Slice Feature

Turn a feature spec's hypothesis into an Exposure Plan — accumulative reveal levels that each test one falsifiable belief

alaimo-labs Updated

File contents

/slice-feature

Generate an Exposure Plan for a feature spec, following the exposure-plans skill.

Input: $ARGUMENTS

Workflow

  1. Resolve the spec. A file path (look in product/specs/ first) or pasted content. If nothing resolvable, ask for the spec.

  2. Resolve the mechanism preference. If the user passed flags or incremental, it's binding. Otherwise the skill recommends one.

  3. Build the plan per the exposure-plans skill: locate or derive the hypothesis (confirm with the user if derived), decompose into sequenced falsifiable beliefs, 1–5 accumulative levels each with belief/audience/duration/validation, mechanism note, parallel validations, open questions. Same language as the spec.

  4. Present and confirm. Show the full plan in the conversation — never ask to save (or save) a plan the user hasn't seen. Walk them through the belief sequence and the levels; adjust until they own it.

  5. Save to product/exposure-plans/{YYYY-MM-DD-HHMM}-{spec-slug}.md (timestamp = creation date; revise in place without renaming) once the user agrees.

alaimo-labs/ai-first-skills/tree/main/afpm/skills/slice-feature commit 43fe754542

Frequently asked questions

npx skillmds@latest add alaimo-labs/slice-feature