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Presets

Presets are named combinations of an overlay + snippets for one-command setup.

./sync.sh --preset llm-project

Available Presets

Preset Overlay Snippets
agentic-ai llm-eng agentic-ai, prompt-engineering, rag, mlops, responsible-ai
cv-project ds-ml cv, mlops
data-platform data-eng streaming-ml, mlops
distributed-llm ds-ml llm-finetuning, distributed-training, pytorch, mlops
edge-deploy ds-ml edge-inference, pytorch, mlops
full-stack-ai llm-eng llm-finetuning, rag, mlops, responsible-ai
graph-ml-project ds-ml graph-ml, evaluation-framework, mlops
jax-research research jax, distributed-training, evaluation-framework
labeling-project ds-ml data-labeling, synthetic-data, evaluation-framework, responsible-ai
llm-project ds-ml llm-finetuning, rag, mlops, responsible-ai
nlp-project ds-ml nlp-general, chinese-nlp, evaluation-framework, mlops
recsys-project ds-ml ctr-prediction, tabular-ml, mlops
research-llm research llm-finetuning, rag, synthetic-data, responsible-ai
tabular-project ds-ml tabular-ml, mlops
ts-forecast ds-ml time-series, mlops
vlm-project ds-ml vlm, cv, audio-speech, llm-finetuning, evaluation-framework

Remote Rules (Zero-Install)

Paste a URL directly into your AI IDE — no git clone, pip install, or any setup needed.

Each URL returns core.md + overlay + all snippets compiled into a single plain-text file, ready for Cursor, Windsurf, or any IDE that accepts a remote rules URL.

How to use

Settings → Rules for AI → Add Rule → paste URL

https://edwarddev0723.github.io/ds-agent-rules/r/<preset>.txt

Settings → AI Rules → Remote URL → paste URL

https://edwarddev0723.github.io/ds-agent-rules/r/<preset>.txt

Fetch the raw text and copy into your rules config:

curl https://edwarddev0723.github.io/ds-agent-rules/r/llm-project.txt

Available Remote URLs

Preset Remote URL
agentic-ai https://edwarddev0723.github.io/ds-agent-rules/r/agentic-ai.txt
cv-project https://edwarddev0723.github.io/ds-agent-rules/r/cv-project.txt
data-platform https://edwarddev0723.github.io/ds-agent-rules/r/data-platform.txt
distributed-llm https://edwarddev0723.github.io/ds-agent-rules/r/distributed-llm.txt
edge-deploy https://edwarddev0723.github.io/ds-agent-rules/r/edge-deploy.txt
full-stack-ai https://edwarddev0723.github.io/ds-agent-rules/r/full-stack-ai.txt
graph-ml-project https://edwarddev0723.github.io/ds-agent-rules/r/graph-ml-project.txt
jax-research https://edwarddev0723.github.io/ds-agent-rules/r/jax-research.txt
labeling-project https://edwarddev0723.github.io/ds-agent-rules/r/labeling-project.txt
llm-project https://edwarddev0723.github.io/ds-agent-rules/r/llm-project.txt
nlp-project https://edwarddev0723.github.io/ds-agent-rules/r/nlp-project.txt
recsys-project https://edwarddev0723.github.io/ds-agent-rules/r/recsys-project.txt
research-llm https://edwarddev0723.github.io/ds-agent-rules/r/research-llm.txt
tabular-project https://edwarddev0723.github.io/ds-agent-rules/r/tabular-project.txt
ts-forecast https://edwarddev0723.github.io/ds-agent-rules/r/ts-forecast.txt
vlm-project https://edwarddev0723.github.io/ds-agent-rules/r/vlm-project.txt