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Data & AI

Machine learning, LLMs, and data processing.

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llm-ai

sim-to-real

Provides guidelines and principles for bridging the gap between simulated robotics environments and real-world hardware deployment in Physical AI.

uneezaismail

data-ai

open

llm-ai

layer-06-api

Expert knowledge for API Layer modeling in Documentation Robotics

tinkermonkey

data-ai

open

llm-ai

CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.

tianzecn

data-ai

open

llm-ai

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

matheusallvarenga

data-ai

open

llm-ai

your-skill-name

Brief description of what this skill does (1-2 sentences). Include key triggering words that help agents recognize when to use this skill.

HelloWorldSungin

data-ai

open

llm-ai

pr-reviewer

Autonomous AI-powered pull request reviewer with multi-agent analysis and comprehensive feedback

Lordjiggy

data-ai

open

machine-learning

scikit-learn

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

hxk622

data-ai

open

llm-ai

pinecone-vector

Pinecone vector database for similarity search and RAG

oimiragieo

data-ai

open

llm-ai

gemini

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.

iamladi

data-ai

open

llm-ai

creating-mcp-servers

Guide for creating and integrating MCP (Model Context Protocol) servers with Claude Code. Use when building external tool integrations, connecting to databases, creating custom capabilities, or adding API wrappers. Covers transports, OAuth, configuration, and troubleshooting.

hgeldenhuys

data-ai

open

llm-ai

pydantic-ai-agent-builder

Expert guidance for building AI agents with Pydantic AI framework. Use when creating multi-agent systems, AI orchestration workflows, or structured LLM applications with type safety and validation.

Krosebrook

data-ai

open

llm-ai

orchestrator

Activate at session start when you are the primary Claude instance. Establishes orchestrator role with delegation protocols, subagent launch templates, token efficiency rules, and parallel safety constraints. You orchestrate; subagents implement.

rbergman

data-ai

open

llm-ai

gemini-vision

Guide for implementing Google Gemini API image understanding - analyze images with captioning, classification, visual QA, object detection, segmentation, and multi-image comparison. Use when analyzing images, answering visual questions, detecting objects, or processing documents with vision.

AIA-11-HN-MIB

data-ai

open

llm-ai

security-practices

Secure coding with Claude Code - vulnerability prevention, secrets, security review

hgeldenhuys

data-ai

open

llm-ai

hello-world

A simple greeting skill to test the ipsum marketplace

andreamk

data-ai

open

llm-ai

skill-creator

创建有效技能的指南。当用户想要创建新技能（或更新现有技能）来扩展Claude在专门知识、工作流程或工具集成方面的能力时，应该使用此技能。

evanfang0054

data-ai

open

llm-ai

package-validator

SEMO 패키지 구조 및 Sub-Agent 최적화 규칙 검증. Use when (1) Agent/Skill 추가/수정/삭제 후 검증, (2) CLAUDE.md 업데이트 후 일관성 확인, (3) 버저닝 전 품질 게이트, (4) Sub-Agent 최적화 규칙 준수 감사.

semicolon-devteam

data-ai

open

llm-ai

rust-agent-handoff

Handoff protocol for Rust multi-agent development system. Use when working as rust-architect, rust-developer, rust-testing-engineer, rust-performance-engineer, rust-security-maintenance, rust-code-reviewer, rust-cicd-devops, or rust-debugger. ALWAYS read on agent startup.

bug-ops

data-ai

open

llm-ai

synapse-runtime-context-api

Explains how to use Synapse RuntimeContext API. Use when the user asks about "RuntimeContext", "ctx.", "logging", "progress tracking", "set_progress", "set_metrics", "log_message", "BaseStepContext", "TrainContext", "ExportContext", "UploadContext", "InferenceContext", "AddTaskDataContext", or needs help with synapse plugin context and logging.

datamaker-kr

data-ai

open

llm-ai

load-skill

Load, activate, and optionally install an AI skill from a .skill file. Use this skill when the user wants to load, activate, or use a skill file. The user can invoke this skill with slash command `/load-skill [ --install | -i ] SKILLFILE`, where SKILLFILE is the path to a .skill file.