Amazon-Skills
Automates critical Amazon seller workflows—keyword research, competitor analysis, listing optimization—reducing manual effort and improving discoverability w…
Free AI agent skills for Amazon sellers— keyword research, competitor analysis, listing audit & more. Works with OpenClaw, Claude Code, Cursor, Windsurf, Codex and any agent that supports the Skills format.
- Analyze competitor Amazon listings to identify pricing gaps and feature opportunities
- Audit your product listings for keyword optimization and conversion improvements
- Research high-volume keywords to target in Amazon product titles and descriptions
Automates critical Amazon seller workflows—keyword research, competitor analysis, listing optimization—reducing manual effort and improving discoverability without requiring specialized marketplace expertise or external tools.
E-commerce operations teams and consultants managing Amazon seller accounts seeking to streamline listing performance and competitive positioning.
https://github.com/nexscope-ai/Amazon-Skills
By nexscope-ai
How to Get It
claude plugins install nexscope-ai/Amazon-Skills
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me analyze competitor Amazon listings to identify pricing gaps and feature opportunities
Trust Signals Auto-scanned
Community Pulse Emerging
Discussed on Hacker News
- Amazon rejects AI2’s Alexa skill voice-search engine. Will it build one? — Hacker News · 3 pts
- A list of best tutorials to learn amazon alexa skills development — Hacker News · 1 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 431 GitHub stars; contributors unknown; last commit -1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 431 GitHub stars; contributors unknown; last commit -1d ago; license MIT.