llm-ai
26
defense-in-depth
Use when building secure AI pipelines or hardening LLM integrations. Implements 8 validation layers from edge to storage with no single point of failure.
yonatangross
data-ai
sorting
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current ordering strategy
query
all entries
refine the visible subset
llm-ai
26
langgraph-functional
LangGraph Functional API with @entrypoint and @task decorators. Use when building workflows with the modern LangGraph pattern, enabling parallel execution, persistence, and human-in-the-loop.
yonatangross
data-ai
llm-ai
26
contextual-retrieval
Anthropic's Contextual Retrieval technique for improved RAG. Use when chunks lose context during retrieval, implementing hybrid BM25+vector search, or reducing retrieval failures.
yonatangross
data-ai
llm-ai
26
high-performance-inference
High-performance LLM inference with vLLM, quantization (AWQ, GPTQ, FP8), speculative decoding, and edge deployment. Use when optimizing inference latency, throughput, or memory.
yonatangross
data-ai
llm-ai
26
langgraph-checkpoints
LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions, debugging with state history, or avoiding re-running expensive operations.
yonatangross
data-ai
llm-ai
26
llm-safety-patterns
Security patterns for LLM integrations including prompt injection defense and hallucination prevention. Use when implementing context separation, validating LLM outputs, or protecting against prompt injection attacks.
yonatangross
data-ai
llm-ai
26
rag-implementation
Comprehensive guide to implementing RAG systems including vector database selection, chunking strategies, embedding models, and retrieval optimization. Use when building RAG systems, implementing semantic search, optimizing retrieval quality, or debugging RAG performance issues.
applied-artificial-intelligence
data-ai
llm-ai
26
mcp-server-building
Building MCP (Model Context Protocol) servers for Claude extensibility. Use when creating MCP servers, building custom Claude tools, extending Claude with external integrations, or developing tool packages for Claude Desktop.
yonatangross
data-ai
llm-ai
26
reddit-thread-analyzer
Analyze Reddit threads for sentiment, consensus opinions, top arguments, and discussion patterns. Use this when users want to understand Reddit community opinions, analyze discussions, or gather insights from subreddit conversations.
OneWave-AI
data-ai
data-engineering
25
streamlit-development
Developing, testing, and deploying Streamlit data applications on Snowflake. Use this skill when you're building interactive data apps, setting up local development environments, testing with pytest or Playwright, or deploying apps to Snowflake using Streamlit in Snowflake.
sfc-gh-dflippo
data-ai
data-engineering
25
dbt-core
Managing dbt-core locally - installation, configuration, project setup, package management, troubleshooting, and development workflow. Use this skill for all aspects of local dbt-core development including non-interactive scripts for environment setup with conda or venv, and comprehensive configuration templates for profiles.yml and dbt_project.yml.
sfc-gh-dflippo
data-ai
data-engineering
25
snowflake-connections
Configuring Snowflake connections using connections.toml (for Snowflake CLI, Streamlit, Snowpark) or profiles.yml (for dbt) with multiple authentication methods (SSO, key pair, username/password, OAuth), managing multiple environments, and overriding settings with environment variables. Use this skill when setting up Snowflake CLI, Streamlit apps, dbt, or any tool requiring Snowflake authentication and connection management.
sfc-gh-dflippo
data-ai
machine-learning
25
project-development
Design and build LLM-powered projects from ideation through deployment. Use when starting new agent projects, choosing between LLM and traditional approaches, or structuring batch processing pipelines.
muratcankoylan
data-ai
llm-ai
25
context-diet
Optimize Claude Code context window usage. Identify what to keep in context vs fetch on-demand. Use when context is bloated, responses are slow, hitting token limits, or want to slim down context.
jamesjlundin
data-ai
llm-ai
25
book-sft-pipeline
End-to-end system for creating supervised fine-tuning datasets from books and training style-transfer models. Covers text extraction, intelligent segmentation, synthetic instruction generation, Tinker-compatible output, LoRA training, and validation.
muratcankoylan
data-ai
llm-ai
25
langchain-use
LangChain 1.0 ไฝฟ็จๆๅใๆไพ AgentใToolใMemoryใMiddleware ็ญๆ ธๅฟๆฆๅฟต็ๅฟซ้ๅ่ใๅฝ็จๆท้่ฆๅๅปบ AI Agentใ้ๆ LangChainใๆ่งฃๅณ LangChain ็ธๅ ณ้ฎ้ขๆถๆฟๆดปใ
NanmiCoder
data-ai
llm-ai
25
designprompt
AI้ฉฑๅจ็่ฎพ่ฎก็ณป็ปๆๅปบๅจใๅบไบ้กน็ฎ็นๅพๆบ่ฝๆจ่ๆๅ้็่ฎพ่ฎก้ฃๆ ผ๏ผไป30+ไธไธ่ฎพ่ฎก็ณป็ปไธญ้ๆฉ๏ผ๏ผๆไฝฟ็จ็จๆทๆๅฎ็้ฃๆ ผใ่ชๅจๅบ็จๅฎๆด็่ฎพ่ฎก็ณป็ป่ง่๏ผ้ข่ฒใๅญไฝใ็ปไปถใๅจๆ็ญ๏ผๆฅๅฎ็ฐ็้ขใ
ttmouse
data-ai
llm-ai
25
context-compression
Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-per-request.
muratcankoylan
data-ai
llm-ai
24
data-scientist
Expert data scientist specializing in statistical analysis, machine learning, and business insights. Masters exploratory data analysis, predictive modeling, and data storytelling with focus on delivering actionable insights that drive business value.
zenobi-us
data-ai