← Back to Skills Marketplace
bytesagain-lab

Bytesagain Crossborder Product Localizer

by bytesagain-lab · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
55
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install bytesagain-crossborder-product-localizer
Description
Localize product listings across English and Chinese ecommerce channels. Use when adapting Amazon, Shopify, Taobao, Pinduoduo, TK, or independent-site copy.
README (SKILL.md)

BytesAgain Crossborder Product Localizer

Localize product listings across English and Chinese ecommerce channels. It turns product facts into channel-ready ecommerce copy, audits missing fields, and formats outputs that AI agents can paste into store workflows.

Commands

map

Map source product facts to target channel fields.

bash scripts/script.sh map --product "portable blender" --channel "Amazon" --features "USB-C charging,400ml cup,easy cleaning" --keywords "portable blender,smoothie maker"

localize

Rewrite copy for a target market.

bash scripts/script.sh localize --product "portable blender" --channel "Amazon" --features "USB-C charging,400ml cup,easy cleaning" --keywords "portable blender,smoothie maker"

tone

Generate tone variants for platform norms.

bash scripts/script.sh tone --product "portable blender" --channel "Amazon" --features "USB-C charging,400ml cup,easy cleaning" --keywords "portable blender,smoothie maker"

compliance

Check risky claims and missing disclaimers.

bash scripts/script.sh compliance --product "portable blender" --channel "Amazon" --features "USB-C charging,400ml cup,easy cleaning" --keywords "portable blender,smoothie maker"

bundle

Create a multi-channel launch bundle.

bash scripts/script.sh bundle --product "portable blender" --channel "Amazon" --features "USB-C charging,400ml cup,easy cleaning" --keywords "portable blender,smoothie maker"

demo

Print a bilingual product localization pack.

bash scripts/script.sh demo --product "portable blender" --channel "Amazon" --features "USB-C charging,400ml cup,easy cleaning" --keywords "portable blender,smoothie maker"

Requirements

  • bash 4+
  • Standard Unix tools: sed, awk, paste, seq

Input Formats

  • Product facts: --product, --features, --keywords, --audience
  • Channel: --channel Amazon|Shopify|Taobao|Pinduoduo|TikTok|IndependentSite
  • Target market: --target US|CN|EU, --lang en|zh

Output

  • Markdown listing briefs, titles, bullets, SEO metadata, FAQ, scripts, audits, and launch bundles.

Notes

Use official marketplace policies before publishing claims. This skill drafts and audits copy; it does not upload products or ask for seller credentials.

Feedback

https://bytesagain.com/feedback/

Powered by BytesAgain | bytesagain.com

Usage Guidance
This skill appears coherent and limited to local text processing for ecommerce localization. Before installing, you may: (1) inspect scripts/script.sh locally (it is included and short), (2) run it in a disposable environment to verify outputs, and (3) avoid pasting sensitive seller credentials into prompts (the tool does not need them). Also verify that any copy it produces complies with the target marketplace policies before publishing.
Capability Analysis
Type: OpenClaw Skill Name: bytesagain-crossborder-product-localizer Version: 1.0.0 The skill is a text-processing utility designed for ecommerce product localization. The core logic in `scripts/script.sh` uses standard Unix tools (sed, awk, tr) to format user-provided product details into templates for various marketplaces. There is no evidence of data exfiltration, network activity, file system modification, or malicious prompt injection. The script handles inputs safely through standard shell quoting and does not utilize dangerous functions like eval or exec.
Capability Assessment
✓ Purpose & Capability
The name/description advertise product localization for ecommerce channels and the included script implements that: it accepts product facts and channel options and emits titles, bullets, SEO text, audits, and bundles. Required tools (bash, sed, awk, paste) align with the implemented text-processing behavior. No unrelated services, credentials, or binaries are requested.
✓ Instruction Scope
SKILL.md instructs running scripts/script.sh with product and channel flags. The script reads only CLI arguments and produces formatted output; it does not reference external files, environment variables, or network endpoints. The SKILL.md explicitly states it does not upload products or ask for seller credentials, and the code contains no network calls or file reads outside its own logic.
✓ Install Mechanism
There is no remote install step; the skill is instruction-only with a bundled shell script. Nothing in the manifest downloads or extracts external archives. This local-only distribution is low-risk compared with remote installers.
✓ Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The script uses only positional/flag inputs and standard Unix utilities; there are no requests for unrelated secrets or credentials.
✓ Persistence & Privilege
The skill does not request always:true, does not modify other skills or system settings, and contains no code that persists state or stores credentials. Autonomous invocation is allowed (platform default) but the script's behavior remains local and bounded.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install bytesagain-crossborder-product-localizer
  3. After installation, invoke the skill by name or use /bytesagain-crossborder-product-localizer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release for crossborder ecommerce localization
Metadata
Slug bytesagain-crossborder-product-localizer
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Bytesagain Crossborder Product Localizer?

Localize product listings across English and Chinese ecommerce channels. Use when adapting Amazon, Shopify, Taobao, Pinduoduo, TK, or independent-site copy. It is an AI Agent Skill for Claude Code / OpenClaw, with 55 downloads so far.

How do I install Bytesagain Crossborder Product Localizer?

Run "/install bytesagain-crossborder-product-localizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Bytesagain Crossborder Product Localizer free?

Yes, Bytesagain Crossborder Product Localizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Bytesagain Crossborder Product Localizer support?

Bytesagain Crossborder Product Localizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Bytesagain Crossborder Product Localizer?

It is built and maintained by bytesagain-lab (@bytesagain-lab); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments