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Catalog SKU Matcher India

Name: Catalog SKU Matcher India
Author: anugotta

作者 ASP · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

151

总下载

当前安装

版本数

在 OpenClaw 中安装

/install catalog-sku-matcher-india

功能描述

Match and normalize product listings across Indian ecommerce catalogs with variant-aware rules, confidence scoring, false-match prevention, and review queues...

使用说明 (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:

Hard identifiers
- model number / GTIN / MPN / ISBN where available
Variant normalization
- brand
- model family
- storage/RAM
- color
- size/pack quantity
- condition (new/refurbished/used)
Soft similarity
- token similarity on cleaned title
- key-attribute overlap
- seller metadata sanity checks
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:

canonical SKU candidate
matched listings with confidence level
rejected candidates with reason codes
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

Rules and reason codes: matching-rules.md
Confidence scoring: scoring-guide.md
Edge-case examples: examples.md

安全使用建议

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).

功能分析

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.

能力评估

✓ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install catalog-sku-matcher-india
安装完成后，直接呼叫该 Skill 的名称或使用 /catalog-sku-matcher-india 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

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.

元数据

Slug catalog-sku-matcher-india

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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