Screened · automated checks passed

amazon-product-research

from nexscope-ai/Amazon-Skills · ★ 400 on GitHub · found by our crawler 2026-07-07

What the author says it does

Comprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy, and go-to-market planning. Use when the user asks about researching a product to sell, validating product ideas, product opportunity analysis, market research for Amazon, competition analysis, profit potential, should I sell this product, product viability, or any general product research questions.

Quoted from the skill's own SKILL.md trigger description — this is what tells Claude when to activate it. Not yet verified by us.

Automated screening

100/100 validator score

Scored by the same rules as our free SKILL.md validator: trigger description quality, body substance, structure. Automated — a human bench test is the next step in the pipeline.

Install (unverified — review first)

git clone https://github.com/nexscope-ai/Amazon-Skills
# skill lives at: amazon-product-research/SKILL.md

SkillProof status

This skill is in our test queue. We install every skill in a clean environment, run a trigger battery and score output against a baseline before it earns a catalog page — the full protocol is public. Until then, treat it like any unreviewed dependency: read the SKILL.md and any scripts before installing.

Already tested in Productivity & Workflow

  • Fetch URL As Markdown ★ 10.0/10 Local trafilatura-first URL-to-Markdown fetcher with a clean exit-code contract for when to fall back to Exa.
  • Refresh Context Map ★ 10.0/10 Rebuilds the AIDEV-anchor/AGENTS.md/ADR manifest that powers claude-leverage's PreToolUse context hook.
  • Video Vision ★ 10.0/10 Local ffmpeg+Whisper pipeline that lets Claude actually watch and transcribe video files
  • YT Digest ★ 10.0/10 Turns a YouTube URL into a timestamped, screenshotted markdown research note via real yt-dlp + ffmpeg.

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