A sophisticated performance analysis tool designed to decode social media growth patterns and engagement metrics for actionable improvement.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install account-analyzer
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 account-analyzer 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 Account Analyzer?
Account Analyzer is a specialized utility within the Openclaw Skills ecosystem that empowers developers and marketers to extract deep insights from social media profiles. By leveraging automated data collection and statistical modeling, the skill provides a comprehensive breakdown of follower trends, content effectiveness, and audience behavior across platforms like Xiaohongshu.
This skill bridges the gap between raw platform data and strategic execution. It allows users to move beyond surface-level metrics by calculating precise engagement rates and identifying posting patterns that actually drive growth, making it a cornerstone for anyone building data-driven social media strategies.
Account Analyzer Use Cases
- Benchmarking account performance against competitors to identify market gaps.
- Auditing historical follower growth to detect organic or inorganic patterns.
- Analyzing content performance to determine the most effective media formats and topics.
- Generating automated weekly performance dashboards for stakeholders or clients.
- Optimizing posting schedules based on data-driven audience activity insights.
How Account Analyzer Works
- The user initiates a request specifying the target account handle, the social platform, and the desired analysis timeframe.
- The skill utilizes integrated platform scrapers to securely fetch public metrics including follower counts, likes, shares, and comments.
- The raw data is processed using the pandas library to calculate growth velocity and engagement distributions.
- Matplotlib is invoked to generate visual growth trends and performance dashboards.
- The system applies heuristic logic to the processed data to generate a list of actionable recommendations for account improvement.
Account Analyzer Setup
To integrate this tool from the Openclaw Skills collection, ensure you have the necessary dependencies installed and execute the script via the CLI:
# Install required Python packages
pip install requests pandas matplotlib
# Run the analysis for a specific account
python skills/account-analyzer/analyze.py --account "@username" --platform "xiaohongshu" --period "30d"
Account Analyzer Data Schema & Taxonomy
The Account Analyzer skill organizes output data into structured reports and visual assets. The following table describes the primary data outputs:
| Output Component | Format | Description |
|---|---|---|
| Performance Dashboard | Image/PDF | A visual summary of key KPIs and engagement metrics. |
| Growth Trends | CSV/Plot | Time-series data reflecting follower count changes. |
| Engagement Metrics | JSON/Table | Raw and calculated rates for likes, comments, and saves. |
| Recommendations | Markdown | Text-based strategic advice based on data anomalies. |
Account Analyzer Advanced Features
- Multi-platform support allowing for cross-channel performance comparisons.
- Custom time-period filtering (e.g., 7d, 30d, 90d) for granular trend analysis.
- Automated competitor benchmarking to compare your growth velocity against industry peers.
- Integration-ready architecture for pushing insights into larger Openclaw Skills automation workflows.
- Visual plotting of posting patterns to correlate frequency with engagement spikes.
SKILL.md
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