{"slug":"nexscope-ai-amazon-backend-keywords","name":"amazon-backend-keywords","description":"Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization.","long_description":"---\nname: amazon-backend-keywords\ndescription: \"Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization.\"\nmetadata: {\"nexscope\":{\"emoji\":\"🔍\",\"category\":\"amazon\"}}\n---\n\n# Amazon Backend Keywords 🔍\n\nStrategic Amazon backend search term optimization. Maximize search visibility within the 250-byte limit through intelligent keyword prioritization.\n\n## Installation\n\n```bash\nnpx skills add nexscope-ai/Amazon-Skills --skill amazon-backend-keywords -g\n```\n\n## Usage Examples\n\n**Backend keyword optimization strategy:**\n```\n\"Optimize my Amazon backend search terms - I have 15 relevant keywords but only 250 bytes to work with\"\n```\n\n**Search visibility improvement:**\n```\n\"My product isn't showing up for important searches - help me optimize backend keywords for better discoverability\"\n```\n\n**Keyword deduplication and prioritization:**\n```\n\"Clean up my backend keywords and prioritize the most valuable terms for maximum search coverage\"\n```\n\n## Core Capabilities\n\n### 1. Strategic Keyword Research & Prioritization\n- Comprehensive keyword research and search volume analysis for optimal term selection\n- Search intent analysis and customer behavior research for relevance optimization\n- Competitive keyword analysis and market opportunity identification\n- ROI-based keyword prioritization and value ranking systems\n\n### 2. Technical Optimization & Character Management\n- 250-byte limit optimization and space allocation strategies\n- Advanced deduplication and redundancy elimination techniques\n- Character efficiency optimization and abbreviation strategies\n- Multi-language and international marketplace optimization\n\n### 3. Performance Tracking & Continuous Optimization\n- Search ranking monitoring and visibility tracking systems\n- Keyword performance analysis and optimization impact measurement\n- Seasonal optimization and trending keyword integration\n- Ongoing refinement and strategic keyword evolution processes\n\n## How It Works\n\n### Step 1: Comprehensive Keyword Research & Analysis\n*Strategic keyword identification and market opportunity assessment*\n\nResearch and identify high-value backend keyword opportunities:\n- Conduct comprehensive keyword research using multiple data sources to identify all relevant search terms\n- Analyze search volume, competition levels, and commercial intent to prioritize keyword opportunities\n- Research competitor backend keyword strategies and identify market gaps for competitive advantage\n- Map keywords to customer search intent and purchase journey stages for strategic optimization\n\n### Step 2: Strategic Optimization & Implementation\n*Character limit optimization and keyword implementation strategy*\n\nOptimize backend keywords within Amazon's constraints:\n- Apply deduplication and optimization techniques to maximize keyword coverage within 250-byte limit\n- Prioritize keywords based on search volume, relevance, and business impact for optimal selection\n- Implement character efficiency strategies and space optimization techniques for maximum term inclusion\n- Structure backend keywords for optimal Amazon algorithm interpretation and search matching\n\n### Step 3: Performance Monitoring & Continuous Improvement\n*Ongoing optimization and strategic keyword evolution*\n\nMonitor and refine backend keyword performance:\n- Track search ranking improvements and visibility changes from backend keyword optimization\n- Analyze keyword performance data and adjust strategy based on search behavior changes\n- Implement seasonal keyword updates and trending term integration for sustained relevance\n- Establish ongoing optimization cycles and performance improvement frameworks\n\n## Output Format\n\n```\n## Amazon Backend Keywords Optimization Strategy\n**ASIN:** [Product ASIN] | **Category:** [Category] | **Current Keywords:** [X] characters | **Optimization Target:** [Search visibility improvement goal]\n\n### Keyword Research & Analysis\n\n**Market Research Summary:**\n- **Total Keywords Identified:** [XXX] relevant terms across [X] categories\n- **Search Volume Analysis:** High ([X] terms), Medium ([Y] terms), Low ([Z] terms)\n- **Competition Assessment:** Low competition ([X] terms), Medium ([Y] terms), High ([Z] terms)\n- **Intent Mapping:** Purchase intent ([X] terms), Research intent ([Y] terms), Comparison ([Z] terms)\n\n**Primary Keyword Categories:**\n\n**Category 1: Core Product Terms**\n| Keyword | Monthly Searches | Competition | Character Count | Priority Score |\n|---------|------------------|-------------|-----------------|----------------|\n| [core term 1] | [X,XXX] | Low | [X] chars | 95/100 |\n| [core term 2] | [X,XXX] | Medium | [X] chars | 90/100 |\n| [core term 3] | [XXX] | Low | [X] chars | 85/100 |\n\n**Category 2: Feature & Benefit Keywords**\n| Keyword | Search Volume | Relevance | Characters | Business Impact |\n|---------|---------------|-----------|------------|-----------------|\n| [feature 1] | [X,XXX] | High | [X] chars | Direct sales driver |\n| [benefit 1] | [XXX] | High | [X] chars | Conversion booster |\n| [use case 1] | [XXX] | Medium | [X] chars | Market expansion |\n\n**Category 3: Alternative & Synonym Terms**\n| Primary Term | Alternatives | Search Volume | Characters Saved |\n|--------------|--------------|---------------|------------------|\n| [main term] | [alt1, alt2, alt3] | [Combined volume] | [X] chars optimization |\n| [feature term] | [synonym1, synonym2] | [Combined volume] | [Y] chars saved |\n\n**Category 4: Long-tail & Niche Terms**\n| Long-tail Keyword | Specificity | Competition | Conversion Potential |\n|-------------------|-------------|-------------|---------------------|\n| [specific phrase 1] | High | Very Low | Excellent |\n| [niche term 1] | High | Low | Good |\n| [detailed descriptor] | Medium | Low | Good |\n\n### Competitive Analysis & Gap Identification\n\n**Top Competitor Backend Analysis:**\n- **Competitor 1:** [Brand] - Estimated backend focus: [keyword themes]\n- **Competitor 2:** [Brand] - Gap opportunities: [missed keywords]\n- **Competitor 3:** [Brand] - Differentiation terms: [unique positioning keywords]\n\n**Market Gap Opportunities:**\n- **Untapped Keywords:** [High-volume terms competitors are missing]\n- **Emerging Trends:** [New keywords gaining search volume]\n- **Seasonal Opportunities:** [Time-sensitive keyword opportunities]\n- **Long-tail Potential:** [Specific phrases with low competition]\n\n### Backend Keywords Optimization Strategy\n\n**Character Limit Management (250 bytes):**\n\n**Current State Analysis:**\n```\nCurrent Backend Keywords: [X] characters used / 250 available\nEfficiency Rating: [X]% (characters per keyword value)\nRedundancy Level: [X]% (duplicate coverage across listing)\nOptimization Potential: [X] characters can be saved\n```\n\n**Optimization Techniques Applied:**\n\n**1. Deduplication Strategy:**\n```\nTitle Keywords to Remove from Backend:\n- [keyword 1] - Already in title (saves [X] characters)  \n- [keyword 2] - Already in bullet points (saves [Y] characters)\n- [keyword 3] - Already in description (saves [Z] characters)\nTotal Saved: [XX] characters through deduplication\n```\n\n**2. Abbreviation & Efficiency Strategy:**\n```\nOptimization Opportunities:\n- \"stainless steel\" → \"steel\" (saves 9 characters, maintains relevance)\n- \"waterproof\" → \"water proof\" (space adds search variation)\n- Remove articles (a, an, the) → saves [X] characters\n- Plural/singular optimization → saves [Y] characters\n```\n\n**3. Strategic Keyword Grouping:**\n```\nKeyword Clusters for Space Efficiency:\nCluster 1: [related terms that can share space]\nCluster 2: [synonyms that cover multiple searches]\nCluster 3: [compound terms with multiple search matches]\n```\n\n### Optimized Backend Keywords Implementation\n\n**Final Backend Keyword String (250 characters):**\n```\n[optimized keyword string with exactly 249-250 characters]\n```\n\n**Keyword Breakdown & Justification:**\n\n**Priority Tier 1: Must-Have Keywords (60% of space)**\n- **[keyword 1]** - [X] chars - Core product term with highest search volume\n- **[keyword 2]** - [Y] chars - Primary feature with strong purchase intent\n- **[keyword 3]** - [Z] chars - Main benefit driving customer decisions\n\n**Priority Tier 2: High-Value Keywords (25% of space)**  \n- **[keyword 4]** - [X] chars - Important alternative term with good volume\n- **[keyword 5]** - [Y] chars - Competitive keyword for market share\n- **[keyword 6]** - [Z] chars - Seasonal/trending term with growth potential\n\n**Priority Tier 3: Strategic Keywords (15% of space)**\n- **[keyword 7]** - [X] chars - Long-tail with excellent conversion potential\n- **[keyword 8]** - [Y] chars - Niche term for market expansion\n- **[keyword 9]** - [Z] chars - Emerging keyword for future positioning\n\n### Advanced Optimization Techniques\n\n**Multi-Match Strategy:**\n```\nSmart Keyword Selection for Multiple Match Potential:\n- \"kitchen knife set\" matches: \"kitchen knife\", \"knife set\", \"kitchen\", \"knife\"\n- \"stainless steel\" matches: \"stainless\", \"steel\", \"stainless steel\"  \n- \"dishwasher safe\" matches: \"dishwasher\", \"safe\", \"dishwasher safe\"\n```\n\n**Variant Coverage Strategy:**\n- **Spelling Variations:** Include common misspellings and alternative spellings\n- **Plural/Singular:** Strategic mix to capture both search patterns\n- **Hyphenation Variants:** \"water-proof\" vs \"waterproof\" vs \"water proof\"\n- **Abbreviation Coverage:** \"BPA\" and \"BPA free\" and \"BPA-free\"\n\n**Intent-Based Optimization:**\n```\nSearch Intent Mapping:\n├── Purchase Intent (40% of keywords)\n│   ├── \"buy [product]\"\n│   ├── \"best [product]\" \n│   └── \"[product] reviews\"\n├── Research Intent (35% of keywords)\n│   ├── \"[product] features\"\n│   ├── \"how to [use case]\"\n│   └── \"[product] comparison\"\n└── Problem-Solution (25% of keywords)\n    ├── \"solve [problem]\"\n    ├── \"[problem] solution\"\n    └── \"eliminate [pain point]\"\n```\n\n### Category-Specific Optimization Strategies\n\n**Electronics & Technology:**\n- **Technical Specifications:** Include key specs and compatibility terms\n- **Brand Compatibility:** \"compatible with [major brands]\" where relevant\n- **Version Numbers:** Current and previous version terms for broader reach\n- **Use Case Keywords:** \"for gaming\", \"for work\", \"for home\" applications\n\n**Home & Kitchen:**\n- **Material Keywords:** \"stainless steel\", \"bamboo\", \"ceramic\", \"silicone\"\n- **Size Variations:** \"large\", \"small\", \"compact\", \"mini\", specific dimensions\n- **Style Keywords:** \"modern\", \"rustic\", \"contemporary\", design aesthetics\n- **Care Instructions:** \"dishwasher safe\", \"easy clean\", \"non-stick\"\n\n**Health & Beauty:**\n- **Ingredient Keywords:** Key active ingredients and natural/organic terms\n- **Skin Type Keywords:** \"sensitive skin\", \"all skin types\", \"oily\", \"dry\"\n- **Benefit Keywords:** \"anti-aging\", \"moisturizing\", \"brightening\"\n- **Safety Keywords:** \"paraben free\", \"cruelty free\", \"hypoallergenic\"\n\n**Sports & Outdoors:**\n- **Activity Keywords:** Specific sports and activities where product is used\n- **Skill Level:** \"beginner\", \"professional\", \"intermediate\", \"expert\"\n- **Condition Keywords:** \"waterproof\", \"weather resistant\", \"durable\"\n- **Size/Fit Keywords:** Size ranges and fit descriptions for apparel/equipment\n\n### Performance Tracking & Measurement Framework\n\n**Search Visibility Metrics:**\n\n**Pre-Optimization Baseline:**\n- **Indexed Keywords:** [X] of [Y] target keywords showing in search\n- **Average Ranking Position:** [X] for core keywords\n- **Search Impression Share:** [X]% of available impressions captured\n- **Organic Traffic:** [X] clicks from organic search per month\n\n**Post-Optimization Targets:**\n- **Keyword Indexing Improvement:** +[X]% more keywords indexed\n- **Ranking Position Goals:** Top 3 for [X] keywords, Top 10 for [Y] keywords\n- **Impression Share Growth:** +[X]% increase in search visibility\n- **Traffic Growth Target:** +[X]% increase in organic clicks\n\n**Tracking & Monitoring System:**\n\n**Daily Monitoring","tagline":"Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. 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Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"nexscope-ai-amazon-backend-keywords\",\"task\":\"Install amazon-backend-keywords\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"amazon-backend-keywords\" as a Claude Code skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-backend-keywords. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"nexscope-ai-amazon-backend-keywords\",\"task\":\"Install amazon-backend-keywords\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"amazon-backend-keywords\" from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-backend-keywords into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"nexscope-ai-amazon-backend-keywords\",\"task\":\"Install amazon-backend-keywords\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/nexscope-ai-amazon-backend-keywords/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/nexscope-ai-amazon-backend-keywords"},"trust":{"score":81,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"622 GitHub stars","repoActivity":"622 stars, 100 forks","lastPushed":"13d since push","license":"MIT","repository":"https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-backend-keywords","install":"npx skills add nexscope-ai/Amazon-Skills --skill amazon-backend-keywords","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":84,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":75,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"13d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use amazon-backend-keywords in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 81/100 Strong shortlist","Audit: 84/100 Needs review","Safety: 60/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"nexscope-ai-amazon-backend-keywords (amazon-backend-keywords)","install_command":"npx skills add nexscope-ai/Amazon-Skills --skill amazon-backend-keywords","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"nexscope-ai-amazon-backend-keywords","task":"Use amazon-backend-keywords in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/nexscope-ai-amazon-backend-keywords","api":"https://www.openagentskill.com/api/agent/skills/nexscope-ai-amazon-backend-keywords","audit":"https://www.openagentskill.com/skills/nexscope-ai-amazon-backend-keywords/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=nexscope-ai-amazon-backend-keywords&task=Use%20amazon-backend-keywords%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20amazon-backend-keywords%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20amazon-backend-keywords%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/nexscope-ai-amazon-backend-keywords/install","manifest":"https://www.openagentskill.com/api/registry/manifest/nexscope-ai-amazon-backend-keywords"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"sports-analytics","title":"Sports analytics"},{"slug":"marketing-growth","title":"Marketing and growth"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add nexscope-ai/Amazon-Skills --skill amazon-backend-keywords","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":622,"starsLabel":"622","forks":100,"license":"MIT","qualityScore":75,"trustScore":81,"auditScore":84},"maintenance":{"status":"fresh","label":"13d since push","daysSincePush":13,"lastPushedAt":"2026-08-26T08:10:08+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Needs review"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":84,"risk_level":"needs_review","risk_label":"Needs review","quality_score":75,"trust_score":81,"maintenance_score":100,"security_score":85,"install_score":92,"warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"quality_signals":{"model":"v2","star_score":19.56,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"},{"slug":"marketing-growth","title":"Marketing and growth","url":"https://www.openagentskill.com/use-cases/marketing-growth"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add nexscope-ai/Amazon-Skills --skill amazon-backend-keywords","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add nexscope-ai-amazon-backend-keywords","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"amazon-backend-keywords\" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-backend-keywords. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"nexscope-ai-amazon-backend-keywords\",\"task\":\"Install amazon-backend-keywords\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"amazon-backend-keywords\" as a Claude Code skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-backend-keywords. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"nexscope-ai-amazon-backend-keywords\",\"task\":\"Install amazon-backend-keywords\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"amazon-backend-keywords\" from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-backend-keywords into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"nexscope-ai-amazon-backend-keywords\",\"task\":\"Install amazon-backend-keywords\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-backend-keywords","github_repo":"nexscope-ai/Amazon-Skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/nexscope-ai-amazon-backend-keywords","repository":"https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-backend-keywords","api":"/api/agent/skills/nexscope-ai-amazon-backend-keywords","install_api":"/api/skills/nexscope-ai-amazon-backend-keywords/install"},"meta":{"created_at":"2026-09-03T02:40:12.909987+00:00","updated_at":"2026-09-03T02:40:13.011802+00:00","agent_friendly":true}}