llm-ai
0
output-styles
Understanding output styles in Claude Code (deprecated feature). Use when user asks about customizing Claude's behavior, output styles, or explanatory/learning modes.
reggiechan74
data-ai
sorting
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machine-learning
0
foundation-models
Apple Foundation Models framework for on-device AI, @Generable macro, guided generation, tool calling, and streaming. Use when user asks about on-device AI, Apple Intelligence, Foundation Models, @Generable, LLM, or local machine learning.
bluewaves-creations
data-ai
llm-ai
0
model-router
Build cost-optimized chat applications with Azure OpenAI Model Router that intelligently routes queries to the most appropriate model based on complexity, achieving up to 60% cost savings.
samelhousseini
data-ai
llm-ai
0
deep-research
Deep research with sequential thinking and parallel agents
merllinsbeard
data-ai
llm-ai
0
ralph
Set up Ralph for autonomous feature development. Use when starting a new feature that Ralph will implement. Triggers on: ralph, set up ralph, start ralph, new ralph feature, ralph setup. Chats through the feature idea, creates tasks with dependencies, and sets up everything for Ralph to run.
davzucky
data-ai
llm-ai
0
catmonitor-subagents
Check status of running subagents including token usage and context limits
cowwoc
data-ai
llm-ai
0
inclusive-names
Generate culturally diverse names for examples, mock data, and test fixtures. Includes edge-case names that catch bugs.
hereinthehive
data-ai
llm-ai
0
langgraph-v1
Use when writing or refactoring Python code for LangGraph v1.x + LangChain v1: Graph API + Functional API import paths, checkpoint/store usage, and migrations off deprecated prebuilts (create_react_agent -> langchain.agents.create_agent).
westoncb
data-ai
llm-ai
0
moai-library-toon
TOON Format Specialist - YAML-based token-efficient agent/workflow definitions inspired by BMAD Method patterns
rdmptv
data-ai
llm-ai
0
skill-creator
Create new Agent Skills interactively or from templates. Use when user wants to create, generate, scaffold, or build a new skill, or mentions creating skills, writing skills, skill templates, skill development.
nibzard
data-ai
llm-ai
0
create-skill
Helper agent to scaffold new Gemini CLI skills. Use this when the user wants to "make a new skill", "add a skill", or "teach you a new capability" via the skill system.
mix060514
data-ai
machine-learning
0
orchestrate
Multi-Model Orchestration - Guide for orchestrating multi-model agents
zhsks311
data-ai
machine-learning
0
ai-llm-development
Apply modern AI/LLM development best practices: staying current on models, prompt/context engineering, architecture patterns, stack decisions, evaluation, and production deployment. Use when building AI features, selecting models, writing prompts, reviewing LLM code, or discussing AI architecture.
pixelatedempathy
data-ai
llm-ai
0
bedrock-inference
Amazon Bedrock Runtime API for model inference including Claude, Nova, Titan, and third-party models. Covers invoke-model, converse API, streaming responses, token counting, async invocation, and guardrails. Use when invoking foundation models, building conversational AI, streaming model responses, optimizing token usage, or implementing runtime guardrails.
adaptationio
data-ai
machine-learning
0
training-patterns
Templates and patterns for common ML training scenarios including text classification, text generation, fine-tuning, and PEFT/LoRA. Provides ready-to-use training configurations, dataset preparation scripts, and complete training pipelines. Use when building ML training pipelines, fine-tuning models, implementing classification or generation tasks, setting up PEFT/LoRA training, or when user mentions model training, fine-tuning, classification, generation, or parameter-efficient tuning.
vanman2024
data-ai
llm-ai
0
unsloth-inference
Deploying fine-tuned models for production inference using native kernel optimization, vLLM, or SGLang. Triggers: inference, serving, vllm, sglang, for_inference, model merging, openai api.
cuba6112
data-ai
machine-learning
0
context-manager
Expert in managing the "Memory" of AI systems. Specializes in Vector Databases (RAG), Short/Long-term memory architectures, and Context Window optimization. Use when designing AI memory systems, optimizing context usage, or implementing conversation history management.
404kidwiz
data-ai
machine-learning
0
tinker-from-docs
Fine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.
neevparikh
data-ai
llm-ai
0
codex-skills-index
Entry point for Codex-discoverable skills used by the Run-Smart AI coach.
nadavyigal
data-ai