ZooData — Amazon Seller Data Analysis
Amazon-domain general analysis and multi-endpoint research engine.
How to use it
Claude Code
- Run the line below. It pulls the whole folder into
~/.claude/skills/amazon-analysis, including the files SKILL.md points to. - Describe your job in plain words. Claude Code follows the skill from there.
npx degit SerendipityOneInc/ZooData-Skills/amazon-analysis#main ~/.claude/skills/amazon-analysisFor one project only, change the path to .claude/skills/amazon-analysis. This skill also uses scenarios-composite.md, scenarios-eval.md, scenarios-expand.md, scenarios-listing.md, scenarios-ops.md, scenarios-pricing.md — copying SKILL.md alone won't be enough. See the folder on GitHub.
Claude (web or desktop app)
- On this page open ⋯ → Download .md.
- Save it as SKILL.md in a folder, zip the folder, then Customize → Skills → + → Create skill → Upload a skill.
- Pick the file and Save. Claude shows the name and description and runs a security scan.
- Check the skill is switched on.
- Start a new chat and describe your job in plain words. The AI follows the skill from there.
ChatGPT or another app
- ChatGPT: make a Project and paste it into Instructions.
- Neither? Paste it at the top of a new chat — it works for that chat.
Not working?
- Check which app you pasted it into — the steps above name the right one.
- Some skills need the paid tier of Claude or ChatGPT.
Paste into Claude, ChatGPT or Cursor.
Source of ZooData — Amazon Seller Data Analysis
Show the full text73 lines
| name | description | metadata |
|---|---|---|
| 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. | version: "1.1.13 author: SerendipityOneInc homepage: https://github.com/SerendipityOneInc/ZooData-Skills openclaw: {"requires": {"env": ["ZOODATA_API_KEY"]}, "primaryEnv": "ZOODATA_API_KEY"} |
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.mdbefore selecting or invoking a command. Inspect the bundled CLI's top-level and selected subcommand help. - Read
references/reference.mdfor endpoint fields and local CLI options. Load the applicable scenario module:scenarios-composite.mdfor broad cross-validation,scenarios-eval.mdfor product evaluation,scenarios-expand.mdfor expansion,scenarios-listing.mdfor listing context,scenarios-ops.mdfor operations, orscenarios-pricing.mdfor 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.mdowns 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.mdowns shared CLI invocation, command identity, result classification, retries, and terminal or partial-result handling.references/reference.mdowns endpoint availability, request and response fields, CLI parameter mapping, data shapes, and field identity. It does not set analytical thresholds.references/execution-guide.mdowns 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.pyowns 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-onlycheckpath 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
marketTotaland selected Top 100marketSamplemetrics. - 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.aiand refuses an untrustedZOODATA_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
checkpath does not.
Execution entry
python {skill_base_dir}/scripts/zoodata.py <documented-subcommand> ...
This skill allows categories, market, market-structure-profile, 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.
| 1 | |
| 2 | name amazon-analysis |
| 3 | description > |
| 4 | Amazon-domain general analysis and multi-endpoint research engine. |
| 5 | Handles broad or composite Amazon research requests that span multiple data |
| 6 | dimensions or have no single specialized angle. For focused category-market |
| 7 | discovery, market-entry evaluation, or category trends, use |
| 8 | amazon-market-analysis. |
| 9 | Use when: |
| 10 | - user asks for multi-endpoint Amazon research or composite reports |
| 11 | - user asks "what kind of Amazon analysis can I run" or wants an overview |
| 12 | of available Amazon insights |
| 13 | - user wants broad Amazon data exploration with no single specific |
| 14 | deliverable in mind |
| 15 | Uses {skill_base_dir}/scripts/zoodata.py. Requires ZOODATA_API_KEY. |
| 16 | metadata |
| 17 | version "1.1.13" |
| 18 | author SerendipityOneInc |
| 19 | homepage https://github.com/SerendipityOneInc/ZooData-Skills |
| 20 | openclaw {"requires": {"env": ["ZOODATA_API_KEY"]}, "primaryEnv": "ZOODATA_API_KEY"} |
| 21 | |
| 22 | |
| 23 | # ZooData — Amazon Seller Data Analysis |
| 24 | |
| 25 | 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. |
| 26 | |
| 27 | ## Start here |
| 28 | |
| 29 | 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. |
| 30 | Read `references/cli-contract.md` before selecting or invoking a command. Inspect the bundled CLI's top-level and selected subcommand help. |
| 31 | 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. |
| 32 | Apply the shared interpretation and reporting rules in `references/execution-guide.md`; use the selected scenario for its specific evidence and conclusion scope. |
| 33 | |
| 34 | ## Source-of-truth boundaries |
| 35 | |
| 36 | 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. |
| 37 | `references/cli-contract.md` owns shared CLI invocation, command identity, result classification, retries, and terminal or partial-result handling. |
| 38 | `references/reference.md` owns endpoint availability, request and response fields, CLI parameter mapping, data shapes, and field identity. It does not set analytical thresholds. |
| 39 | `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. |
| 40 | 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. |
| 41 | `{skill_base_dir}/scripts/zoodata.py` owns local preset expansion, request construction, transport metadata, and credential handling; it does not issue business conclusions. |
| 42 | |
| 43 | ## Shared CLI Contract |
| 44 | |
| 45 | 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. |
| 46 | |
| 47 | ### Local Interface Failure Output |
| 48 | |
| 49 | Use the failure rendering in `references/execution-guide.md`; direct a user with exhausted credits to https://zoodata.ai/en/pricing. |
| 50 | |
| 51 | ## Non-negotiable boundaries |
| 52 | |
| 53 | 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. |
| 54 | 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 `marketTotal` and selected Top 100 `marketSample` metrics. |
| 55 | 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. |
| 56 | State estimated credit cost before a broad multi-call scan. Require the user's explicit monitoring request before creating recurring work or saved baselines. |
| 57 | |
| 58 | ## Capabilities and data flow |
| 59 | |
| 60 | **Network**: the bundled CLI sends authenticated requests to `https://api.zoodata.ai` and refuses an untrusted `ZOODATA_BASE_URL`. |
| 61 | **Execution**: Python 3 standard-library shared CLI at `{skill_base_dir}/scripts/zoodata.py`. |
| 62 | **Local files**: reads optional `~/.zoodata/config.json`; review fallback may use a private temporary directory. |
| 63 | **Sent to the API**: keywords, category paths/IDs, ASINs, marketplace, dates, and numeric filters. Seller profile text remains local. |
| 64 | **Credits**: evidence calls consume account credits; the credential-only `check` path does not. |
| 65 | |
| 66 | ## Execution entry |
| 67 | |
| 68 | |
| 69 | python {skill_base_dir}/scripts/zoodata.py <documented-subcommand> ... |
| 70 | |
| 71 | |
| 72 | This skill allows `categories`, `market`, `market-structure-profile`, `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`. |
| 73 |
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