, and photonic quantum computing.
- Generating structured technical notes with hardware specifications for experimental physics research.
- Maintaining a synchronized research dashboard to visualize trends in quantum error correction and machine learning.
- Recovering missed research updates through an automated historical gap-filling mechanism.
How Quantum Daily Tracker Works
- The agent initializes by checking the last-run timestamp in the local memory directory to identify any missing dates.
- It fetches the latest publications from a pre-configured list of RSS feeds across major scientific platforms.
- A filtering layer identifies relevant papers based on specific domains like quantum communication, sensing, or hardware modalities.
- For high-value papers, the agent generates comprehensive Markdown notes including TL;DR summaries, system specs, and methodology breakdowns.
- The daily highlights are compiled into a summary report, and the primary dashboard is updated to reflect the last seven days of activity.
Quantum Daily Tracker Setup
To deploy this skill within your environment, ensure you have the Openclaw Skills framework configured. Follow these steps:
# Create the required directory structure
mkdir -p quantum-tracker/Papers
mkdir -p quantum-tracker/memory
# Initialize the tracking state (optional: defaults to 7 days ago)
echo "2023-10-01" > quantum-tracker/memory/last-run.txt
Ensure your agent has outbound network access to reach the RSS feeds for arXiv, Nature, and APS.
Quantum Daily Tracker Data Schema & Taxonomy
The skill organizes research data into a hierarchical file structure optimized for technical review:
| Directory | File Type | Purpose |
|---|---|---|
Papers/[Journal]/ |
Markdown | Individual paper notes with YAML metadata for PKM tools. |
papers/ |
Markdown | Daily summaries (YYYY-MM-DD.md) featuring AI-generated highlights. |
memory/ |
Text | State management files to track the last successful execution date. |
| Root | Markdown | A rolling Dashboard.md summarizing the latest 7 days of research. |
Quantum Daily Tracker Advanced Features
- Automated Gap-Filling: Detects execution downtime and automatically fetches missed papers to ensure continuity.
- Hardware-Centric Analysis: Specifically extracts experimental parameters like qubit fidelity, coherence times, and control hardware.
- PKM Integration: Generates notes with rich YAML frontmatter, aliases, and tags compatible with Obsidian and Logseq.
- Multi-Source Aggregation: Consolidates tracking across arXiv (quant-ph, optics, atom-ph) and premium journals like PRX Quantum.
SKILL.md
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