Customer Research
Nexus-JPF/note-companion
When the user wants to conduct, analyze, or synthesize customer research.
Amazon sales volume estimator for sellers and product researchers.
Install Amazon Sales Estimator
$ npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nexscope-ai/Amazon-Skills amazon-sales-estimator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-sales-estimator .claude/skills/amazon-sales-estimator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "amazon-sales-estimator" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-sales-estimator into .claude/skills/amazon-sales-estimator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-sales-estimator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-sales-estimatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nexscope-ai/Amazon-Skills amazon-sales-estimator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/amazon-sales-estimator .agents/skills/amazon-sales-estimator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "amazon-sales-estimator" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-sales-estimator into .agents/skills/amazon-sales-estimator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-sales-estimator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nexscope-ai/Amazon-Skills amazon-sales-estimator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/amazon-sales-estimator .cursor/skills/amazon-sales-estimator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "amazon-sales-estimator" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-sales-estimator into .cursor/skills/amazon-sales-estimator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-sales-estimator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nexscope-ai/Amazon-Skills.git --path amazon-sales-estimator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nexscope-ai/Amazon-Skills amazon-sales-estimator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/amazon-sales-estimator .gemini/skills/amazon-sales-estimator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "amazon-sales-estimator" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-sales-estimator into .gemini/skills/amazon-sales-estimator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-sales-estimator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nexscope-ai/Amazon-Skills amazon-sales-estimatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/amazon-sales-estimator .github/skills/amazon-sales-estimator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "amazon-sales-estimator" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-sales-estimator into .github/skills/amazon-sales-estimator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-sales-estimator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nexscope-ai/Amazon-Skills amazon-sales-estimator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/amazon-sales-estimator .opencode/skills/amazon-sales-estimator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "amazon-sales-estimator" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-sales-estimator into .opencode/skills/amazon-sales-estimator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-sales-estimator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
amazon-sales-estimator- GitHub stars
- 744
- Token cost
- ~2.5k tokens
- SKILL.md length
- 662 words
- Files
- 1
- Skills in repo
- 50
- Repo updated
- First seen
- Licence
- MIT
At a glance
Amazon sales volume estimator for sellers and product researchers.
- Works in 6 steps: Receive input: BSR, Category, Price,… → Look up base sales: Use BSR-to-sales… → Apply category multiplier: Adjust based… → …
- Estimating how many units a product sells per month
- SKILL.md covers Installation, Three Modes, Capabilities and Handling Incomplete Input, plus 6 more sections
- Calls npx; reaches amazon.com
What it does
Amazon Sales Estimator is an agent skill from nexscope-ai/Amazon-Skills. Amazon sales volume estimator for sellers and product researchers. Estimate monthly sales and revenue from BSR (Best Seller Rank), ASIN, or keyword. Three modes: (A) BSR Calculator — input BSR + marketplace + price + category to get instant sales estimate, (B) ASIN Lookup — input ASIN to auto-fetch data and estimate sales, (C) Keyword Market Analysis — input keyword to analyze total market size and competition. Works on 12 Amazon marketplaces. No API key required. Use when: (1) estimating how many units a product…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Market research. The repository describes itself as: 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… The licence is MIT.
When your agent uses it
- Estimating how many units a product sells per month
- Sizing a market
- Niche opportunity
- Analyzing competitor sales performance
Example prompts
- “/amazon-sales-estimator”
Requirements
- Node.js
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Receive input: BSR, Category, Price, Marketplace
- Look up base sales: Use BSR-to-sales reference table for the marketplace
- Apply category multiplier: Adjust based on category (Electronics 1.2x, Clothing 0.8x, etc.)
- Calculate monthly units: Base sales × category multiplier
- Calculate revenue: Monthly units × price
- Output results: Monthly units, daily units, monthly revenue
What it can do on your machine
Read from SKILL.md and the folder at commit 0f3b13f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
amazon.com
Also links to:
github.comnexscope.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Amazon Sales Estimator loads about 2.5k tokens when it runs. Until then it costs about 185 tokens; SKILL.md has 662 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from nexscope-ai/Amazon-Skills at commit 0f3b13f, republished under its MIT licence (© nexscope-ai). 662 words, ~2,542 tokens.
Download SKILL.mdSave it as
.claude/skills/amazon-sales-estimator/SKILL.md (or your agent's skills folder).- name
- amazon-sales-estimator
- description
- Amazon sales volume estimator for sellers and product researchers. Estimate monthly sales and revenue from BSR (Best Seller Rank), ASIN, or keyword. Three modes: (A) BSR Calculator — input BSR + marketplace + price + category to get instant sales estimate, (B) ASIN Lookup — input ASIN to auto-fetch data and estimate sales, (C) Keyword Market Analysis — input keyword to analyze total market size and competition. Works on 12 Amazon marketplaces. No API key required. Use when: (1) estimating how many units a product sells per month, (2) sizing a market or niche opportunity, (3) analyzing competitor sales performance, (4) comparing sales across price points, (5) identifying top sellers vs long-tail distribution.
Amazon Sales Estimator 📊
Estimate monthly sales from BSR, analyze market size, and benchmark competitor performance. No API key — works out of the box.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -gThree Modes
| Mode | When to Use | Input | Output |
|---|---|---|---|
| A — BSR Calculator | Quick estimate from known BSR | BSR + Marketplace + Price + Category | Monthly units, monthly revenue |
| B — ASIN Lookup | Estimate sales for a specific product | ASIN or product URL | Auto-fetch data + sales estimate |
| C — Keyword Market Analysis | Size a niche opportunity | Keyword (+ optional marketplace) | Total market sales, top sellers, price distribution |
Capabilities
- BSR-to-sales conversion: Estimate monthly unit sales from Best Seller Rank using category-specific formulas
- Revenue calculation: Monthly sales × price = estimated monthly revenue
- Market sizing: Aggregate sales across products in a keyword search
- Price band analysis: Distribution of sales across price ranges
- Competition breakdown: Top sellers vs long-tail distribution
- Multi-marketplace: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR
Handling Incomplete Input
If the user's intent is unclear or information is missing, guide them with all options and required inputs upfront:
User says: "Help me estimate Amazon sales" or "I want to check sales"
Agent should respond:
I can help you estimate Amazon sales in 3 ways. Pick one and provide the required info:
A. BSR Calculator — Quick estimate from BSR number
- BSR (required): e.g., 1500
- Category (required): e.g., Home & Kitchen
- Price (required): e.g., $24.99
- Marketplace (optional, default US)
B. ASIN Lookup — Check sales for a specific product
- ASIN or URL (required): e.g., B09V3KXJPB
- Marketplace (optional, default US)
C. Market Analysis — Size a keyword/niche opportunity
- Keyword (required): e.g., "yoga mat"
- Marketplace (optional, default US)
- Filters (optional): price range, min reviews
Example: "Mode A: BSR 1500, Home & Kitchen, $24.99" or "Mode B: B09V3KXJPB"
Mode A — BSR Calculator
Input
| Field | Required | Description | Example |
|---|---|---|---|
| BSR | ✅ | Best Seller Rank number | 1500 |
| Marketplace | ✅ | Amazon site | US, UK, DE, JP... |
| List Price | ✅ | Product price | $24.99 |
| Category | ✅ | Product category | Home & Kitchen |
Usage Examples
Estimate sales for BSR 1500 in Home & Kitchen on Amazon US, price $24.99BSR 500, category Electronics, marketplace DE, price €39.99What's the monthly sales for a product ranked #10,000 in Sports & Outdoors at $15.99?Workflow
- Receive input: BSR, Category, Price, Marketplace
- Look up base sales: Use BSR-to-sales reference table for the marketplace
- Apply category multiplier: Adjust based on category (Electronics 1.2x, Clothing 0.8x, etc.)
- Calculate monthly units: Base sales × category multiplier
- Calculate revenue: Monthly units × price
- Output results: Monthly units, daily units, monthly revenue
Output
# 📊 Sales Estimate
**Input:**
- BSR: #1,500 in Home & Kitchen
- Marketplace: Amazon US
- Price: $24.99
**Results:**
| Metric | Estimate |
|--------|----------|
| **Est. Monthly Units** | ~450 units |
| **Est. Monthly Revenue** | ~$11,246 |
| **Est. Daily Units** | ~15 units |
*Estimate based on BSR-to-sales conversion formula for the selected category and marketplace.*Mode B — ASIN Lookup
Input
| Field | Required | Description | Example |
|---|---|---|---|
| ASIN | ✅ | Amazon product ID or URL | B09V3KXJPB |
| Marketplace | Optional | Defaults to US | UK, DE, JP... |
Usage Examples
Estimate monthly sales for ASIN B09V3KXJPBHow many units does this sell? https://www.amazon.com/dp/B0D72TSM62Get sales estimate for B0CPY1GFVZ on Amazon DEShow full SKILL.md (268 more words)Show less
Workflow
- Fetch product data using
web_fetchon Amazon product page - Extract: Title, Price, BSR, Category, Rating, Reviews
- Apply BSR-to-sales formula for the category and marketplace
- Calculate revenue: Monthly units × Price
Output
# 📊 Sales Estimate: B09V3KXJPB
## Product Info
- **Title:** [Product Title]
- **Price:** $24.99
- **BSR:** #1,500 in Home & Kitchen
- **Rating:** 4.5★ (1,234 reviews)
## Sales Estimate
| Metric | Estimate |
|--------|----------|
| **Est. Monthly Units** | ~450 units |
| **Est. Monthly Revenue** | ~$11,246 |
| **Est. Daily Units** | ~15 units |
## Competitive Context
- Ranks in **top 0.5%** of Home & Kitchen category
- Above average for $20-30 price rangeMode C — Keyword Market Analysis
Input
| Field | Required | Description | Example |
|---|---|---|---|
| Keyword | ✅ | Search term | yoga mat |
| Marketplace | Optional | Amazon site (default: US) | UK, DE, JP... |
| Filters | Optional | Price range, min reviews | $15-$40, 100+ reviews |
Usage Examples
Analyze the market size for "yoga mat" on Amazon USWhat's the total monthly sales for "portable blender" keyword?Size the "dog shirt" market on Amazon US. Show top sellers and price distribution.Workflow
- Search products using
web_searchforsite:amazon.com "{keyword}" - Fetch top 10-20 product pages to get BSR data
- Estimate sales for each product using Mode A formula
- Aggregate total market size
- Analyze price distribution and competition
Output
# 📊 Market Analysis: "yoga mat"
**Marketplace:** Amazon US | **Products Analyzed:** 25
## Market Size
| Metric | Value |
|--------|-------|
| **Est. Total Monthly Units** | ~85,000 units |
| **Est. Total Monthly Revenue** | ~$2.1M |
| **Average Price** | $24.50 |
## Top 5 Sellers
| # | ASIN | Price | BSR | Est. Units/Mo |
|---|------|-------|-----|---------------|
| 1 | B0XX... | $22.99 | #45 | ~8,500 |
| 2 | B0YY... | $29.99 | #78 | ~6,200 |
| 3 | B0ZZ... | $18.99 | #120 | ~4,800 |
| ... | ... | ... | ... | ... |
## Market Concentration
- **Top 3:** 23% of total sales
- **Top 10:** 52% of total sales
- **Long tail:** 48% of total sales
→ **Fragmented market** — opportunity for new entrants
## Price Distribution
| Price Band | % of Sales |
|------------|------------|
| $0 - $20 | 25% |
| $20 - $35 | 55% |
| $35+ | 20% |
**Sweet spot:** $20-$35BSR-to-Sales Reference
Amazon US — Baseline (Home & Kitchen)
| BSR Range | Est. Monthly Sales |
|---|---|
| 1-100 | 3,000 - 10,000+ |
| 100-500 | 1,000 - 3,000 |
| 500-2,000 | 300 - 1,000 |
| 2,000-10,000 | 100 - 300 |
| 10,000-50,000 | 30 - 100 |
| 50,000-100,000 | 10 - 30 |
| 100,000+ | < 10 |
Category Multipliers
| Category | Multiplier |
|---|---|
| Electronics | 1.2x |
| Home & Kitchen | 1.0x |
| Toys | 1.1x |
| Sports & Outdoors | 0.9x |
| Clothing | 0.8x |
| Books | 0.7x |
Marketplace Adjustments
| Marketplace | Factor |
|---|---|
| US | 1.0x |
| JP | 0.6x |
| DE | 0.5x |
| UK | 0.4x |
| CA | 0.3x |
| Others | 0.2x |
Integration with Other Skills
This skill works well when chained with other skills from the Nexscope Amazon-Skills and eCommerce-Skills repositories.
With amazon-keyword-research
npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -gStep 1: "Research keywords for yoga mat"
→ amazon-keyword-research returns keyword list with search volumes
Step 2: "Now analyze the market size for the top keyword"
→ amazon-sales-estimator Mode C sizes the opportunityWith amazon-listing-optimization
npx skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization -gStep 1: "Estimate sales for competitors: B0ABC, B0XYZ"
→ amazon-sales-estimator Mode B provides benchmark data
Step 2: "Create a listing to beat those competitors"
→ amazon-listing-optimization generates optimized copyWith amazon-ppc-campaign
npx skills add nexscope-ai/Amazon-Skills --skill amazon-ppc-campaign -gStep 1: "Estimate my product's monthly sales"
→ amazon-sales-estimator provides revenue baseline
Step 2: "Build PPC campaigns with 30% ACoS target"
→ amazon-ppc-campaign calculates bids based on your revenue dataMore Skills
Browse all available skills:
- Amazon Skills: https://github.com/nexscope-ai/Amazon-Skills
- eCommerce Skills: https://github.com/nexscope-ai/eCommerce-Skills
Limitations
This skill uses publicly available data from Amazon product pages. It cannot access historical BSR data, actual seller sales figures, or PPC conversion metrics. For deeper analytics and historical trends, check out Nexscope — Your AI Assistant for smarter E-commerce decisions.
Built by Nexscope — research, validate, and act on e-commerce opportunities with AI.
© nexscope-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in amazon-sales-estimator of nexscope-ai/Amazon-Skills.
Open the folder on GitHubat commit 0f3b13f
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| Creative Directorsmixs/creative-director-skill | 247 | — | ~5.1k | Automated safety check: Pass | CC-BY-4.0 | |
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| Last 30 Days Trend Researchnexu-io/open-design | 100k | — | ~1.3k | Automated safety check: Pass | MIT | |
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Questions about Amazon Sales Estimator
What does Amazon Sales Estimator do?
Amazon sales volume estimator for sellers and product researchers. Amazon Sales Estimator is an agent skill from nexscope-ai/Amazon-Skills. Amazon sales volume estimator for sellers and product researchers.
When should I use Amazon Sales Estimator?
Amazon Sales Estimator fits situations like: estimating how many units a product sells per month; sizing a market; niche opportunity; analyzing competitor sales performance.
How do I install Amazon Sales Estimator in Claude Code?
Run `npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -a claude-code`. Or copy the skill folder (amazon-sales-estimator in nexscope-ai/Amazon-Skills) into .claude/skills/amazon-sales-estimator in your project. Claude Code loads it when a task matches its description.
How do I install Amazon Sales Estimator in Codex?
Run `npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -a codex`. Or copy the skill folder (amazon-sales-estimator in nexscope-ai/Amazon-Skills) into .agents/skills/amazon-sales-estimator in your project. Codex loads it when a task matches its description.
Can I use Amazon Sales Estimator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/amazon-sales-estimator, .gemini/skills/amazon-sales-estimator, .github/skills/amazon-sales-estimator and .opencode/skills/amazon-sales-estimator in your project.
What does Amazon Sales Estimator need to run?
Going by SKILL.md and its folder, Amazon Sales Estimator needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Amazon Sales Estimator access the network?
SKILL.md names 3 domains. In commands or code: amazon.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and nexscope.ai. This is read from the text; nothing was executed.
Is Amazon Sales Estimator safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Amazon Sales Estimator use?
Amazon Sales Estimator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Amazon Sales Estimator use?
About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Amazon Sales Estimator?
Skills that share tags, products or a category with Amazon Sales Estimator: Customer Research (Nexus-JPF/note-companion, 870 stars), Creative Director (smixs/creative-director-skill, 247 stars), Audience Research (ScrapeCreators/social-media-research-skills, 3.4k stars) and Last 30 Days Trend Research (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Amazon Sales Estimator?
nexscope-ai (a GitHub organization) maintains it in nexscope-ai/Amazon-Skills, which has 744 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on August 26, 2026.
Source: nexscope-ai/Amazon-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.