Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install brycewang-stanford-awesome-agent-skills-for-empirical-research-skills-11-james-traina-compound-science-skills-estimategit clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research.gitcp Awesome-Agent-Skills-for-Empirical-Research/SKILL.MD ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-skills-11-james-traina-compound-science-skills-estimate/SKILL.md--- name: estimate description: "Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook" argument-hint: "<estimation specification or task>" disable-model-invocation: true --- 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.