Measure porosity, pore size/shape, lattice period and ordering (psi6, Voronoi coordination, radial g(r) and orientational correlation length) from a top-view SEM image of a porous film such as anodic aluminium oxide (AAO). You (the agent) read the image to calibrate and decide what to crop; a Python core does the heavy morphometry and flags results that contradict physics. Trigger when given a pore/membrane/AAO SEM micrograph and asked for porosity, pore diameter, interpore distance, or ordering. See "When to invoke".
How to install pore-analysis?
lexfrei/ccc/pore-analysis
$npx -y skills add lexfrei/ccc --skill pore-analysisInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/lexfrei/ccc" --skill "lexfrei/ccc/pore-analysis"` 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/lexfrei/ccc" that are relevant to the current task. Run `npx skills add "https://github.com/lexfrei/ccc"` and select the relevant skills, then follow their instructions.
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