skillboardUpdated every 6 hours
skillboardTransform research descriptions into well-structured implementation plans following project conventions
692e9faCreate an Implementation Plan for a Research Task Pipeline mode: This command operates fully autonomously. All decisions are made automatically. Introduction Transform research descriptions, estimation problems, or methodological improvements into well structured plan files that follow project conventions and best practices. This command auto selects the appropriate detail level based on task complexity. Research Description <feature description $ARGUMENTS </feature description If the research…
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/workflows-plan · pinned to the source commit
# Run from your project root
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/11-James-Traina-compound-science/skills/workflows-plan" ".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/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/11-James-Traina-compound-science/skills/workflows-plan" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/workflows-plan
Scanner static-checks@0.1.0 · commit 692e9fa3fea4. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
Declares shell/exec-level tools that grant wide host access.
Evidence: Bash· fingerprint d1e9567da9a8a4b0