differentiationlisted
Install: claude install-skill zaidadaqqa/amazon-opportunity-research-skills
# Differentiation
Assess whether this candidate has a genuine, defensible advantage over
competitors — grounded strictly in evidence already in the Evidence Ledger.
Never invent a moat claim without a citation: per
`references/differentiation.md` §2, the engine forcibly collapses any
ungrounded moat claim to `LOW_COPYCAT_RESISTANCE` with `moat_categories=[]`
regardless of what was submitted, so an ungrounded claim only wastes a turn
— it never survives into the persisted result.
## When to use this
Opportunity is in state `VOC_ANALYSIS` (after `reddit-voc` or automated
`voc-submit` completed).
## Steps
1. **Get the prompt.**
```
hunt differentiation-prepare <opportunity_id>
```
This requires `VOC_ANALYSIS` state and prints the system+user prompt.
2. **Build the `DifferentiationAssessment` JSON, grounded only in real
evidence_ids.** Draw only on evidence already in the Evidence Ledger:
- VOC findings (from `voc-submit` or `voc-add`) — a repeated,
solvable pain point competitors haven't addressed is real
differentiation evidence.
- Competitor autopsy notes (`competition-analysis` output) — e.g.
genuinely fragmented, low-quality competition with a specific
addressable gap.
- Browser research findings (`hunt browser-evidence-add` output, if
collected) — e.g. a verified pattern in what competitors' own listings
/pages claim vs. what they lack.
- Every moat claim in the JSON must cite the `evidence_id`(s) it is
act