Agent Skill
Amazon Competitor Analysis skill
amazon-competitor-analysisnexscope-ai/Amazon-Skillsamazon-competitor-analysis/SKILL.md
Full-spectrum Amazon competitor analysis. Compare listings, pricing, reviews, advertising strategy, and market positioning against direct competitors. Identify weaknesses to exploit and strengths to counter. Use when the user asks about competitor analysis, competitive research, ASIN comparison, pricing analysis, or how to beat competitors on Amazon.
always on
65 tokname + description
once used
924 tokSKILL.md body
bundled files
0
repo stars
786GitHub
Install the Amazon Competitor Analysis skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/nexscope-ai/Amazon-Skills --skill amazon-competitor-analysis
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills.git /tmp/Amazon-Skills mkdir -p ~/.claude/skills cp -R /tmp/Amazon-Skills/amazon-competitor-analysis ~/.claude/skills/amazon-competitor-analysis
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 65 tok |
| When the agent uses it | The SKILL.md instructions | 924 tok |
| Only if opened | No bundled files | — |
Until it is used, amazon-competitor-analysis costs about 21× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 52 skills from nexscope-ai/Amazon-Skills would load 3,081 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Amazon Competitor Analysis 🏆
- Installation
- Usage Examples
- Core Capabilities
- 1. Listing Quality Comparison
- 2. Pricing & Positioning Strategy
- 3. Review Intelligence
- 4. Advertising Visibility Assessment
- How It Works
- Step 1: Competitive Data Collection
- Step 2: Comparative Analysis
- Step 3: Strategic Recommendations
- Output Format
- Integration with Nexscope
- Best Practices
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