Amazon Analysis

Organization

SerendipityOneInc

amazon-analysis

Amazon-domain general analysis and multi-endpoint research engine. Handles broad or composite Amazon research requests that span multiple data dimensions or have no single specialized angle. For focused category-market discovery, market-entry evaluation, or category trends, use amazon-market-analysis. Use when: - user asks for multi-endpoint Amazon research or composite reports - user asks "what kind of Amazon analysis can I run" or wants an overview of available Amazon insights - user wants broad Amazon data exploration with no single specific deliverable in mind Uses {skill_base_dir}/scripts/zoodata.py. Requires ZOODATA_API_KEY.

Overview

Publisher	SerendipityOneInc
Repository	`ZooData-Skills`
Skill name	`amazon-analysis`
Stars	78
Forks	12
Bundled files	11
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
11 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by SerendipityOneInc on GitHub. Read the source before you install it.

Installation

Install the Amazon Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/SerendipityOneInc/ZooData-Skills/tree/main/amazon-analysis
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/SerendipityOneInc/ZooData-Skills.git /tmp/ZooData-Skills
mkdir -p .claude/skills
cp -r /tmp/ZooData-Skills/amazon-analysis .claude/skills/amazon-analysis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Amazon Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Amazon Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ZooData — Amazon Seller Data Analysis

Respond in the user's language. Use this skill for broad or composite Amazon research without a single specialized deliverable. Route a focused market-entry, market-discovery, or category-trend request to amazon-market-analysis; route a focused keyword, listing, pricing, review, or competitor request to its dedicated skill.

Start here

Classify the user's question. For a single data point, use the quick path in references/execution-guide.md; for multi-endpoint research, load its full workflow.
Read references/cli-contract.md before selecting or invoking a command. Inspect the bundled CLI's top-level and selected subcommand help.
Read references/reference.md for endpoint fields and local CLI options. Load the applicable scenario module: scenarios-composite.md for broad cross-validation, scenarios-eval.md for product evaluation, scenarios-expand.md for expansion, scenarios-listing.md for listing context, scenarios-ops.md for operations, or scenarios-pricing.md for pricing context.
Apply the shared interpretation and reporting rules in references/execution-guide.md; use the selected scenario for its specific evidence and conclusion scope.

Source-of-truth boundaries

This SKILL.md owns trigger routing, module loading, the responsibility map, and non-negotiable runtime boundaries. It does not define product presets, thresholds, endpoint fields, procedures, or report templates.
references/cli-contract.md owns shared CLI invocation, command identity, result classification, retries, and terminal or partial-result handling.
references/reference.md owns endpoint availability, request and response fields, CLI parameter mapping, data shapes, and field identity. It does not set analytical thresholds.
references/execution-guide.md owns shared workflow steps, product-preset selection, market-health interpretation, cross-endpoint analysis, and user-facing output rules. It does not redefine endpoint fields.
Scenario modules own the evidence selection, conclusions, and scenario-specific report sections for their named task. They may narrow shared workflow rules but cannot redefine endpoint contracts or shared output rules.
{skill_base_dir}/scripts/zoodata.py owns local preset expansion, request construction, transport metadata, and credential handling; it does not issue business conclusions.

Shared CLI Contract

Before selecting or invoking the first command, read and apply the local references/cli-contract.md. Reapply it after every granular or composite result and before any fallback, additional call, state write, interpretation, or report. The local references/execution-guide.md owns user-facing failure rendering.

Local Interface Failure Output

Use the failure rendering in references/execution-guide.md; direct a user with exhausted credits to https://zoodata.ai/en/pricing.

Non-negotiable boundaries

Require ZOODATA_API_KEY; use the bundled CLI and the local command manifest. The credential-only check path precedes evidence calls. Stop and follow the shared CLI contract on credential, credit, validation, or terminal interface failures; do not invent missing evidence.
Resolve and preserve a category path or ID before category-scoped comparisons. Distinguish inferred category paths from direct matches. Preserve marketplace, date, category scope, sample type, and the difference between full-category and selected Top 100 SPU metrics.
Treat seller budget, experience, risk tolerance, and other profile text as local interpretation inputs. Send only the documented category/product identifiers and numeric filters to the API.
State estimated credit cost before a broad multi-call scan. Require the user's explicit monitoring request before creating recurring work or saved baselines.

Capabilities and data flow

Network: the bundled CLI sends authenticated requests to https://api.zoodata.ai and refuses an untrusted ZOODATA_BASE_URL.
Execution: Python 3 standard-library shared CLI at {skill_base_dir}/scripts/zoodata.py.
Local files: reads optional ~/.zoodata/config.json; review fallback may use a private temporary directory.
Sent to the API: keywords, category paths/IDs, ASINs, marketplace, dates, and numeric filters. Seller profile text remains local.
Credits: evidence calls consume account credits; the credential-only check path does not.

Execution entry

bash
python {skill_base_dir}/scripts/zoodata.py <documented-subcommand> ...

This skill allows categories, market, market-profile, market-price-distributions, market-rating-distributions, market-rating-count-distributions, market-listing-age-distributions, market-fulfillment-distributions, market-seller-country-distributions, market-content-distributions, market-top-product-concentrations, market-brand-concentrations, market-seller-concentrations, market-listing-launch-trend, market-history, products, competitors, product, analyze, report, opportunity, history, brand-overview, brand-detail, price-band-overview, price-band-detail, check, reviews-raw, review-tag-prompt, review-reduce-prompt, and review-aggregate.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Amazon Analysis AI skill do?

Why use Amazon Analysis on TypingMind?

Because you install it once and use it with any model. Amazon Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Amazon Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SerendipityOneInc/ZooData-Skills/tree/main/amazon-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Amazon Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Amazon Analysis?

As many as you like. As long as a model supports skills, you can use Amazon Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Amazon Analysis AI skill free?

Yes. It is published on GitHub by SerendipityOneInc under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

ZooData — Amazon Seller Data Analysis

Start here

Source-of-truth boundaries

Shared CLI Contract

Local Interface Failure Output

Non-negotiable boundaries

Capabilities and data flow

Execution entry

Bundled files

Frequently asked questions

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