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Data & AI

Machine learning, LLMs, and data processing.

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llm-ai

33.4K

team-composition-patterns

Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the correct subagent_type for each role to ensure agents have the tools they need, when configuring display modes (tmux, iTerm2, in-process) for a CI or local environment, or when building a custom team composition for a non-standard workflow such as a migration or security audit.

wshobson

data-ai

machine-learning

33.3K

integrating-models

Use when adding a new model or pipeline to diffusers, setting up file structure for a new model, converting a pipeline to modular format, or converting weights for a new version of an already-supported model.

huggingface

data-ai

data-engineering

32.5K

django-migrations

Django migration patterns and safety workflow for PostHog. Use when creating, adjusting, or reviewing Django/Postgres migrations, including non-blocking index/constraint changes, multi-phase schema changes, data backfills, migration conflict rebasing, and product model moves that require SeparateDatabaseAndState.

PostHog

data-ai

data-engineering

32.5K

implementing-warehouse-sources

Implement and extend PostHog Data warehouse import sources. Use when adding a new source under posthog/temporal/data_imports/sources, adding datasets/endpoints to an existing source, or adding incremental sync support, pagination, credentials validation, and source tests.

PostHog

data-ai

llm-ai

32.5K

implementing-agent-modes

Guidelines to create/update a new mode for PostHog AI agent. Modes are a way to limit what tools, prompts, and prompt injections are applied and under what conditions. Achieve better results using your plan mode.

PostHog

data-ai

llm-ai

32.1K

rag-implementation

RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.

sickn33

data-ai

llm-ai

32.1K

prompt-engineer

Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)

sickn33

data-ai

llm-ai

32.1K

llm-app-patterns

Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry best practices.

sickn33

data-ai

data-engineering

32.1K

schema-markup

Design, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact.

sickn33

data-ai

data-analysis

32.1K

monte-carlo-prevent

Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.

sickn33

data-ai

data-analysis

32.1K

monte-carlo-validation-notebook

Generates SQL validation notebooks for dbt PR changes with before/after comparison queries.

sickn33

data-ai

data-analysis

32.1K

oral-health-analyzer

分析口腔健康数据、识别口腔问题模式、评估口腔健康状况、提供个性化口腔健康建议。支持与营养、慢性病、用药等其他健康数据的关联分析。

sickn33

data-ai

data-analysis

32.1K

plotly

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

sickn33

data-ai

data-analysis

32.1K

seaborn

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.

sickn33

data-ai

data-analysis

32.1K

sexual-health-analyzer

Sexual Health Analyzer

sickn33

data-ai

data-analysis

32.1K

travel-health-analyzer

分析旅行健康数据、评估目的地健康风险、提供疫苗接种建议、生成多语言紧急医疗信息卡片。支持WHO/CDC数据集成的专业级旅行健康风险评估。

sickn33

data-ai

data-engineering

32.1K

airflow-dag-patterns

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

sickn33

data-ai

data-engineering

32.1K

dbt-transformation-patterns

Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.

sickn33

data-ai

data-engineering

32.1K

network-engineer

Expert network engineer specializing in modern cloud networking, security architectures, and performance optimization.

sickn33

data-ai

data-engineering

32.1K

scala-pro

Master enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures.

sickn33

data-ai

data-engineering

32.1K

unity-ecs-patterns

Production patterns for Unity's Data-Oriented Technology Stack (DOTS) including Entity Component System, Job System, and Burst Compiler.

sickn33

data-ai

data-engineering

32.1K

azure-ai-transcription-py

Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.

sickn33

data-ai

data-engineering

32.1K

azure-cosmos-ts

Azure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.

sickn33

data-ai

data-engineering

32.1K

azure-eventhub-py

Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing.

sickn33

data-ai

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