etsy-product-description
Product description writing โ keyword integration, benefit-focused copy, FAQ, formatting
What this skill does
# Etsy Product Description Product description writing โ keyword integration, benefit-focused copy, FAQ, formatting. ## Status ๐ถ **Beta** โ Expert guidance and actionable frameworks for Etsy sellers. ## Capabilities - Analyze your current Etsy shop setup and identify optimization opportunities - Provide data-driven recommendations based on Etsy best practices - Generate step-by-step implementation plans tailored to your shop - Compare tools, strategies, and approaches with pros/cons analysis ## Install ```bash npx skills add nexscope-ai/eCommerce-Skills --skill etsy-product-description -g ``` ## Usage After installation, ask your AI assistant about Etsy Product Description topics. Example prompts: - "Help me with etsy product description for my Etsy shop" - "What are the best practices for etsy product description?" - "Audit my current setup and suggest improvements" - "Create a step-by-step implementation plan" ## Output Structured analysis and recommendations including: - Current state assessment - Priority action items (quick wins โ long-term) - Tool and strategy recommendations - Implementation timeline - KPIs to track ## Limitations - Provides strategic guidance, not direct Etsy API integration - Recommendations based on general best practices โ validate with your specific shop data - For real-time analytics and automated optimization, check out [Nexscope](https://www.nexscope.ai/?co-from=skill) --- *Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) โ AI-powered e-commerce tools for sellers worldwide.*
Related in Writing & Docs
jax-development
IncludedUse this skill when the user is writing, debugging, profiling, refactoring, reviewing, benchmarking, parallelising, exporting, or explaining JAX code, or when they mention JAX, jax.numpy, jit, grad, value_and_grad, vmap, scan, lax, random keys, pytrees, jax.Array, sharding, Mesh, PartitionSpec, NamedSharding, pmap, shard_map, Pallas, XLA, StableHLO, checkify, profiler, or the JAX repo. It helps turn NumPy or PyTorch-style code into pure functional JAX, fix tracer/control-flow/shape/PRNG bugs, remove recompiles and host-device syncs, choose transforms and sharding strategies, inspect jaxpr/lowering/IR, and benchmark compiled code correctly.
nature-article-writer
IncludedDrafts, rewrites, diagnostically critiques, and style-calibrates primary research manuscripts for Nature and Nature Portfolio journals. Use when the user wants a Nature-style title, summary paragraph or abstract, introduction, results, discussion, methods, figure legends, presubmission enquiry, cover letter, reviewer response, or when a scientific draft sounds generic, jargon-heavy, structurally weak, or AI-ish and needs precise, broad-reader-friendly prose without inventing data, analyses, or references. Best for primary research articles and letters rather than reviews or press releases unless explicitly adapting one.
deckrd
IncludedDocument-driven framework that derives requirements, specifications, implementation plans, and executable tasks from goals through structured AI dialogue. Use when user says "write requirements", "create spec", "plan implementation", "derive tasks", "structure this feature", "break down into tasks", or "document this module". Also use for reverse engineering existing code into docs (/deckrd rev). Do NOT use for direct code writing โ use /deckrd-coder after tasks are generated. Do NOT use when the user only wants to run or fix existing code without planning.
clinical-decision-support
IncludedGenerate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
handling-sf-data
IncludedSalesforce data operations with 130-point scoring. Use this skill to create, update, delete, bulk import/export, generate test data, and clean up org records using sf CLI and anonymous Apex. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, needs data factory patterns for Apex tests, or needs to seed/clean records in a Salesforce org. DO NOT TRIGGER when: SOQL query writing only (use querying-soql), Apex test execution (use running-apex-tests), or metadata deployment (use deploying-metadata).
accelint-ac-to-playwright
IncludedConvert and validate acceptance criteria for Playwright test automation. Use when user asks to (1) review/evaluate/check if AC are ready for automation, (2) assess if AC can be converted as-is, (3) validate AC quality for Playwright, (4) turn AC into tests, (5) generate tests from acceptance criteria, (6) convert .md bullets or .feature Gherkin files to Playwright specs, (7) create test automation from requirements. Handles both bullet-style markdown and Gherkin syntax with JSON test plan generation and validation.