Processes and analyzes data with resident-kernel engines (DuckDB, Polars) and one-shot tools. Use for CSV/parquet/JSON analysis, group-by/join/aggregation, time series, distributions, cleaning, or plotting a dataset.
Data Scientist: Hybrid Engine Data Processing Answer data questions through the cheapest engine and surface that can prove the answer, and decide where the computation should live before touching the data. Execution surfaces: resident kernel first A persistent REPL/eval kernel (many harnesses expose one for JavaScript and Python) is the default surface. Reason: each one shot process pays roughly a second of spawn plus import overhead and re scans the input file, while a resident connection…
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/data-scientist · pinned to the source commit
# Run from your project root
git clone https://github.com/code-yeongyu/oh-my-openagent.git .skillboard-tmp
git -C .skillboard-tmp checkout 69e37f76baf3651170b61bf85ddad68142c35724
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/packages/shared-skills/skills/data-scientist" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/code-yeongyu/oh-my-openagent.git .skillboard-tmp
git -C .skillboard-tmp checkout 69e37f76baf3651170b61bf85ddad68142c35724
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/packages/shared-skills/skills/data-scientist" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/data-scientist
Scanner static-checks@0.1.0 · commit 69e37f76baf3. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
Uses encoding/eval patterns that can hide executable content.
Evidence: [redacted]· fingerprint 1bbd174404efbce9