Awesome-Agent-Skills-for-Empirical-Research estimate

Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook

install

source · Clone the upstream repo

git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/11-James-Traina-compound-science/skills/estimate" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-estimate && rm -rf "$T"

manifest: skills/11-James-Traina-compound-science/skills/estimate/SKILL.md

source content

This command routes to

/workflows:work

with estimation pipeline context.

Before starting, load the

empirical-playbook

skill and its

references/estimation-pipeline.md

for the phased estimation workflow (data validation → identification → estimation → standard errors → robustness → results).

Now run

/workflows:work

with the estimation pipeline framing. Follow the phase gates in

estimation-pipeline.md

— do not proceed to the next phase until the current phase's gate conditions are met.