llm-ai
0
audit-trails-for-agents
Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging
AmnadTaowsoam
data-ai
sorting
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llm-ai
0
extraction-design
Systematic AI extraction prompt design expert with Socratic methodology
darantrute
data-ai
llm-ai
0
canifi-skill-generator
Self-evolving skill that enables Canifi to create, install, and manage new skills autonomously
Andrejones92
data-ai
llm-ai
0
langgraph-multi-agent
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
llm-ai
0
google-chat
Enables Claude to send messages, manage spaces, and handle Google Chat communications
Andrejones92
data-ai
llm-ai
0
hello-world
A simple example skill that demonstrates Claude Code skill structure
Peterbuelund
data-ai
llm-ai
0
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
machine-learning
0
ml-engineer
Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring.
404kidwiz
data-ai
llm-ai
0
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
llm-ai
0
get-history
Access raw conversation history from Claude Code session storage for analysis
cowwoc
data-ai
llm-ai
0
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
llm-ai
0
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
llm-ai
0
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
llm-ai
0
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
llm-aimarketplace
0
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
llm-ai
0
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.
MrOwaisAbdullah
data-ai
llm-ai
0
minion-models
Manage Ollama models for minions. Pull new models, list available ones, switch presets, check disk usage. Use when setting up or changing models.
felixmanojh
data-ai
llm-ai
0
implementation-context
実装開始時のコンテキストセットアップ。関連ナレッジを検索し、効率的な実装開始を支援。新規実装タスク開始時に自動トリガーまたは明示的に呼び出し可能。
Umisyo
data-ai