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pangolinfo-amazon-listing-optimization
by
Pangolinfo
· GitHub ↗
· v2.0.0
· MIT-0
144
Downloads
0
Stars
0
Active Installs
3
Versions
Install in OpenClaw
/install pangolinfo-amazon-listing-optimization
Description
This skill serves as an advanced Amazon Listing Optimization & Copywriting Engine (powered by Pangolinfo API). It is strictly designed to craft high-conversi...
Usage Guidance
This skill appears to do what it claims: it calls Pangolinfo APIs to scrape Amazon/Google SERP/external social sources and run WIPO checks. Before installing: (1) prefer providing an API key rather than your Pangolinfo account password; (2) avoid enabling the optional cache unless you want a token file at ~/.pangolinfo_api_key (the default is not to cache); (3) be aware that network requests and scraped data are sent to scrapeapi.pangolinfo.com (the stated backend); (4) the skill’s SOP suppresses raw JSON output by default, so expect summarized results rather than raw API payloads; (5) if you have privacy or billing concerns, create a separate Pangolinfo account or API key with limited credits. If you want deeper assurance, verify the Pangolinfo domain and review its privacy/terms or run the bundled self-test locally with non-sensitive credentials first.
Capability Analysis
Type: OpenClaw Skill
Name: pangolinfo-amazon-listing-optimization
Version: 2.0.0
The skill bundle is a legitimate toolkit for Amazon listing optimization and market research. It consists of four zero-dependency Python scripts (ai_serp.py, amazon_niche.py, amazon_scraper.py, wipo.py) that interface with the Pangolinfo API. The code is well-structured, uses standard libraries (urllib), and implements responsible credential management, including opt-in local caching with restricted file permissions (0o600). The SKILL.md instructions provide a detailed, task-aligned SOP for the AI agent without any evidence of malicious prompt injection or unauthorized data access.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description (Amazon listing optimization, VOC scraping, WIPO checks) match the included scripts (amazon_scraper.py, ai_serp.py, amazon_niche.py, wipo.py) and the declared Pangolinfo credentials. The requested environment variables (PANGOLINFO_API_KEY or email+password) are appropriate for the upstream service.
Instruction Scope
SKILL.md and the scripts restrict actions to data collection via Pangolinfo endpoints and scraping SERP/Amazon/WIPO as documented. The SOP mandates default US marketplace/zip and silent execution of a 5-step workflow — this is a design choice that affects transparency (the agent will not surface raw JSON by default). The instructions and scripts only reference declared env vars and an optional cache file (~/.pangolinfo_api_key).
Install Mechanism
No install spec or external download URLs are used. The bundle contains zero-dependency Python scripts and a shell self-test; nothing is pulled from unknown hosts during installation.
Credentials
The skill requires Pangolinfo credentials only (API key or email/password). This is proportionate, but supplying email+password is sensitive; the scripts offer an optional caching mechanism that can write an API token to ~/.pangolinfo_api_key if explicitly enabled.
Persistence & Privilege
always is false and the skill is user-invocable. The skill does not request elevated platform privileges or modify other skills. Optional token caching writes only to the invoking user's home directory when explicitly enabled.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pangolinfo-amazon-listing-optimization - After installation, invoke the skill by name or use
/pangolinfo-amazon-listing-optimization - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
- Minor correction in negative boundaries: niche-finding route changed from `pangolinfo-amazon-product-discovery` to `pangolinfo-amazon-product-explorer`.
- Added `emoji` and `os` fields under metadata to improve compatibility and display.
- No logic or script functionality changes; all bundled APIs and system prompts remain unchanged.
- Updated tags format for consistency.
- Version remains at 2.0.0.
v1.0.1
Major restructuring: migrated to a flat, unified script structure and simplified skill packaging.
- All bundled tools are now located under a single scripts/ directory (no nested skill folders).
- Removed legacy sub-skill folders and merged their functionality into standalone scripts (ai_serp.py, amazon_scraper.py, amazon_niche.py, wipo.py).
- Updated documentation to reference flat script paths for invocation and clarified usage for each capability.
- References and setup guides are now organized under a unified references/ directory, grouped by capability.
- Skill metadata, versioning, and onboarding instructions updated to reflect these changes and new versioning (2.0.0).
v1.0.0
Initial public release of Pangolinfo Amazon Listing Optimization.
- Provides advanced Amazon listing copywriting powered by multi-channel VOC analysis and WIPO trademark checking.
- Bundles Amazon review scraper, AI SERP for external insights, and compliance checks.
- Strictly enforces data-driven listing generation with scenario-based triggers and negative boundaries.
- Includes system prompt and SOP for deep, multi-step optimization—defaulting to Amazon US marketplace.
- Supports onboarding with user-facing multilingual welcome message and precise execution rules.
Metadata
Frequently Asked Questions
What is pangolinfo-amazon-listing-optimization?
This skill serves as an advanced Amazon Listing Optimization & Copywriting Engine (powered by Pangolinfo API). It is strictly designed to craft high-conversi... It is an AI Agent Skill for Claude Code / OpenClaw, with 144 downloads so far.
How do I install pangolinfo-amazon-listing-optimization?
Run "/install pangolinfo-amazon-listing-optimization" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is pangolinfo-amazon-listing-optimization free?
Yes, pangolinfo-amazon-listing-optimization is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does pangolinfo-amazon-listing-optimization support?
pangolinfo-amazon-listing-optimization is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).
Who created pangolinfo-amazon-listing-optimization?
It is built and maintained by Pangolinfo (@pangolinfo); the current version is v2.0.0.
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