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Data & AI

Machine learning, LLMs, and data processing.

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llm-ai

audit-trails-for-agents

Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging

AmnadTaowsoam

data-ai

open

llm-ai

extraction-design

Systematic AI extraction prompt design expert with Socratic methodology

darantrute

data-ai

open

llm-ai

canifi-skill-generator

Self-evolving skill that enables Canifi to create, install, and manage new skills autonomously

Andrejones92

data-ai

open

llm-ai

digest

Extract insights from transcripts into actionable artifact files.

thekevinscott

data-ai

open

llm-ai

videocut

环境准备。安装依赖、下载模型。触发词：安装、环境准备、初始化

0xFANGO

data-ai

open

llm-ai

Multi-agent architectures with LangGraph. Use when building systems with multiple collaborating agents, implementing supervisor or swarm patterns, creating hierarchical agent workflows, or designing agent handoff mechanisms. Covers langgraph-supervisor, langgraph-swarm, agent-as-tool patterns, and context engineering for multi-agent systems.

rozwer

data-ai

open

llm-ai

google-chat

Enables Claude to send messages, manage spaces, and handle Google Chat communications

Andrejones92

data-ai

open

llm-ai

hello-world

A simple example skill that demonstrates Claude Code skill structure

Peterbuelund

data-ai

open

llm-ai

context-engineering

This skill should be used when designing context management, implementing tiered fidelity, reducing token waste, applying Four Laws patterns, creating "NOT PASSED" sections, optimizing agent context, or debugging context-related issues. Provides SOTA patterns for context-efficient multi-agent systems achieving 60-80% token reduction.

abossenbroek

data-ai

open

machine-learning

ml-engineer

Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring.

404kidwiz

data-ai

open

llm-ai

new-agent

Create a new backend agent for the Claude Assistant Platform. Use when adding a new specialized agent, scaffolding an agent, or when the user says "create agent", "add agent", "new agent", or "scaffold agent".

baglett

data-ai

open

llm-ai

rag-pipeline

Build production RAG (Retrieval-Augmented Generation) pipelines with LangChain and Qdrant. Use when users ask to implement semantic search, document Q&A, build RAG systems, create vector search, implement HyDE, CRAG, or Agentic RAG patterns.

SyedMuhammadSarmad

data-ai

open

llm-ai

get-history

Access raw conversation history from Claude Code session storage for analysis

cowwoc

data-ai

open

llm-ai

post-compact-context-reload

Full context reload. Use after /clear, after compaction, or at session start. Loads conversation history, indexes docs, maps code, scans configs, checks git. Gets you immediately helpful.

Roger-Parkinson-EHP

data-ai

open

llm-ai

api-reference

PDF-RAG API reference. REQUIRED after any failed curl/jq to localhost:8000 (404, null, jq error). Also use when uncertain about endpoint path or response shape.

bryanjowers

data-ai

open

llm-ai

ai-led-onboarding

生成AIが人間に対して行う作業開始時オンボーディング。AIが"説明係"ではなく"進行役"として、探索→仮説→検証→要約→未確定の明示を回し、人間が最小スキーマ（因果・境界・不変条件・壊れ方・観測）を短時間で再構築できる状態に導く。トリガー条件: - 新しいタスクやコード変更に着手する前（「この機能を修正して」「このバグを直して」） - 未知のコードベースを理解する必要がある時 - 「オンボーディングして」「作業開始の準備をして」「コードを理解したい」 - 複雑なタスクを始める前の文脈理解が必要な時 - 「作戦ブリーフを作成して」「安全に始められるようにして」

CAPHTECH

data-ai

open

llm-ai

read-transcript

Search and retrieve context from previous Ralph iteration transcripts. Use when you need detailed context about what happened in a previous iteration beyond what's in progress.txt. Triggers on: read transcript, previous iteration, what happened in, search transcripts.

thepriceisright

data-ai

open

llm-ai

spawn-markdown-writer

비정형 마크다운 작성을 markdown-writer-agent에 위임

Zeliper

data-ai

open

llm-ai

providers

Use when integrating multiple LLM providers. Keep provider-specific code isolated behind a small interface.

rozwer

data-ai

open

llm-aimarketplace

agent-coordination

Use when coordinating multiple AI agents for parallel work. Triggers: "multi-agent", "parallel agents", "agent coordination", "QuantumDAG", "conflict-free". NOT for: Single-agent operations or basic jj commands.

pagerguild

data-ai

open

machine-learning

reward

Reward model training for RLHF pipelines. Covers RewardTrainer, preference dataset preparation, sequence classification heads, and reward scaling for stable reinforcement learning. Includes thinking quality scoring patterns.

atrawog

data-ai

open

llm-ai

rag-pipeline-builder

Complete RAG (Retrieval-Augmented Generation) pipeline implementation with document ingestion, vector storage, semantic search, and response generation. Supports FastAPI backends with OpenAI and Qdrant. LangChain-free architecture.