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/fastf1

Formula 1 data — race schedules, results, lap timing, driver and team info. Powered by the FastF1 library. Covers F1 sessions, qualifying, practice, race results, sector times, tire strategy. Use when: user asks about F1 race results, qualifying, lap times, driver stats, team

From plugin
sports-skills
20225 skills
Install
$ npx -y skills add machina-sports/sports-skills --skill fastf1 --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/fastf1

Context preview

The summary Claude sees to decide when to auto-load this skill.

Formula 1 data — race schedules, results, lap timing, driver and team info. Powered by the FastF1 library. Covers F1 sessions, qualifying, practice, race results, sector times, tire strategy. Use when: user asks about F1 race results, qualifying, lap times, driver stats, team

SKILL.md

fastf1.SKILL.md
name: fastf1
description: |
  Formula 1 data — race schedules, results, lap timing, driver and team info. Powered by the FastF1 library. Covers F1 sessions, qualifying, practice, race results, sector times, tire strategy.

  Use when: user asks about F1 race results, qualifying, lap times, driver stats, team info, the F1 calendar, or Formula 1 data.
  Don't use when: user asks about other motorsports (MotoGP, NASCAR, IndyCar, WEC, Formula E). Don't use for F1 betting odds or predictions — use kalshi or polymarket instead. Don't use for F1 news articles — use sports-news instead.
license: MIT
compatibility: "Requires Python 3.10+ (install with: pip install sports-skills)"
metadata:
  author: machina-sports
  version: "0.1.0"

FastF1 — Formula 1 Data

Before writing queries, consult `references/api-reference.md` for endpoints, ID conventions, and data shapes.

Quick Start

Prefer the CLI — it avoids Python import path issues:

sports-skills f1 get_race_schedule --year=2025
sports-skills f1 get_race_results --year=2025 --event=Monza

Python SDK (alternative):

from sports_skills import f1

schedule = f1.get_race_schedule(year=2025)
results = f1.get_race_results(year=2025, event="Monza")

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

  • Year is derived from the system prompt's `currentDate` — never hardcoded.
  • In January or February, use `year = current_year - 1` (pre-season; the new F1 season has not started yet).

Choosing the Year

Derive the current year from the system prompt's date (e.g., `currentDate: 2026-02-16` → current year is 2026).

  • **If the user specifies a year**, use it as-is.
  • **If the user says "latest", "recent", "last season", or doesn't specify**: The F1 season runs roughly March–December. If the current month is January or February, use `year = current_year - 1`. From March onward, use the current year.

Workflows

Race Weekend Analysis

1. `get_race_schedule --year=<year>` — find the event name and date 2. `get_race_results --year=<year> --event=<name>` — final classification (positions, times, points) 3. `get_lap_data --year=<year> --event=<name> --session_type=R` — lap-by-lap pace analysis 4. `get_tire_analysis --year=<year> --event=<name>` — strategy breakdown (compounds, stint lengths, degradation)

Driver/Team Comparison

1. `get_championship_standings --year=<year>` — championship context (points, wins, podiums) 2. `get_team_comparison --year=<year> --team1=<t1> --team2=<t2>` OR `get_driver_comparison --year=<year> --driver1=<d1> --driver2=<d2>` 3. `get_season_stats --year=<year>` — aggregate performance (fastest laps, top speeds)

Season Overview

1. `get_race_schedule --year=<year>` — full calendar with dates and circuits 2. `get_championship_standings --year=<year>` — driver and constructor standings 3. `get_season_stats --year=<year>` — season-wide fastest laps, top speeds, points leaders 4. `get_driver_info --year=<year>` — current grid (driver numbers, teams, nationalities)

Commands

| Command | Description | |---|---| | `get_race_schedule` | Full season calendar with dates and circuits | | `get_race_results` | Final race classification (positions, times, points) | | `get_session_data` | Raw session info (Q, FP1, FP2, FP3, R) | | `get_driver_info` | Driver details from the grid | | `get_team_info` | Team info with driver lineup | | `get_lap_data` | Lap-by-lap timing with sectors and tire data | | `get_pit_stops` | Pit stop durations and team averages | | `get_speed_data` | Speed trap and intermediate speed data | | `get_championship_standings` | Driver and constructor championship standings | | `get_season_stats` | Aggregate season performance | | `get_team_comparison` | Team head-to-head: qualifying, race pace, sectors | | `get_driver_comparison` | Driver head-to-head: qualifying H2H, race H2H, pace delta | | `get_tire_analysis` | Tire strategy, stint lengths, degradation rates |

See `references/api-reference.md` for full parameter lists and return shapes.

Examples

Example 1: F1 calendar User says: "Show me the F1 calendar" Actions: 1. Derive year from `currentDate` 2. Call `get_race_schedule(year=<derived_year>)` Result: Full calendar with event names, dates, and circuits

Example 2: Driver race performance User says: "How did Verstappen do at Monza?" Actions: 1. Derive year from `currentDate` (or from context) 2. Call `get_race_results(year=<year>, event="Monza")` for final classification 3. Call `get_lap_data(year=<year>, event="Monza", session_type="R", driver="VER")` for lap times Result: Finishing position, gap to leader, fastest lap, and tire strategy

Example 3: Latest results queried in pre-season User says: "What were the latest F1 results?" (asked in February 2026) Actions: 1. Current month is February → season not yet started → use `year = 2025` 2. Call `get_race_schedule(year=2025)` to find the last event of that season 3. Call `get_race_results(year=2025, event=<last_event>)` for the final race results Result: Results of the final 2025 race

Commands that DO NOT exist — never call these

  • ~~`get_qualifying`~~ / ~~`get_practice`~~ — does not exist. Use `get_session_data` with `session_type="Q"` for qualifying or `session_type="FP1"`/`"FP2"`/`"FP3"` for practice.
  • ~~`get_standings`~~ — does not exist. Use `get_championship_standings` instead.
  • ~~`get_results`~~ — does not exist. Use `get_race_results` instead.
  • ~~`get_calendar`~~ — does not exist. Use `get_race_schedule` instead.

If a command is not listed in the Commands table above, it does not exist.

Troubleshooting

Error: Event name not found Cause: Event name spelling does not match FastF1's internal naming Solution: Call `get_race_schedule(year=<year>)` first to get the exact event names, then retry with the correct name

Error: Session data is empty Cause: The session has not happened yet Solution: FastF1 only returns data for completed sessions. Check `get_race_schedule` fo

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Ships withsports-skills

Open-source agent skills for live sports data and prediction markets. Built for the Agent Skills spec. Works with sportsclaw, OpenClaw, Claude Code, Cursor, Copilot, Gemini CLI, Hermes Agent, and every major AI agent. Zero API keys. Zero signup.

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Repo: machina-sports/sports-skills

Other skills on sports-skills.