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fastf1fastf1 搜索

Agent Skill

fastf1 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,482

周安装

63

GitHub Stars

90

下载量

519
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fastf1(fastf1 搜索)
来源仓库:https://github.com/machina-sports/sports-skills
仓库路径:skills/fastf1
安装命令:
npx skills add https://github.com/machina-sports/sports-skills --skill fastf1
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/machina-sports/sports-skills --skill fastf1

简介

Formula 1 赛事数据的快速检索与获取工具。

  • 支持赛程、成绩与车队信息的命令行查询。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 自动推导当前赛季或指定年份数据源。fastf1 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 GitHub 安装,适用于体育数据分析场景。
  • 建议使用 CLI 避免 Python 环境依赖问题。

SKILL.md

FastF1 — Formula 1 Data

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")

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 a year: The F1 season runs roughly March-December. If the current month is January or February (i.e., before the new season starts), use year = current_year - 1 since that's the most recent completed season. From March onward, use the current year — races will have started or be imminent.
  • Never hardcode a year. Always derive it from the system date.

Workflows

Workflow: 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)

Workflow: 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_teammate_comparison --year=<year> --team=<team> — head-to-head qualifying and race pace
  3. get_season_stats --year=<year> — aggregate performance (fastest laps, top speeds)

Workflow: 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)

Available Commands

get_race_schedule, get_race_results, get_session_data, get_driver_info, get_team_info, get_lap_data, get_pit_stops, get_speed_data, get_championship_standings, get_season_stats, get_team_comparison, get_teammate_comparison, get_tire_analysis.

For return schemas, parameter details, and valid command lists, read the files in the references/ directory.

Examples

User: "Show me the F1 calendar"

  1. Call get_race_schedule(year={year})
  2. Present schedule with event names, dates, and circuits

User: "How did Verstappen do at Monza?"

  1. Derive the year (if unspecified, use the latest completed season per the rules above)
  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
  4. Present finishing position, gap to leader, fastest lap, and tire strategy

User: "What were the latest F1 results?" (asked in February 2026)

  1. Current month is February → season hasn't 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
  4. Present the results

Error Handling & Fallbacks

  • If event name not found → call get_race_schedule first to find the exact event name. Retry with the correct name.
  • If session data is empty → the session hasn't happened yet. FastF1 only returns data for completed sessions.
  • If a command returns an error → check the valid commands list in references/commands.md. Do NOT invent command names.
  • If get_race_results returns no fastest_lap_time → use get_lap_data and find the minimum lap_time across all drivers instead.
  • In Jan/Feb, use year = current_year - 1 for the most recent completed season. Do NOT query the current year before March.
  • Never fabricate lap times, race results, or championship points. If data is unavailable, state so clearly.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.15%
按下载量换算198

Claude

29.14%
按下载量换算151

Cursor

19.67%
按下载量换算102

Gemini CLI

9.74%
按下载量换算51

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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