A comprehensive framework for auditing website performance by comparing intended user journeys with real-world Google Analytics and Search Console data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install improve-skill-with-best-practices
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install improve-skill-with-best-practices using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill provides a systematic, code-driven methodology for optimizing website performance using Openclaw Skills. It moves beyond surface-level metrics by first establishing a Website Goal Profile to understand what the site is designed to achieve. By auditing data from Google Search Console (GSC) and Google Analytics 4 (GA4), it identifies exactly where the reality of user behavior diverges from business intentions.
Built on a principle of accuracy, this skill ensures that all analysis is performed through Python-based scripts rather than manual interpretation. This approach allows for reproducible insights, automated chart generation, and prioritized improvement roadmaps that align technical SEO, performance auditing, and user experience with core business objectives.
Initialize the directory structure and Python environment for Openclaw Skills to manage data and scripts:
DATA_DIR=".skills-data/google-analytics-and-search-improve"
mkdir -p "$DATA_DIR"/{data,analysis,charts,scripts,cache,logs,tmp,configs}
# Set up Python environment via uv
uv venv "$DATA_DIR/venv" --python 3.12
uv pip install -p "$DATA_DIR/venv" -r skills/google-analytics-and-search-improve/scripts/pyproject.toml
Configure your .env file with SITE_URL, GSC_SITE_URL, and GA4_PROPERTY_ID. If using API mode, place your Google Service Account JSON key in the configs/ directory.
The skill maintains a strict separation between raw input and processed output within the data directory:
| Directory | Content Type | Purpose |
|---|---|---|
data/ |
Raw JSON/CSV | Unprocessed API responses from GSC, GA4, and PageSpeed Insights. |
analysis/ |
Markdown Reports | Processed results including site profiles, audit findings, and final reports. |
charts/ |
PNG Images | Visualizations generated by scripts to be embedded in reports. |
scripts/ |
Python Code | Analysis logic that transforms raw data into insights. |
configs/ |
JSON Keys | Authentication and configuration files for external APIs. |
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