Expand init to capture positioning, conversion, and proof context#315
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Expand init.md so PRODUCT.md captures audience splits, positioning, and brand-register conversion/proof context before design work starts. Co-authored-by: Cursor <cursoragent@cursor.com>
…tions. Sparse repos were letting the model treat weak guesses as settled answers; Step 3 now asks unless the codebase provides strong, explicit evidence. Co-authored-by: Cursor <cursoragent@cursor.com>
Ask positioning in round 1, actively collect proof assets, and give Proof & conversion a plain bullet skeleton so generated PRODUCT.md stays lean. Co-authored-by: Cursor <cursoragent@cursor.com>
…ess runs Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
…ons, prose Settle split register before brand-only questions, require standalone emotions and confirmed secondary audiences, forbid compound options, and keep PRODUCT.md bold minimal. Co-authored-by: Cursor <cursoragent@cursor.com>
…jargon Co-authored-by: Cursor <cursoragent@cursor.com>
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When no structured question tool exists, init should ask in chat with lettered options and wait for each answer instead of dumping a list. Co-authored-by: Cursor <cursoragent@cursor.com>
…ection Purpose and success are now separate questions, and docs-stated purpose is framed as a hypothesis below the strong-evidence bar rather than a competing always-ask rule. The PRODUCT.md template now tells product register to omit the Conversion & proof section including its heading. Co-authored-by: Cursor <cursoragent@cursor.com>
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Ask what visitors must believe in plain words; map the answer to the template belief ladder in a parenthetical instead of leading with the term. Co-authored-by: Cursor <cursoragent@cursor.com>
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Motivation
Init should pull more strategic context out of the repo before writing
PRODUCT.md. Downstream commands (craft,shape,critique,clarify) need positioning, conversion intent, and proof to work from, not just audience and personality guessed from a crawl.Brand register: interview tone (3 examples)
Questions stop quoting init.md vocabulary and read more like a magazine editor profiling the brand.
main)PRODUCT.md: what changed
Examples from harness runs on two fixture projects: a Tokyo flower atelier marketing site (brand register) and a small-team HR ops app (product register).
Brand register (flower atelier marketing site)
Before (
main): label-heavy Users; conversion intent folded into Product Purpose; no Positioning or Conversion & proof sections.After (this branch): new Positioning and Conversion & proof sections; Users and personality in prose; proof paths wired in.
Product register (HR ops app for small teams)
Before (
main): solid ops brief, but no positioning line; users/workflow still read as labeled blocks.After (this branch): adds positioning; same facts, cleaner prose. No conversion block (correct for product register).
Product interviews stay plain and ops-focused. No magazine-editor voice, no conversion/proof round.
Other init.md fixes (from harness)
PRODUCT.mdprose: bold sparingly, not label lead-ins on every lineNote
Low Risk
Documentation-only change to the init skill reference; no runtime code, auth, or data paths affected.
Overview
Init guidance now pulls richer strategic context into
PRODUCT.mdso downstream commands (craft,shape,critique,clarify) can rely on explicit positioning and conversion intent, not just crawl-inferred audience and tone.The Step 3 interview is tightened: ask only where the repo lacks strong evidence; one topic per question (no compound MCQs); settle register before brand-only rounds; use plain, user-facing language (magazine-editor tone for marketing sites). New question areas cover positioning (one-line strategic claim), expanded users & purpose (confirm README hypotheses, primary/secondary audiences, surface vs product users), and conversion & proof for the brand register (CTAs, memorable line, belief ladder, proof assets under
.impeccable/assets/proof/).Step 4’s
PRODUCT.mdtemplate adds## Positioningand## Conversion & proof(omitted entirely for product register), tightens Users prose, and requires writing only confirmed answers—no padding from crawl or option text—with sparing bold instead of label-heavy blocks.Reviewed by Cursor Bugbot for commit c7e44d8. Bugbot is set up for automated code reviews on this repo. Configure here.