Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations, portfolio risk metrics) by implementing C extensions for Python.
Install
npx skills add benchflow-ai/skillsbench --skill portfolio-optimizationnpx skills add benchflow-ai/skillsbench --skill portfolio-optimization -a claude-code -gnpx skills add benchflow-ai/skillsbench --skill portfolio-optimization -a codex -ggemini skills install https://github.com/benchflow-ai/skillsbench.git --path registry/terminal_bench_2.0/letta_skills_batch/terminal_bench_2_0_portfolio-optimization/environment/skills/portfolio-optimizationgh skill install benchflow-ai/skillsbench portfolio-optimizationgit clone --depth 1 https://github.com/benchflow-ai/skillsbench /tmp/benchflow-ai__skillsbench
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/benchflow-ai__skillsbench/registry/terminal_bench_2.0/letta_skills_batch/terminal_bench_2_0_portfolio-optimization/environment/skills/portfolio-optimization ~/.claude/skills/portfolio-optimization # Claude Code
cp -R /tmp/benchflow-ai__skillsbench/registry/terminal_bench_2.0/letta_skills_batch/terminal_bench_2_0_portfolio-optimization/environment/skills/portfolio-optimization ~/.agents/skills/portfolio-optimization # Codex, Cursor, Gemini CLI, Copilot, OpenCode