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anugotta

Catalog SKU Matcher India

by ASP · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
151
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0
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0
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1
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Install in OpenClaw
/install catalog-sku-matcher-india
Description
Match and normalize product listings across Indian ecommerce catalogs with variant-aware rules, confidence scoring, false-match prevention, and review queues...
README (SKILL.md)

Catalog SKU Matcher India

Purpose

Build reliable cross-store product matching for Indian catalogs so price comparison is accurate.

Disclaimer

This skill provides matching and normalization guidance only. It does not guarantee perfect match accuracy for all catalogs or seller data quality.

Use at your own risk. The skill author/publisher/developer is not liable for direct or indirect loss, incorrect match decisions, trading losses, or other damages arising from use or misuse of this guidance.

Matching strategy

Use a layered approach:

  1. Hard identifiers

    • model number / GTIN / MPN / ISBN where available

  2. Variant normalization

    • brand
    • model family
    • storage/RAM
    • color
    • size/pack quantity
    • condition (new/refurbished/used)

  3. Soft similarity

    • token similarity on cleaned title
    • key-attribute overlap
    • seller metadata sanity checks

  4. Confidence score

    • high: auto-match
    • medium: human review queue
    • low: reject

False-match guardrails

  • Never match different storage/RAM variants as same SKU.
  • Never match bundles/accessories to standalone products.
  • Never ignore refurbished/used condition differences.
  • Require manual review when two or more variant fields are missing.

Output format

When matching listings, return:

  1. canonical SKU candidate
  2. matched listings with confidence level
  3. rejected candidates with reason codes
  4. manual review queue entries

Setup

Read setup.md and define normalization dictionaries first.

Validation

Run validation-checklist.md on labeled test sets before production.

References

Usage Guidance
This skill is a set of guidelines and rule files (no code or installs), so the immediate risk is low. Before using in production: (1) implement the rules in your own audited code rather than blindly executing external code, (2) build and run labeled validation sets as the setup and validation checklists recommend, (3) keep conservative auto-match thresholds and human review for ambiguous cases, (4) ensure any real data you feed into an implementation complies with privacy and marketplace TOS, and (5) if you add connectors that fetch catalogs, review those connectors for credential use and external endpoints (those are the places that can introduce risk).
Capability Analysis
Type: OpenClaw Skill Name: catalog-sku-matcher-india Version: 1.0.0 The skill bundle is a well-structured framework for matching and normalizing product listings across e-commerce catalogs. It consists entirely of Markdown documentation (SKILL.md, matching-rules.md, scoring-guide.md) providing logic, reason codes, and validation steps for an AI agent. There is no executable code, no network activity, and no evidence of prompt injection or data exfiltration.
Capability Assessment
✓ Purpose & Capability
Name, description, and provided files (matching rules, scoring, examples, setup, validation) all align: the skill is focused on catalog SKU matching and normalization and does not request unrelated capabilities or resources.
✓ Instruction Scope
SKILL.md and the supplemental docs contain only matching strategies, rulebooks, scoring, setup and validation checklists. There are no instructions to read system files, access environment variables, call external endpoints, or transmit data outside the matching workflow.
✓ Install Mechanism
No install spec and no code files — this is instruction-only, so nothing is downloaded or executed on install and nothing is written to disk by the skill itself.
✓ Credentials
No required environment variables, credentials, or config paths are declared. The requested resources are minimal and proportional to an instruction-only matching guide.
✓ Persistence & Privilege
Flags show always:false and default agent invocation behavior. The skill does not request persistent presence or modification of other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install catalog-sku-matcher-india
  3. After installation, invoke the skill by name or use /catalog-sku-matcher-india
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of catalog-sku-matcher-india. - Provides rules and strategies to match and normalize product listings across Indian ecommerce catalogs. - Includes variant-aware logic, confidence scoring, false-match prevention, and review queue mechanics for ambiguous cases. - Offers clear output formats for matches, rejections, and review entries. - Setup and validation guides included for safe integration and testing.
Metadata
Slug catalog-sku-matcher-india
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Catalog SKU Matcher India?

Match and normalize product listings across Indian ecommerce catalogs with variant-aware rules, confidence scoring, false-match prevention, and review queues... It is an AI Agent Skill for Claude Code / OpenClaw, with 151 downloads so far.

How do I install Catalog SKU Matcher India?

Run "/install catalog-sku-matcher-india" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Catalog SKU Matcher India free?

Yes, Catalog SKU Matcher India is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Catalog SKU Matcher India support?

Catalog SKU Matcher India is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Catalog SKU Matcher India?

It is built and maintained by ASP (@anugotta); the current version is v1.0.0.

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