Snippets Overview

ds-agent-rules includes 23 domain-specific snippet modules. Mix and match them to build the perfect rule set for your project.

How to use snippets

# Add individual snippets
./sync.sh ds-ml rag mlops pytorch

# Or list them in .ai-rules.yaml
# snippets:
#   - rag
#   - mlops
#   - pytorch

Available Snippets

Snippet	Domain	Recommended Preset
agentic-ai	AI Agents & Tool Use	agentic-ai
audio-speech	ASR / TTS / Audio	—
chinese-nlp	Traditional Chinese NLP	—
ctr-prediction	CTR / Recommendations	recsys-project
cv	Computer Vision	cv-project
data-labeling	Annotation & Active Learning	labeling-project
distributed-training	Multi-GPU/Node	distributed-llm
edge-inference	Mobile / Edge Deployment	edge-deploy
evaluation-framework	Systematic Evaluation	nlp-project
graph-ml	Graph Neural Networks	graph-ml-project
jax	JAX / Flax	jax-research
llm-finetuning	LLM Fine-Tuning (LoRA, RLHF)	llm-project
mlops	MLOps & Deployment	Most presets
nlp-general	General NLP	nlp-project
prompt-engineering	Prompt Design & Versioning	agentic-ai
pytorch	PyTorch	distributed-llm
rag	RAG Pipeline	llm-project
responsible-ai	Responsible AI & Safety	llm-project
streaming-ml	Online Learning & Streaming	data-platform
synthetic-data	Synthetic Data & Privacy	—
tabular-ml	Tabular ML	tabular-project
time-series	Time Series Forecasting	ts-forecast
vlm	Vision-Language Models	vlm-project

Writing Your Own Snippet

See the Contributing Guide for the snippet format specification and quality criteria.