f1-analyst

Analyze Formula 1 race data to answer questions about lap times, standings, tyre strategy, and telemetry.

1|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/jshudzina/PitLane-AI --skill f1-analyst
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: f1-analyst
Source: https://github.com/jshudzina/PitLane-AI/tree/main/packages/pitlane-agent/src/pitlane_agent/.claude/skills/f1-analyst
Command: npx skills add https://github.com/jshudzina/PitLane-AI --skill f1-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Answer questions about F1 races, drivers, qualifying, and practice sessions using data-driven insights.

Core Features & Use Cases

  • Lap-time and tyre-strategy analysis with data visualizations
  • Telemetry and session context analysis for standings and race results
  • Driver and team comparisons across sessions with actionable insights

Quick Start

Ask the agent to analyze a specific race scenario, such as comparing lap times between drivers in Monaco qualifying.

Frequently Asked Questions about f1-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze Formula 1 lap times and compare driver performance across sessions?

Formula 1 lap time analysis evaluates driver performance across qualifying, practice, and race sessions. The skill processes telemetry and workspace data to generate statistics, visualizations, and narrative summaries for actionable driver and team comparisons.

What is the best way to visualize F1 tyre strategy and telemetry data?

Visualizing F1 tyre strategy and telemetry data involves analyzing race context and session standings to produce charts. The skill applies data-driven analysis to workspace references, returning visualizations that highlight tyre performance and race results.

Can I evaluate F1 race results and standings without external data dependencies?

Evaluating F1 race results and standings requires no external dependencies. The skill uses internal references and available workspace data to analyze session telemetry, lap times, and tyre strategies, generating narrative summaries and statistics.

Does F1 race analysis work for comparing specific drivers like at Monaco qualifying?

F1 race analysis works for comparing specific drivers in scenarios like Monaco qualifying. The skill analyzes telemetry, lap times, and tyre strategy across specific events and sessions to deliver actionable insights and visualizations.

How do I get actionable insights from Formula 1 telemetry and practice session data?

Getting actionable insights from Formula 1 telemetry and practice session data requires analyzing driver and team context. The skill processes applicable analysis types from references and workspace data to return charts, statistics, and narrative summaries.