Install
$ agentstack add skill-jqaisystems-jqai-ai-skills-etsy-listing-optimizer ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Etsy Listing Optimizer
Overview
Use this skill to improve marketplace listings through a review-first workflow: audit the current listing, choose keywords, rewrite title/tags/description, prioritize batches, and define a monitoring cadence. Use fake sample data in public examples and keep private shop data out of shared outputs.
Workflow
- Clarify the product type, buyer intent, marketplace, and whether the user wants a single-listing rewrite, keyword review, shop audit, or batch plan.
- Read
references/listing-constraints.mdbefore writing titles, tags, descriptions, image notes, or attributes. - Read
references/keyword-workflow.mdbefore choosing or rejecting keywords. - Read
references/batch-and-monitoring.mdbefore prioritizing many listings or recommending a refresh cadence. - Produce a concise optimization result with before/after fields, rationale, rejected keywords, review notes, and next steps.
- Require human review before anything is pasted into a live listing, shop dashboard, ad system, or scheduling tool.
Default Output
For a single listing, return:
- Listing audit summary.
- Buyer intent and positioning.
- Optimized title.
- Up to 13 tags.
- Description rewrite.
- Image, category, and attribute notes.
- Keywords used and keywords rejected.
- Human review checklist before publishing.
For a shop or batch, return:
- Priority logic.
- Batch list using fake or user-approved identifiers.
- Recommended workflow for each listing.
- Data freshness warnings.
- Monitoring cadence.
Safety Rules
- Do not publish or echo private shop exports, raw CSV rows, customer data, order data, revenue, ad data, credentials, API tokens, internal paths, or live shop configuration.
- Do not claim guaranteed ranking, sales, or platform outcomes.
- Do not recommend keyword stuffing, misleading tags, unrelated trends, trademark misuse, or competitor copying.
- Do not paste changes into a live marketplace. The user must review and apply.
- If using competitor or keyword-tool data, summarize patterns and rationale instead of exposing private exports.
Style Rules
- Match the actual product, material, format, and use case.
- Prefer clear buyer language over awkward keyword piles.
- Keep descriptions natural and scannable.
- Use all allowed tags only when they are relevant.
- Explain tradeoffs when a strong keyword is rejected for mismatch, trademark risk, weak intent, or poor fit.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jqaisystems
- Source: jqaisystems/jqai-ai-skills
- License: MIT
- Homepage: https://www.ai.joaoqueiros.com/skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.