Who it is forA content lead publishing a regular series of posts or lessons who notices every piece opens and closes the same way.
The problemStructural convergence makes a series detectable and flat, and it is hard to see from inside a single draft.
The outcomeA side-by-side view of the structural scan results for recent pieces, with a note on which shape each new draft should take.
What you need first
- Claude Code installed, since the passes are packaged as Claude Code Skills
- git and a terminal to clone the repo and run install.sh
- Python 3 to run the scanners
- A draft file in plain text or Markdown to work on
Steps
git clone https://github.com/NulightJens/humanizer-stack.gitcd humanizer-stackpython3 skills/structural-humanizer/scripts/structural_scan.py post-1.md(inferred, check the README)- Run the same command on the last three published pieces and compare the results, focusing on audit 6, shape convergence.
- In Claude Code, send:
run the structural pass on draft.md, then vary one or two interventions from the earlier pieces.
Prompt for your agent
Using the humanizer-stack repo at <repo path>, run structural_scan.py on each file in <series folder> and compare the results for audit 6, shape convergence. Output a short table of the shared patterns and one suggested shape for <new draft file> that differs from them. Verify that the suggestion changes at least one structural choice and does not add a new fixed template.
Caveat. The scanner only flags grep-able structural tells, so judging whether a whole series shares one skeleton still needs a human reader.
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