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Get Started Free →Amazon Product Research & Seller Analytics
- Required: `APICLAW_API_KEY`
4 of 23 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 4 comparable cases; this report requires 8.
The instructions your model reads when the skill loads.
AI-powered Amazon product research. From market discovery to daily operations.
Language rule: Always respond in the user's language. If the user asks in Chinese, reply in Chinese. If in English, reply in English. The language of this skill document does not affect output language. All API calls go through
scripts/apiclaw.py— one script, 5 endpoints, built-in error handling.
APICLAW_API_KEYhttps://api.apiclaw.ioexport APICLAW_API_KEY='hms_live_xxxxxx'
config.json in the skill root directory if the env var is not set.| File | When to Load |
|---|---|
SKILL.md (this file) | Start here — covers 80% of tasks |
scripts/apiclaw.py | Execute for all API calls (do NOT read into context) |
references/reference.md | Need exact field names or filter parameter details |
references/scenarios-composite.md | Comprehensive recommendations (2.10) or Chinese seller cases (3.4) |
references/scenarios-eval.md | Product evaluation, risk assessment, review analysis (4.x) |
references/scenarios-pricing.md | Pricing strategy, profit estimation, listing reference (5.x) |
references/scenarios-ops.md | Market monitoring, competitor tracking, anomaly alerts (6.x) |
references/scenarios-expand.md | Product expansion, trends, discontinuation decisions (7.x) |
references/scenarios-listing.md | Listing writing, optimization, content creation (8.x) |
Don't guess field names — if uncertain, load reference.md first.
| Task Type | Mode | Behavior |
test cases passed with the skill
Published skills whose descriptions closely match this one, with their headline benchmark lift.
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