A smart AI-driven automation skill to quickly retrieve, summarize, and translate Formula 1 practice, qualifying, and race results.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install f1-summary
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 f1-summary 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 F1 Session Summary?
The F1 Session Summary skill is a powerful tool designed for the Openclaw Skills ecosystem to provide rapid, high-quality summaries of all Formula 1 sessions, including Free Practice (FP1, FP2, FP3), Qualifying, Sprint, and Grand Prix races. Leveraging real-time web search capabilities, the skill autonomously pulls data from leading authoritative motorsport sites like formula1.com to generate concise and comprehensive summaries.
Whether you are a developer looking to integrate live sports updates into your agentic workflow, or an avid F1 fan wanting immediate post-session analytics, this skill parses complex race data—such as lap times, grid positions, penalties, and weather conditions—into a digestible format. It even defaults to multi-lingual outputs depending on user preference.
F1 Session Summary Use Cases
- Get instant post-race summaries, including top finishers, times, and championship impacts right after the checkered flag.
- Track Free Practice sessions (FP1, FP2, FP3) to analyze team upgrades, run plans, and initial paces.
- Retrieve qualifying grids and starting positions with precise time gaps before the Grand Prix.
- Automate multi-lingual sports reporting in chat applications or custom developer dashboards.
How F1 Session Summary Works
- Analyze Request: The AI parses the user request to identify the specific Grand Prix, session type (e.g., FP1, Qualifying, Race), and date context.
- Construct Query: It dynamically structures an optimized web search query like "{Grand Prix} {session} results {date}".
- Execute Search: The skill triggers a web search to locate reliable motorsport sources.
- Fetch Details: It crawls and extracts text from authoritative sites such as formula1.com or Autosport.
- Synthesize & Translate: The skill extracts key information (top 3, gaps, incidents, weather) and formats it clearly in the user's preferred language.
F1 Session Summary Setup
To install and configure the F1 Session Summary skill in your Openclaw Skills workspace, ensure your agent has access to web search and fetching tools.
# Install the skill to your configuration
openclaw install f1-summary
Add the required configuration parameters to your agent environment:
{
"skills": ["f1-summary"],
"settings": {
"default_language": "it"
}
}
F1 Session Summary Data Schema & Taxonomy
The skill extracts and normalizes the following data structures from authoritative web sources:
| Field | Description | Type |
|---|---|---|
grand_prix |
Name of the Grand Prix location (e.g., Canada, Monaco) | String |
session_type |
Type of session (FP1, FP2, FP3, Qualifying, Sprint, Race) | String |
results |
Top 3 finishers with times, gaps, or grid positions | Array of Objects |
incidents |
Notable events such as crashes, penalties, or red flags | Array of Strings |
highlights |
Highlights on team performance and championship impact | String |
language |
Output language (defaults to Italian for specific users) | String |
F1 Session Summary Advanced Features
- Multi-Lingual Localization: Automatically detects and translates race summaries into the user's default language (e.g., Italian).
- Automated Deep-Parsing: Capable of reading complex timing sheets and converting them into highly-readable markdown tables.
- Contextual Awareness: Fact-checks and appends wider championship implications, upgrades, and weather reports to the final output.
- Extensible Fetch Engine: Integration-ready with any search and fetch capabilities within the wider ecosystem of Openclaw Skills.
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