by001tmf· 21 skills
A design campaign only learns when lab outcomes are joined back to the in-silico predictions that produced them. This skill is the wet-lab feedback loop closer: it ingests lab readouts (Adaptyv batch CSVs, internal ELISA plate-reader output, BLI/Octet kinetics, expression QC), joins them to the…
$npx -y skills add 001tmf/blatant-why --skill by-experiment-resultsInstalls into the current project.
Run `npx skills use "https://github.com/001tmf/blatant-why" --skill "001tmf/blatant-why/by-experiment-results"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/001tmf/blatant-why" that are relevant to the current task. Run `npx skills add "https://github.com/001tmf/blatant-why"` and select the relevant skills, then follow their instructions.