菜单
Collect football data from external APIs including FotMob L2 data, odds information, and real-time match statistics. Use when gathering match data, collecting historical statistics, or updating prediction datasets.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | data-collection |
| description | Collect football data from external APIs including FotMob L2 data, odds information, and real-time match statistics. Use when gathering match data, collecting historical statistics, or updating prediction datasets. |
专业的足球数据收集技能，支持从多个外部API获取实时和历史数据，为预测系统提供高质量的数据源。
python scripts/collectors/fotmob_api_collector.py --match_id "12345"
python scripts/collectors/enhanced_fotmob_collector.py --league "Premier League" --days 30
from scripts.collectors.enhanced_fotmob_collector import EnhancedFotMobCollector
collector = EnhancedFotMobCollector()
data = collector.collect_live_match(match_id="12345")
{
"match_id": "12345",
"home_team": "Manchester United",
"away_team": "Arsenal",
"score": {
"home": 2,
"away": 1
},
"statistics": {
"possession": {"home": 55, "away": 45},
"shots": {"home": 15, "away": 8},
"xg": {"home": 2.1, "away": 0.8}
},
"events": [
{
"minute": 25,
"type": "goal",
"player": "Bruno Fernandes",
"team": "home"
}
]
}
# .env.dev
FOTMOB_BASE_URL=https://api.fotmob.com
FOTMOB_X_MAS_HEADER=your_header_value
FOTMOB_RATE_LIMIT=100 # requests per minute
DATA_COLLECTION_CONFIG = {
"retry_attempts": 3,
"timeout": 30,
"batch_size": 100,
"parallel_workers": 4
}
try:
data = collector.collect_match(match_id)
except RateLimitError:
time.sleep(60) # 等待1分钟后重试
except NetworkError:
retry_with_backoff(match_id)
except DataFormatError:
log_error_and_continue(match_id)
scripts/collectors/enhanced_fotmob_collector.py - 主要收集器scripts/collectors/fotmob_api_collector.py - 基础收集器scripts/collectors/base_collector.py - 基础类scripts/data_collector_v2.py - V2收集器# 数据收集 → 特征工程 → 模型预测
data = collector.collect_match(match_id)
features = feature_engineer.process(data)
prediction = model.predict(features)
# 收集性能指标
metrics.collector_success_rate.inc()
metrics.collection_duration.observe(time.time() - start)
v26-harvest: V26.1 收割流水线data-engineering: ETL 数据管道database-operations: 数据库操作Comprehensive API testing including unit tests, integration tests, performance testing, and automated test pipelines. Use when testing REST endpoints, validating API responses, load testing, or setting up test automation.
Manage code quality for Football Prediction project using Make commands. Use when running quality checks, formatting code, running tests, or preparing for commits. Supports black, flake8, mypy, bandit, pytest, and coverage tools.
Design and optimize data pipelines for football prediction system. Use when building ETL processes, data transformations, or optimizing data flow between PostgreSQL, Redis, and external APIs.
Manage PostgreSQL database operations including migrations, query optimization, connection pooling, and data backup/restore. Use when handling database tasks, optimizing queries, or managing database connections.
Manage application deployment including Docker containers, production environments, and service orchestration. Use when deploying to production, managing Docker services, or handling deployment rollbacks.
专业级容器化部署和自动化运维技能，基于FootballPrediction项目实战经验，提供Docker容器管理、权限修复、健康监控、故障诊断、一键部署等10个核心能力。