ffsshhttiikk
ffsshhttiikk/opencode-agents-skills
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。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ffsshhttiikk/opencode-agents-skills --skill big-data命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
基于 SOC 职业分类
| name | big-data |
| description | Big data processing and systems |
| license | MIT |
| compatibility | opencode |
| metadata | {"audience":"data-engineers","category":"data-science"} |
Use me when:
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, sum, avg
spark = SparkSession.builder \
.appName("Analytics") \
.config("spark.sql.shuffle.partitions", 200) \
.getOrCreate()
# Read from multiple sources
df = spark.read \
.parquet("s3://data-lake/raw/events/") \
.filter(col("date") >= "2024-01-01")
# Transform and aggregate
result = df.groupBy("user_id", "product_category") \
.agg(
sum("purchase_amount").alias("total_spent"),
avg("purchase_amount").alias("avg_purchase"),
count("*").alias("num_purchases")
) \
.orderBy(col("total_spent").desc())
# Write aggregated results
result.write \
.mode("overwrite") \
.partitionBy("product_category") \
.parquet("s3://data-warehouse/analytics/")