data-engineering
150.4K
kotlin-exposed-patterns
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.
affaan-m
data-ai
live ranking
Top Skills by Category
Switch categories to browse the 20 highest-starred skills in each capability cluster.
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Data Eng.
1541 skills
ranking size
20
top entries per category
parent domain
Data & AI
63 tracked categories
top 3 spotlight
Data Eng.
ETL pipelines and big data infrastructure.
stars-based
#1
#2
data-engineering
150.4K
crosspost
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
affaan-m
data-ai
#3
data-engineering
150.4K
clickhouse-io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
affaan-m
data-ai
full ranking
Data Eng.
Ranking is based on GitHub stars within the currently selected category.
1541 skillsStars
04
data-engineering
clickhouse-io
고성능 분석 워크로드를 위한 ClickHouse 데이터베이스 패턴, 쿼리 최적화, 분석 및 데이터 엔지니어링 모범 사례.
affaan-m
data-ai
05
06
data-engineering
architecture-decision-records
在Claude Code会话期间，将做出的架构决策捕获为结构化的架构决策记录（ADR）。自动检测决策时刻，记录上下文、考虑的替代方案和理由。维护一个ADR日志，以便未来的开发人员理解代码库为何以当前方式构建。
affaan-m
data-ai
07
data-engineering
claude-devfleet
通过Claude DevFleet协调多智能体编码任务——规划项目、在隔离的工作树中并行调度智能体、监控进度并读取结构化报告。
affaan-m
data-ai
08
data-engineering
inventory-demand-planning
为多地点零售商提供需求预测、安全库存优化、补货规划及促销提升估算的编码化专业知识。基于拥有15年以上管理数百个SKU经验的需求规划师的专业知识。包括预测方法选择、ABC/XYZ分析、季节性过渡管理及供应商谈判框架。适用于预测需求、设定安全库存、规划补货、管理促销或优化库存水平时使用。license: Apache-2.0
affaan-m
data-ai
09
data-engineering
kotlin-exposed-patterns
JetBrains Exposed ORM 模式，包括 DSL 查询、DAO 模式、事务、HikariCP 连接池、Flyway 迁移和仓库模式。
affaan-m
data-ai
10
11
data-engineering
clickhouse-io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
affaan-m
data-ai
12
data-engineering
clickhouse-io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
affaan-m
data-ai
13
data-engineering
content-hash-cache-pattern
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
affaan-m
data-ai
14
data-engineering
crosspost
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
affaan-m
data-ai
15
data-engineering
deployment-patterns
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
affaan-m
data-ai
16
data-engineering
evm-token-decimals
Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.
affaan-m
data-ai
17
data-engineering
ralphinho-rfc-pipeline
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
affaan-m
data-ai
18
data-engineering
stable-diffusion-image-generation
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
NousResearch
data-ai
19
data-engineering
para-memory-files
File-based memory system using Tiago Forte's PARA method. Use this skill whenever you need to store, retrieve, update, or organize knowledge across sessions. Covers three memory layers: (1) Knowledge graph in PARA folders with atomic YAML facts, (2) Daily notes as raw timeline, (3) Tacit knowledge about user patterns. Also handles planning files, memory decay, weekly synthesis, and recall via qmd. Trigger on any memory operation: saving facts, writing daily notes, creating entities, running weekly synthesis, recalling past context, or managing plans.
paperclipai
data-ai
20
data-engineering
syncable-entity-cache-and-transform
Create cache services and transformation utilities for syncable entities in Twenty. Use when implementing entity-to-flat conversions, input DTO transpilation to universal flat entities, or cache recomputation for syncable entities.
twentyhq
data-ai