Creator · nexscope-ai
Last updated · Sep 3, 2026
Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals
Creator · nexscope-ai
Last updated · Sep 3, 2026
Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals
Creator · nexscope-ai
Last updated · Sep 3, 2026
Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals
Creator · nexscope-ai
Last updated · Sep 3, 2026
Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals
Sandbox only
Install targets
Codex install prompt
Install the "amazon-deal-finder" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-deal-finder. 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 deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions. 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-deal-finder","task":"Install amazon-deal-finder","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.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Maintenance
fresh
10d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
622
75/100 Quality · 81/100 Trust
Coverage tags
Review 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.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
622 GitHub stars
Repo activity
622 stars, 100 forks
Maintenance
10d since push
License
MIT
Install
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finderDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/nexscope-ai-amazon-deal-finder/install
Agent should check
Copy prompt
Task: Use amazon-deal-finder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nexscope-ai-amazon-deal-finder/install
Install command: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/nexscope-ai-amazon-deal-finder/install
LLM text format
/api/skills/nexscope-ai-amazon-deal-finder/install?format=text
Find alternatives
/api/skills/search?q=amazon-deal-finder&limit=3
Agent prompt
Use amazon-deal-finder for this task. Review https://www.openagentskill.com/api/skills/nexscope-ai-amazon-deal-finder/install, then install with: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finderRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/nexscope-ai-amazon-deal-finder
LLM text
/api/registry/manifest/nexscope-ai-amazon-deal-finder?format=text
Install alias
/api/registry/install/nexscope-ai-amazon-deal-finder
Recommend
/api/registry/recommend?task=Use%20amazon-deal-finder%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Finance and quant
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO622 GitHub stars
Stars/forks activity
INFO622 stars, 100 forks; issue activity unavailable in current metadata
Recent maintenance
PASS10d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: amazon-deal-finder description: "Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions." metadata: {"nexscope":{"emoji":"⚡","category":"amazon"}} ---
# Amazon Deal Finder ⚡
Strategic deal planning and promotional optimization for Amazon sellers. Lightning Deals, coupons, and promotional ROI maximization.
## Installation
```bash npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder -g ```
## Usage Examples
**Deal strategy development:** ``` "Plan Lightning Deal strategy for Q4 - which products should I promote and what's the ROI potential?" ```
**Promotional campaign optimization:** ``` "Compare Lightning Deals vs Coupons vs Best Deals for my electronics category - which gives best ROI?" ```
**Deal timing and planning:** ``` "When should I run my Lightning Deal for kitchen products to maximize sales and minimize cannibalization?" ```
## Core Capabilities
### 1. Deal Type Analysis & Strategy Selection - Comprehensive deal type evaluation (Lightning Deals, Best Deals, Coupons, Prime Exclusive) - ROI analysis and profitability assessment for each promotional type - Deal eligibility assessment and qualification requirements analysis - Strategic timing and calendar planning for maximum impact
### 2. Product Selection & Optimization - Product suitability analysis for different deal types and promotional strategies - Inventory planning and stock level optimization for promotional periods - Pricing strategy development and discount level optimization - Competitive analysis and market positioning for promotional success
### 3. Performance Tracking & Campaign Management - Deal performance monitoring and real-time optimization strategies - Post-promotion analysis and long-term impact assessment - Campaign calendar development and cross-promotion coordination - ROI tracking and profitability analysis across all promotional activities
## How It Works
### Step 1: Deal Analysis & Strategic Planning *Comprehensive promotional opportunity assessment and strategy development*
Evaluate promotional opportunities and develop strategy: - Analyze available deal types and assess eligibility requirements for Lightning Deals, Best Deals, and coupon programs - Evaluate product portfolio for promotional suitability based on sales velocity, margins, and competitive positioning - Calculate ROI potential and profitability impact for different promotional strategies and discount levels - Develop strategic promotional calendar aligned with seasonal trends, competitive landscape, and business objectives
### Step 2: Campaign Development & Optimization *Detailed promotional campaign creation and execution planning*
Design and optimize promotional campaigns: - Select optimal products for each deal type based on performance potential and strategic objectives - Determine appropriate discount levels and promotional duration for maximum ROI and market impact - Plan inventory requirements and fulfillment strategy to support promotional demand spikes - Coordinate with advertising campaigns and other marketing initiatives for integrated promotional approach
### Step 3: Execution & Performance Monitoring *Campaign launch and real-time optimization with performance tracking*
Execute and monitor promotional campaigns: - Launch deal campaigns with proper setup and monitoring systems for real-time performance tracking - Monitor key performance indicators including conversion rates, sales velocity, and profitability metrics - Implement real-time optimizations and adjustments based on campaign performance and competitive responses - Conduct post-campaign analysis and extract insights for future promotional strategy improvement
## Output Format
``` ## Amazon Deal Strategy & Campaign Plan **Seller:** [Seller Name] | **Planning Period:** [Timeframe] | **Budget:** $[Amount] | **Categories:** [Product Categories]
### Deal Opportunity Analysis
**Available Deal Types Assessment:**
**Lightning Deals:** - **Eligibility Status:** ✅ Qualified / ⚠️ Conditional / ❌ Not Eligible - **Requirements Met:** [4+ star rating, sufficient inventory, FBA enrolled] - **Estimated Slots Available:** [X] deals per month in your categories - **Competition Level:** [High/Medium/Low] in your product categories - **Expected Performance:** [X]% conversion rate, [Y]x normal velocity
**Best Deals:** - **Eligibility Status:** ✅ Qualified / ⚠️ Conditional / ❌ Not Eligible - **Requirements:** [Brand Registry, 15%+ discount, competitive pricing] - **Category Fit:** [Excellent/Good/Fair] for your product mix - **Duration Options:** [7-day/14-day/30-day campaigns available] - **Expected Performance:** [X]% sales lift over campaign period
**Coupons:** - **Eligibility:** ✅ Available (all products eligible) - **Discount Range:** 5%-50% (recommend 10%-25% for your categories) - **Cost Structure:** [X]% of discount + $0.60 per redemption - **Targeting Options:** [All customers/Prime members/First-time buyers] - **Expected Performance:** [X]% redemption rate, [Y]% sales increase
**Prime Exclusive Discounts:** - **Eligibility:** ✅ Available for Prime members - **Discount Requirements:** Minimum 10% discount from regular price - **Prime Member Reach:** [X]% of your category shoppers are Prime members - **Incremental Benefit:** [Y]% higher conversion vs standard pricing
### Product Portfolio Analysis
**Deal Suitability Matrix:**
| Product | Current BSR | Profit Margin | Inventory | Lightning Deal | Best Deal | Coupon | Recommendation | |---------|-------------|---------------|-----------|----------------|-----------|--------|----------------| | [Product A] | #[X] | [Y]% | [Z] units | ✅ High Potential | ✅ Good Fit | ✅ Always On | Lightning Deal | | [Product B] | #[X] | [Y]% | [Z] units | ⚠️ Margin Risk | ✅ Good Fit | ✅ Test | Best Deal | | [Product C] | #[X] | [Y]% | [Z] units | ❌ Poor BSR | ❌ Low Margin | ✅ Low Risk | Coupon Only |
**Priority Product Selection:**
**Tier 1: Lightning Deal Candidates (Top Revenue Impact)** - **[Product Name A]**: [Current sales, margin, inventory analysis] - **Deal Potential:** [X]% discount → [Y]x velocity increase → $[Z] additional revenue - **ROI Projection:** $[Investment] → $[Return] ([X]% ROI) - **Risk Factors:** [Inventory, cannibalization, competitor response]
**Tier 2: Best Deal Candidates (Sustained Growth)** - **[Product Name B]**: [Performance analysis and deal suitability] - **Campaign Strategy:** [Discount level, duration, targeting approach] - **Expected Outcomes:** [Sales lift, ranking improvement, long-term benefits]
**Tier 3: Coupon Candidates (Conversion Optimization)** - **[Product Name C]**: [Conversion improvement potential] - **Coupon Strategy:** [Discount %, targeting, duration, stacking options] - **Performance Goals:** [Redemption rate, conversion lift, customer acquisition]
### Deal ROI Analysis & Projections
**Lightning Deal ROI Calculator:**
**Product Example: [Product Name]** ``` Base Metrics: - Regular Price: $[Amount] - Regular Daily Sales: [X] units - Cost per Unit: $[Amount] - Regular Profit Margin: [X]%
Deal Configuration: - Deal Price: $[Amount] ([X]% discount) - Deal Duration: [X] hours - Expected Velocity: [X]x normal (based on category data)
Financial Projection: Revenue: - Deal Period Sales: [X] units × $[Deal Price] = $[Amount] - Post-Deal Boost (7 days): [Y] units × $[Regular Price] = $[Amount] - Total Additional Revenue: $[Amount]
Costs: - Reduced Margin: ([Regular Margin] - [Deal Margin]) × [Deal Units] = $[Amount] - Lightning Deal Fee: $150 - Additional FBA Fees: $[Amount] (higher velocity impact) - Total Deal Investment: $[Amount]
ROI Analysis: - Net Additional Profit: $[Revenue] - $[Investment] = $[Amount] - ROI Percentage: [X]% return on deal investment - Payback Period: [X] days to recover investment ```
### Seasonal Deal Calendar & Strategy
**Q4 Holiday Strategy (Oct-Dec):**
**October:** - **Early Bird Deals:** Launch Best Deals for holiday gift categories - **Prime Early Access:** Participate in Prime exclusive events - **Inventory Prep:** Build stock for November/December promotions
**November:** - **Black Friday Week:** Lightning Deals on top 3 products - **Cyber Monday:** Coordinated coupon campaign across catalog - **Pre-Holiday Push:** Sustained Best Deals through November
**December:** - **Last-Minute Gifting:** Lightning Deals on fast-shipping items - **Year-End Clearance:** Coupons on slow-moving inventory - **Prime Shipping Deadline:** Maximize Prime Exclusive offers
**2026 Annual Calendar:** | Month | Primary Strategy | Deal Types | Focus Products | Expected ROI | |-------|------------------|------------|----------------|--------------| | Jan | Clearance & New Year | Coupons + Best Deals | Slow movers + Health | [X]% | | Feb | Valentine's Prep | Lightning Deals | Gift categories | [X]% | | Mar | Spring Launch | Best Deals | Seasonal products | [X]% | | Apr | Easter/Spring | Coupons | Holiday-related | [X]% | | May | Mother's Day | Lightning Deals | Gift items | [X]% | | Jun | Father's Day + Summer | Lightning + Coupons | Outdoor/gift | [X]% | | Jul | Prime Day | Lightning Deals | Top performers | [X]% | | Aug | Back-to-School | Best Deals | Education/office | [X]% | | Sep | Fall Launch | Coupons | New arrivals | [X]% | | Oct | Holiday Prep | Best Deals | Gift categories | [X]% | | Nov | Black Friday/Cyber Monday | Lightning Deals | Bestsellers | [X]% | | Dec | Holiday Peak | All types | Full catalog | [X]% |
### Competitive Deal Intelligence
**Competitor Deal Analysis:** | Competitor | Deal Frequency | Typical Discount | Deal Types Used | Success Indicators | |------------|----------------|------------------|-----------------|-------------------| | [Competitor A] | [X]/month | [Y]% average | Lightning + Coupons | [High sales velocity] | | [Competitor B] | [X]/month | [Y]% average | Best Deals focus | [Sustained ranking] | | [Competitor C] | [X]/month | [Y]% average | Coupon heavy | [High redemption] |
**Market Gap Analysis:** - **Underserved Deal Windows:** [Time periods with limited competitor activity] - **Pricing Opportunities:** [Discount levels not being used by competitors] - **Deal Type Gaps:** [Promotional strategies competitors aren't leveraging] - **Category Opportunities:** [Subcategories with limited deal activity]
### Deal Performance Monitoring
**Real-time Metrics Dashboard:**
**During Deal Period:** - **Sales Velocity:** [Current rate vs projected rate] - **Conversion Rate:** [Deal conversion vs regular conversion] - **Buy Box Status:** [Maintain Buy Box during deal period] - **Inventory Levels:** [Units remaining vs time remaining] - **Competitor Response:** [Price changes or counter-deals]
**Key Performance Indicators:** | Metric | Target | Current | Status | |--------|---------|---------|--------| | Units Sold | [X] units | [Y] units | ✅/⚠️/❌ | | Conversion Rate | [X]% | [Y]% | ✅/⚠️/❌ | | Revenue | $[Amount] | $[Amount] | ✅/⚠️/❌ | | ROI | [X]% | [Y]% | ✅/⚠️/❌ |
### Post-Deal Impact Analysis
**Immediate Impact (Deal Period + 7 days):** - **Total Units Sold:** [X] units ([Y]x normal velocity) - **Revenue Generated:** $[Amount] ([Z]% above baseline) - **Profit Impact:** $[Amount] net profit after all costs - **Ranking Improvement:** BSR improved from #[X] to #[Y]
**Long-term Benefits (30+ days post-deal):** - **Sustained Sales Lift:** [X]% higher baseline sales vs pre-deal - **Review Generation:** [Y] additional reviews (improve conversion) - **Organic Ranking:** Improved positioning in search results - **Brand Awareness:** [Estimated reach and impression impact]
**Cannibalization Analysis:** - **Other Product Impact:** [Effect on non-deal products in catalog] - **Ma
Source provenance
Decision snapshot
622 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for amazon-deal-finder, ready for a manual X post.
amazon-deal-finder: Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coup... 622 stars https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=x
Listing + install path for amazon-deal-finder: https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=x Install: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to nexscope-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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@nexscope-ai
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24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "amazon-deal-finder" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-deal-finder. 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 deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions. 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-deal-finder","task":"Install amazon-deal-finder","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.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Maintenance
fresh
10d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
622
75/100 Quality · 81/100 Trust
Coverage tags
Review 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.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
622 GitHub stars
Repo activity
622 stars, 100 forks
Maintenance
10d since push
License
MIT
Install
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finderDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/nexscope-ai-amazon-deal-finder/install
Agent should check
Copy prompt
Task: Use amazon-deal-finder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nexscope-ai-amazon-deal-finder/install
Install command: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/nexscope-ai-amazon-deal-finder/install
LLM text format
/api/skills/nexscope-ai-amazon-deal-finder/install?format=text
Find alternatives
/api/skills/search?q=amazon-deal-finder&limit=3
Agent prompt
Use amazon-deal-finder for this task. Review https://www.openagentskill.com/api/skills/nexscope-ai-amazon-deal-finder/install, then install with: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finderRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/nexscope-ai-amazon-deal-finder
LLM text
/api/registry/manifest/nexscope-ai-amazon-deal-finder?format=text
Install alias
/api/registry/install/nexscope-ai-amazon-deal-finder
Recommend
/api/registry/recommend?task=Use%20amazon-deal-finder%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Finance and quant
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO622 GitHub stars
Stars/forks activity
INFO622 stars, 100 forks; issue activity unavailable in current metadata
Recent maintenance
PASS10d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
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--- name: amazon-deal-finder description: "Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions." metadata: {"nexscope":{"emoji":"⚡","category":"amazon"}} ---
# Amazon Deal Finder ⚡
Strategic deal planning and promotional optimization for Amazon sellers. Lightning Deals, coupons, and promotional ROI maximization.
## Installation
```bash npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder -g ```
## Usage Examples
**Deal strategy development:** ``` "Plan Lightning Deal strategy for Q4 - which products should I promote and what's the ROI potential?" ```
**Promotional campaign optimization:** ``` "Compare Lightning Deals vs Coupons vs Best Deals for my electronics category - which gives best ROI?" ```
**Deal timing and planning:** ``` "When should I run my Lightning Deal for kitchen products to maximize sales and minimize cannibalization?" ```
## Core Capabilities
### 1. Deal Type Analysis & Strategy Selection - Comprehensive deal type evaluation (Lightning Deals, Best Deals, Coupons, Prime Exclusive) - ROI analysis and profitability assessment for each promotional type - Deal eligibility assessment and qualification requirements analysis - Strategic timing and calendar planning for maximum impact
### 2. Product Selection & Optimization - Product suitability analysis for different deal types and promotional strategies - Inventory planning and stock level optimization for promotional periods - Pricing strategy development and discount level optimization - Competitive analysis and market positioning for promotional success
### 3. Performance Tracking & Campaign Management - Deal performance monitoring and real-time optimization strategies - Post-promotion analysis and long-term impact assessment - Campaign calendar development and cross-promotion coordination - ROI tracking and profitability analysis across all promotional activities
## How It Works
### Step 1: Deal Analysis & Strategic Planning *Comprehensive promotional opportunity assessment and strategy development*
Evaluate promotional opportunities and develop strategy: - Analyze available deal types and assess eligibility requirements for Lightning Deals, Best Deals, and coupon programs - Evaluate product portfolio for promotional suitability based on sales velocity, margins, and competitive positioning - Calculate ROI potential and profitability impact for different promotional strategies and discount levels - Develop strategic promotional calendar aligned with seasonal trends, competitive landscape, and business objectives
### Step 2: Campaign Development & Optimization *Detailed promotional campaign creation and execution planning*
Design and optimize promotional campaigns: - Select optimal products for each deal type based on performance potential and strategic objectives - Determine appropriate discount levels and promotional duration for maximum ROI and market impact - Plan inventory requirements and fulfillment strategy to support promotional demand spikes - Coordinate with advertising campaigns and other marketing initiatives for integrated promotional approach
### Step 3: Execution & Performance Monitoring *Campaign launch and real-time optimization with performance tracking*
Execute and monitor promotional campaigns: - Launch deal campaigns with proper setup and monitoring systems for real-time performance tracking - Monitor key performance indicators including conversion rates, sales velocity, and profitability metrics - Implement real-time optimizations and adjustments based on campaign performance and competitive responses - Conduct post-campaign analysis and extract insights for future promotional strategy improvement
## Output Format
``` ## Amazon Deal Strategy & Campaign Plan **Seller:** [Seller Name] | **Planning Period:** [Timeframe] | **Budget:** $[Amount] | **Categories:** [Product Categories]
### Deal Opportunity Analysis
**Available Deal Types Assessment:**
**Lightning Deals:** - **Eligibility Status:** ✅ Qualified / ⚠️ Conditional / ❌ Not Eligible - **Requirements Met:** [4+ star rating, sufficient inventory, FBA enrolled] - **Estimated Slots Available:** [X] deals per month in your categories - **Competition Level:** [High/Medium/Low] in your product categories - **Expected Performance:** [X]% conversion rate, [Y]x normal velocity
**Best Deals:** - **Eligibility Status:** ✅ Qualified / ⚠️ Conditional / ❌ Not Eligible - **Requirements:** [Brand Registry, 15%+ discount, competitive pricing] - **Category Fit:** [Excellent/Good/Fair] for your product mix - **Duration Options:** [7-day/14-day/30-day campaigns available] - **Expected Performance:** [X]% sales lift over campaign period
**Coupons:** - **Eligibility:** ✅ Available (all products eligible) - **Discount Range:** 5%-50% (recommend 10%-25% for your categories) - **Cost Structure:** [X]% of discount + $0.60 per redemption - **Targeting Options:** [All customers/Prime members/First-time buyers] - **Expected Performance:** [X]% redemption rate, [Y]% sales increase
**Prime Exclusive Discounts:** - **Eligibility:** ✅ Available for Prime members - **Discount Requirements:** Minimum 10% discount from regular price - **Prime Member Reach:** [X]% of your category shoppers are Prime members - **Incremental Benefit:** [Y]% higher conversion vs standard pricing
### Product Portfolio Analysis
**Deal Suitability Matrix:**
| Product | Current BSR | Profit Margin | Inventory | Lightning Deal | Best Deal | Coupon | Recommendation | |---------|-------------|---------------|-----------|----------------|-----------|--------|----------------| | [Product A] | #[X] | [Y]% | [Z] units | ✅ High Potential | ✅ Good Fit | ✅ Always On | Lightning Deal | | [Product B] | #[X] | [Y]% | [Z] units | ⚠️ Margin Risk | ✅ Good Fit | ✅ Test | Best Deal | | [Product C] | #[X] | [Y]% | [Z] units | ❌ Poor BSR | ❌ Low Margin | ✅ Low Risk | Coupon Only |
**Priority Product Selection:**
**Tier 1: Lightning Deal Candidates (Top Revenue Impact)** - **[Product Name A]**: [Current sales, margin, inventory analysis] - **Deal Potential:** [X]% discount → [Y]x velocity increase → $[Z] additional revenue - **ROI Projection:** $[Investment] → $[Return] ([X]% ROI) - **Risk Factors:** [Inventory, cannibalization, competitor response]
**Tier 2: Best Deal Candidates (Sustained Growth)** - **[Product Name B]**: [Performance analysis and deal suitability] - **Campaign Strategy:** [Discount level, duration, targeting approach] - **Expected Outcomes:** [Sales lift, ranking improvement, long-term benefits]
**Tier 3: Coupon Candidates (Conversion Optimization)** - **[Product Name C]**: [Conversion improvement potential] - **Coupon Strategy:** [Discount %, targeting, duration, stacking options] - **Performance Goals:** [Redemption rate, conversion lift, customer acquisition]
### Deal ROI Analysis & Projections
**Lightning Deal ROI Calculator:**
**Product Example: [Product Name]** ``` Base Metrics: - Regular Price: $[Amount] - Regular Daily Sales: [X] units - Cost per Unit: $[Amount] - Regular Profit Margin: [X]%
Deal Configuration: - Deal Price: $[Amount] ([X]% discount) - Deal Duration: [X] hours - Expected Velocity: [X]x normal (based on category data)
Financial Projection: Revenue: - Deal Period Sales: [X] units × $[Deal Price] = $[Amount] - Post-Deal Boost (7 days): [Y] units × $[Regular Price] = $[Amount] - Total Additional Revenue: $[Amount]
Costs: - Reduced Margin: ([Regular Margin] - [Deal Margin]) × [Deal Units] = $[Amount] - Lightning Deal Fee: $150 - Additional FBA Fees: $[Amount] (higher velocity impact) - Total Deal Investment: $[Amount]
ROI Analysis: - Net Additional Profit: $[Revenue] - $[Investment] = $[Amount] - ROI Percentage: [X]% return on deal investment - Payback Period: [X] days to recover investment ```
### Seasonal Deal Calendar & Strategy
**Q4 Holiday Strategy (Oct-Dec):**
**October:** - **Early Bird Deals:** Launch Best Deals for holiday gift categories - **Prime Early Access:** Participate in Prime exclusive events - **Inventory Prep:** Build stock for November/December promotions
**November:** - **Black Friday Week:** Lightning Deals on top 3 products - **Cyber Monday:** Coordinated coupon campaign across catalog - **Pre-Holiday Push:** Sustained Best Deals through November
**December:** - **Last-Minute Gifting:** Lightning Deals on fast-shipping items - **Year-End Clearance:** Coupons on slow-moving inventory - **Prime Shipping Deadline:** Maximize Prime Exclusive offers
**2026 Annual Calendar:** | Month | Primary Strategy | Deal Types | Focus Products | Expected ROI | |-------|------------------|------------|----------------|--------------| | Jan | Clearance & New Year | Coupons + Best Deals | Slow movers + Health | [X]% | | Feb | Valentine's Prep | Lightning Deals | Gift categories | [X]% | | Mar | Spring Launch | Best Deals | Seasonal products | [X]% | | Apr | Easter/Spring | Coupons | Holiday-related | [X]% | | May | Mother's Day | Lightning Deals | Gift items | [X]% | | Jun | Father's Day + Summer | Lightning + Coupons | Outdoor/gift | [X]% | | Jul | Prime Day | Lightning Deals | Top performers | [X]% | | Aug | Back-to-School | Best Deals | Education/office | [X]% | | Sep | Fall Launch | Coupons | New arrivals | [X]% | | Oct | Holiday Prep | Best Deals | Gift categories | [X]% | | Nov | Black Friday/Cyber Monday | Lightning Deals | Bestsellers | [X]% | | Dec | Holiday Peak | All types | Full catalog | [X]% |
### Competitive Deal Intelligence
**Competitor Deal Analysis:** | Competitor | Deal Frequency | Typical Discount | Deal Types Used | Success Indicators | |------------|----------------|------------------|-----------------|-------------------| | [Competitor A] | [X]/month | [Y]% average | Lightning + Coupons | [High sales velocity] | | [Competitor B] | [X]/month | [Y]% average | Best Deals focus | [Sustained ranking] | | [Competitor C] | [X]/month | [Y]% average | Coupon heavy | [High redemption] |
**Market Gap Analysis:** - **Underserved Deal Windows:** [Time periods with limited competitor activity] - **Pricing Opportunities:** [Discount levels not being used by competitors] - **Deal Type Gaps:** [Promotional strategies competitors aren't leveraging] - **Category Opportunities:** [Subcategories with limited deal activity]
### Deal Performance Monitoring
**Real-time Metrics Dashboard:**
**During Deal Period:** - **Sales Velocity:** [Current rate vs projected rate] - **Conversion Rate:** [Deal conversion vs regular conversion] - **Buy Box Status:** [Maintain Buy Box during deal period] - **Inventory Levels:** [Units remaining vs time remaining] - **Competitor Response:** [Price changes or counter-deals]
**Key Performance Indicators:** | Metric | Target | Current | Status | |--------|---------|---------|--------| | Units Sold | [X] units | [Y] units | ✅/⚠️/❌ | | Conversion Rate | [X]% | [Y]% | ✅/⚠️/❌ | | Revenue | $[Amount] | $[Amount] | ✅/⚠️/❌ | | ROI | [X]% | [Y]% | ✅/⚠️/❌ |
### Post-Deal Impact Analysis
**Immediate Impact (Deal Period + 7 days):** - **Total Units Sold:** [X] units ([Y]x normal velocity) - **Revenue Generated:** $[Amount] ([Z]% above baseline) - **Profit Impact:** $[Amount] net profit after all costs - **Ranking Improvement:** BSR improved from #[X] to #[Y]
**Long-term Benefits (30+ days post-deal):** - **Sustained Sales Lift:** [X]% higher baseline sales vs pre-deal - **Review Generation:** [Y] additional reviews (improve conversion) - **Organic Ranking:** Improved positioning in search results - **Brand Awareness:** [Estimated reach and impression impact]
**Cannibalization Analysis:** - **Other Product Impact:** [Effect on non-deal products in catalog] - **Ma
Source provenance
Decision snapshot
622 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for amazon-deal-finder, ready for a manual X post.
amazon-deal-finder: Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coup... 622 stars https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=x
Listing + install path for amazon-deal-finder: https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=x Install: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
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@nexscope-ai
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Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
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Install targets
Codex install prompt
Install the "amazon-deal-finder" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-deal-finder. 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 deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions. 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-deal-finder","task":"Install amazon-deal-finder","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.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Maintenance
fresh
10d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
622
75/100 Quality · 81/100 Trust
Coverage tags
Review 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.
Agent adoption scorecard
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Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
622 GitHub stars
Repo activity
622 stars, 100 forks
Maintenance
10d since push
License
MIT
Install
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
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Outcome loop
Install command
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finderDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
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Open JSON
/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/nexscope-ai-amazon-deal-finder/install
Agent should check
Copy prompt
Task: Use amazon-deal-finder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nexscope-ai-amazon-deal-finder/install
Install command: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/nexscope-ai-amazon-deal-finder/install
LLM text format
/api/skills/nexscope-ai-amazon-deal-finder/install?format=text
Find alternatives
/api/skills/search?q=amazon-deal-finder&limit=3
Agent prompt
Use amazon-deal-finder for this task. Review https://www.openagentskill.com/api/skills/nexscope-ai-amazon-deal-finder/install, then install with: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finderRegistry metadata
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Manifest
/api/registry/manifest/nexscope-ai-amazon-deal-finder
LLM text
/api/registry/manifest/nexscope-ai-amazon-deal-finder?format=text
Install alias
/api/registry/install/nexscope-ai-amazon-deal-finder
Recommend
/api/registry/recommend?task=Use%20amazon-deal-finder%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Finance and quant
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO622 GitHub stars
Stars/forks activity
INFO622 stars, 100 forks; issue activity unavailable in current metadata
Recent maintenance
PASS10d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Analyze markets
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Workflow fit
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Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
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Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: amazon-deal-finder description: "Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions." metadata: {"nexscope":{"emoji":"⚡","category":"amazon"}} ---
# Amazon Deal Finder ⚡
Strategic deal planning and promotional optimization for Amazon sellers. Lightning Deals, coupons, and promotional ROI maximization.
## Installation
```bash npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder -g ```
## Usage Examples
**Deal strategy development:** ``` "Plan Lightning Deal strategy for Q4 - which products should I promote and what's the ROI potential?" ```
**Promotional campaign optimization:** ``` "Compare Lightning Deals vs Coupons vs Best Deals for my electronics category - which gives best ROI?" ```
**Deal timing and planning:** ``` "When should I run my Lightning Deal for kitchen products to maximize sales and minimize cannibalization?" ```
## Core Capabilities
### 1. Deal Type Analysis & Strategy Selection - Comprehensive deal type evaluation (Lightning Deals, Best Deals, Coupons, Prime Exclusive) - ROI analysis and profitability assessment for each promotional type - Deal eligibility assessment and qualification requirements analysis - Strategic timing and calendar planning for maximum impact
### 2. Product Selection & Optimization - Product suitability analysis for different deal types and promotional strategies - Inventory planning and stock level optimization for promotional periods - Pricing strategy development and discount level optimization - Competitive analysis and market positioning for promotional success
### 3. Performance Tracking & Campaign Management - Deal performance monitoring and real-time optimization strategies - Post-promotion analysis and long-term impact assessment - Campaign calendar development and cross-promotion coordination - ROI tracking and profitability analysis across all promotional activities
## How It Works
### Step 1: Deal Analysis & Strategic Planning *Comprehensive promotional opportunity assessment and strategy development*
Evaluate promotional opportunities and develop strategy: - Analyze available deal types and assess eligibility requirements for Lightning Deals, Best Deals, and coupon programs - Evaluate product portfolio for promotional suitability based on sales velocity, margins, and competitive positioning - Calculate ROI potential and profitability impact for different promotional strategies and discount levels - Develop strategic promotional calendar aligned with seasonal trends, competitive landscape, and business objectives
### Step 2: Campaign Development & Optimization *Detailed promotional campaign creation and execution planning*
Design and optimize promotional campaigns: - Select optimal products for each deal type based on performance potential and strategic objectives - Determine appropriate discount levels and promotional duration for maximum ROI and market impact - Plan inventory requirements and fulfillment strategy to support promotional demand spikes - Coordinate with advertising campaigns and other marketing initiatives for integrated promotional approach
### Step 3: Execution & Performance Monitoring *Campaign launch and real-time optimization with performance tracking*
Execute and monitor promotional campaigns: - Launch deal campaigns with proper setup and monitoring systems for real-time performance tracking - Monitor key performance indicators including conversion rates, sales velocity, and profitability metrics - Implement real-time optimizations and adjustments based on campaign performance and competitive responses - Conduct post-campaign analysis and extract insights for future promotional strategy improvement
## Output Format
``` ## Amazon Deal Strategy & Campaign Plan **Seller:** [Seller Name] | **Planning Period:** [Timeframe] | **Budget:** $[Amount] | **Categories:** [Product Categories]
### Deal Opportunity Analysis
**Available Deal Types Assessment:**
**Lightning Deals:** - **Eligibility Status:** ✅ Qualified / ⚠️ Conditional / ❌ Not Eligible - **Requirements Met:** [4+ star rating, sufficient inventory, FBA enrolled] - **Estimated Slots Available:** [X] deals per month in your categories - **Competition Level:** [High/Medium/Low] in your product categories - **Expected Performance:** [X]% conversion rate, [Y]x normal velocity
**Best Deals:** - **Eligibility Status:** ✅ Qualified / ⚠️ Conditional / ❌ Not Eligible - **Requirements:** [Brand Registry, 15%+ discount, competitive pricing] - **Category Fit:** [Excellent/Good/Fair] for your product mix - **Duration Options:** [7-day/14-day/30-day campaigns available] - **Expected Performance:** [X]% sales lift over campaign period
**Coupons:** - **Eligibility:** ✅ Available (all products eligible) - **Discount Range:** 5%-50% (recommend 10%-25% for your categories) - **Cost Structure:** [X]% of discount + $0.60 per redemption - **Targeting Options:** [All customers/Prime members/First-time buyers] - **Expected Performance:** [X]% redemption rate, [Y]% sales increase
**Prime Exclusive Discounts:** - **Eligibility:** ✅ Available for Prime members - **Discount Requirements:** Minimum 10% discount from regular price - **Prime Member Reach:** [X]% of your category shoppers are Prime members - **Incremental Benefit:** [Y]% higher conversion vs standard pricing
### Product Portfolio Analysis
**Deal Suitability Matrix:**
| Product | Current BSR | Profit Margin | Inventory | Lightning Deal | Best Deal | Coupon | Recommendation | |---------|-------------|---------------|-----------|----------------|-----------|--------|----------------| | [Product A] | #[X] | [Y]% | [Z] units | ✅ High Potential | ✅ Good Fit | ✅ Always On | Lightning Deal | | [Product B] | #[X] | [Y]% | [Z] units | ⚠️ Margin Risk | ✅ Good Fit | ✅ Test | Best Deal | | [Product C] | #[X] | [Y]% | [Z] units | ❌ Poor BSR | ❌ Low Margin | ✅ Low Risk | Coupon Only |
**Priority Product Selection:**
**Tier 1: Lightning Deal Candidates (Top Revenue Impact)** - **[Product Name A]**: [Current sales, margin, inventory analysis] - **Deal Potential:** [X]% discount → [Y]x velocity increase → $[Z] additional revenue - **ROI Projection:** $[Investment] → $[Return] ([X]% ROI) - **Risk Factors:** [Inventory, cannibalization, competitor response]
**Tier 2: Best Deal Candidates (Sustained Growth)** - **[Product Name B]**: [Performance analysis and deal suitability] - **Campaign Strategy:** [Discount level, duration, targeting approach] - **Expected Outcomes:** [Sales lift, ranking improvement, long-term benefits]
**Tier 3: Coupon Candidates (Conversion Optimization)** - **[Product Name C]**: [Conversion improvement potential] - **Coupon Strategy:** [Discount %, targeting, duration, stacking options] - **Performance Goals:** [Redemption rate, conversion lift, customer acquisition]
### Deal ROI Analysis & Projections
**Lightning Deal ROI Calculator:**
**Product Example: [Product Name]** ``` Base Metrics: - Regular Price: $[Amount] - Regular Daily Sales: [X] units - Cost per Unit: $[Amount] - Regular Profit Margin: [X]%
Deal Configuration: - Deal Price: $[Amount] ([X]% discount) - Deal Duration: [X] hours - Expected Velocity: [X]x normal (based on category data)
Financial Projection: Revenue: - Deal Period Sales: [X] units × $[Deal Price] = $[Amount] - Post-Deal Boost (7 days): [Y] units × $[Regular Price] = $[Amount] - Total Additional Revenue: $[Amount]
Costs: - Reduced Margin: ([Regular Margin] - [Deal Margin]) × [Deal Units] = $[Amount] - Lightning Deal Fee: $150 - Additional FBA Fees: $[Amount] (higher velocity impact) - Total Deal Investment: $[Amount]
ROI Analysis: - Net Additional Profit: $[Revenue] - $[Investment] = $[Amount] - ROI Percentage: [X]% return on deal investment - Payback Period: [X] days to recover investment ```
### Seasonal Deal Calendar & Strategy
**Q4 Holiday Strategy (Oct-Dec):**
**October:** - **Early Bird Deals:** Launch Best Deals for holiday gift categories - **Prime Early Access:** Participate in Prime exclusive events - **Inventory Prep:** Build stock for November/December promotions
**November:** - **Black Friday Week:** Lightning Deals on top 3 products - **Cyber Monday:** Coordinated coupon campaign across catalog - **Pre-Holiday Push:** Sustained Best Deals through November
**December:** - **Last-Minute Gifting:** Lightning Deals on fast-shipping items - **Year-End Clearance:** Coupons on slow-moving inventory - **Prime Shipping Deadline:** Maximize Prime Exclusive offers
**2026 Annual Calendar:** | Month | Primary Strategy | Deal Types | Focus Products | Expected ROI | |-------|------------------|------------|----------------|--------------| | Jan | Clearance & New Year | Coupons + Best Deals | Slow movers + Health | [X]% | | Feb | Valentine's Prep | Lightning Deals | Gift categories | [X]% | | Mar | Spring Launch | Best Deals | Seasonal products | [X]% | | Apr | Easter/Spring | Coupons | Holiday-related | [X]% | | May | Mother's Day | Lightning Deals | Gift items | [X]% | | Jun | Father's Day + Summer | Lightning + Coupons | Outdoor/gift | [X]% | | Jul | Prime Day | Lightning Deals | Top performers | [X]% | | Aug | Back-to-School | Best Deals | Education/office | [X]% | | Sep | Fall Launch | Coupons | New arrivals | [X]% | | Oct | Holiday Prep | Best Deals | Gift categories | [X]% | | Nov | Black Friday/Cyber Monday | Lightning Deals | Bestsellers | [X]% | | Dec | Holiday Peak | All types | Full catalog | [X]% |
### Competitive Deal Intelligence
**Competitor Deal Analysis:** | Competitor | Deal Frequency | Typical Discount | Deal Types Used | Success Indicators | |------------|----------------|------------------|-----------------|-------------------| | [Competitor A] | [X]/month | [Y]% average | Lightning + Coupons | [High sales velocity] | | [Competitor B] | [X]/month | [Y]% average | Best Deals focus | [Sustained ranking] | | [Competitor C] | [X]/month | [Y]% average | Coupon heavy | [High redemption] |
**Market Gap Analysis:** - **Underserved Deal Windows:** [Time periods with limited competitor activity] - **Pricing Opportunities:** [Discount levels not being used by competitors] - **Deal Type Gaps:** [Promotional strategies competitors aren't leveraging] - **Category Opportunities:** [Subcategories with limited deal activity]
### Deal Performance Monitoring
**Real-time Metrics Dashboard:**
**During Deal Period:** - **Sales Velocity:** [Current rate vs projected rate] - **Conversion Rate:** [Deal conversion vs regular conversion] - **Buy Box Status:** [Maintain Buy Box during deal period] - **Inventory Levels:** [Units remaining vs time remaining] - **Competitor Response:** [Price changes or counter-deals]
**Key Performance Indicators:** | Metric | Target | Current | Status | |--------|---------|---------|--------| | Units Sold | [X] units | [Y] units | ✅/⚠️/❌ | | Conversion Rate | [X]% | [Y]% | ✅/⚠️/❌ | | Revenue | $[Amount] | $[Amount] | ✅/⚠️/❌ | | ROI | [X]% | [Y]% | ✅/⚠️/❌ |
### Post-Deal Impact Analysis
**Immediate Impact (Deal Period + 7 days):** - **Total Units Sold:** [X] units ([Y]x normal velocity) - **Revenue Generated:** $[Amount] ([Z]% above baseline) - **Profit Impact:** $[Amount] net profit after all costs - **Ranking Improvement:** BSR improved from #[X] to #[Y]
**Long-term Benefits (30+ days post-deal):** - **Sustained Sales Lift:** [X]% higher baseline sales vs pre-deal - **Review Generation:** [Y] additional reviews (improve conversion) - **Organic Ranking:** Improved positioning in search results - **Brand Awareness:** [Estimated reach and impression impact]
**Cannibalization Analysis:** - **Other Product Impact:** [Effect on non-deal products in catalog] - **Ma
Source provenance
Decision snapshot
622 GitHub stars
Audit
Install and adoption review
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Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for amazon-deal-finder, ready for a manual X post.
amazon-deal-finder: Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coup... 622 stars https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=x
Listing + install path for amazon-deal-finder: https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=x Install: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
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Install targets
Codex install prompt
Install the "amazon-deal-finder" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-deal-finder. 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 deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions. 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-deal-finder","task":"Install amazon-deal-finder","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.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Maintenance
fresh
10d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
622
75/100 Quality · 81/100 Trust
Coverage tags
Review 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.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
622 GitHub stars
Repo activity
622 stars, 100 forks
Maintenance
10d since push
License
MIT
Install
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
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Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finderDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/nexscope-ai-amazon-deal-finder/install
Agent should check
Copy prompt
Task: Use amazon-deal-finder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20amazon-deal-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nexscope-ai-amazon-deal-finder/install
Install command: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/nexscope-ai-amazon-deal-finder/install
LLM text format
/api/skills/nexscope-ai-amazon-deal-finder/install?format=text
Find alternatives
/api/skills/search?q=amazon-deal-finder&limit=3
Agent prompt
Use amazon-deal-finder for this task. Review https://www.openagentskill.com/api/skills/nexscope-ai-amazon-deal-finder/install, then install with: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finderRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/nexscope-ai-amazon-deal-finder
LLM text
/api/registry/manifest/nexscope-ai-amazon-deal-finder?format=text
Install alias
/api/registry/install/nexscope-ai-amazon-deal-finder
Recommend
/api/registry/recommend?task=Use%20amazon-deal-finder%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Finance and quant
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO622 GitHub stars
Stars/forks activity
INFO622 stars, 100 forks; issue activity unavailable in current metadata
Recent maintenance
PASS10d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: amazon-deal-finder description: "Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions." metadata: {"nexscope":{"emoji":"⚡","category":"amazon"}} ---
# Amazon Deal Finder ⚡
Strategic deal planning and promotional optimization for Amazon sellers. Lightning Deals, coupons, and promotional ROI maximization.
## Installation
```bash npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder -g ```
## Usage Examples
**Deal strategy development:** ``` "Plan Lightning Deal strategy for Q4 - which products should I promote and what's the ROI potential?" ```
**Promotional campaign optimization:** ``` "Compare Lightning Deals vs Coupons vs Best Deals for my electronics category - which gives best ROI?" ```
**Deal timing and planning:** ``` "When should I run my Lightning Deal for kitchen products to maximize sales and minimize cannibalization?" ```
## Core Capabilities
### 1. Deal Type Analysis & Strategy Selection - Comprehensive deal type evaluation (Lightning Deals, Best Deals, Coupons, Prime Exclusive) - ROI analysis and profitability assessment for each promotional type - Deal eligibility assessment and qualification requirements analysis - Strategic timing and calendar planning for maximum impact
### 2. Product Selection & Optimization - Product suitability analysis for different deal types and promotional strategies - Inventory planning and stock level optimization for promotional periods - Pricing strategy development and discount level optimization - Competitive analysis and market positioning for promotional success
### 3. Performance Tracking & Campaign Management - Deal performance monitoring and real-time optimization strategies - Post-promotion analysis and long-term impact assessment - Campaign calendar development and cross-promotion coordination - ROI tracking and profitability analysis across all promotional activities
## How It Works
### Step 1: Deal Analysis & Strategic Planning *Comprehensive promotional opportunity assessment and strategy development*
Evaluate promotional opportunities and develop strategy: - Analyze available deal types and assess eligibility requirements for Lightning Deals, Best Deals, and coupon programs - Evaluate product portfolio for promotional suitability based on sales velocity, margins, and competitive positioning - Calculate ROI potential and profitability impact for different promotional strategies and discount levels - Develop strategic promotional calendar aligned with seasonal trends, competitive landscape, and business objectives
### Step 2: Campaign Development & Optimization *Detailed promotional campaign creation and execution planning*
Design and optimize promotional campaigns: - Select optimal products for each deal type based on performance potential and strategic objectives - Determine appropriate discount levels and promotional duration for maximum ROI and market impact - Plan inventory requirements and fulfillment strategy to support promotional demand spikes - Coordinate with advertising campaigns and other marketing initiatives for integrated promotional approach
### Step 3: Execution & Performance Monitoring *Campaign launch and real-time optimization with performance tracking*
Execute and monitor promotional campaigns: - Launch deal campaigns with proper setup and monitoring systems for real-time performance tracking - Monitor key performance indicators including conversion rates, sales velocity, and profitability metrics - Implement real-time optimizations and adjustments based on campaign performance and competitive responses - Conduct post-campaign analysis and extract insights for future promotional strategy improvement
## Output Format
``` ## Amazon Deal Strategy & Campaign Plan **Seller:** [Seller Name] | **Planning Period:** [Timeframe] | **Budget:** $[Amount] | **Categories:** [Product Categories]
### Deal Opportunity Analysis
**Available Deal Types Assessment:**
**Lightning Deals:** - **Eligibility Status:** ✅ Qualified / ⚠️ Conditional / ❌ Not Eligible - **Requirements Met:** [4+ star rating, sufficient inventory, FBA enrolled] - **Estimated Slots Available:** [X] deals per month in your categories - **Competition Level:** [High/Medium/Low] in your product categories - **Expected Performance:** [X]% conversion rate, [Y]x normal velocity
**Best Deals:** - **Eligibility Status:** ✅ Qualified / ⚠️ Conditional / ❌ Not Eligible - **Requirements:** [Brand Registry, 15%+ discount, competitive pricing] - **Category Fit:** [Excellent/Good/Fair] for your product mix - **Duration Options:** [7-day/14-day/30-day campaigns available] - **Expected Performance:** [X]% sales lift over campaign period
**Coupons:** - **Eligibility:** ✅ Available (all products eligible) - **Discount Range:** 5%-50% (recommend 10%-25% for your categories) - **Cost Structure:** [X]% of discount + $0.60 per redemption - **Targeting Options:** [All customers/Prime members/First-time buyers] - **Expected Performance:** [X]% redemption rate, [Y]% sales increase
**Prime Exclusive Discounts:** - **Eligibility:** ✅ Available for Prime members - **Discount Requirements:** Minimum 10% discount from regular price - **Prime Member Reach:** [X]% of your category shoppers are Prime members - **Incremental Benefit:** [Y]% higher conversion vs standard pricing
### Product Portfolio Analysis
**Deal Suitability Matrix:**
| Product | Current BSR | Profit Margin | Inventory | Lightning Deal | Best Deal | Coupon | Recommendation | |---------|-------------|---------------|-----------|----------------|-----------|--------|----------------| | [Product A] | #[X] | [Y]% | [Z] units | ✅ High Potential | ✅ Good Fit | ✅ Always On | Lightning Deal | | [Product B] | #[X] | [Y]% | [Z] units | ⚠️ Margin Risk | ✅ Good Fit | ✅ Test | Best Deal | | [Product C] | #[X] | [Y]% | [Z] units | ❌ Poor BSR | ❌ Low Margin | ✅ Low Risk | Coupon Only |
**Priority Product Selection:**
**Tier 1: Lightning Deal Candidates (Top Revenue Impact)** - **[Product Name A]**: [Current sales, margin, inventory analysis] - **Deal Potential:** [X]% discount → [Y]x velocity increase → $[Z] additional revenue - **ROI Projection:** $[Investment] → $[Return] ([X]% ROI) - **Risk Factors:** [Inventory, cannibalization, competitor response]
**Tier 2: Best Deal Candidates (Sustained Growth)** - **[Product Name B]**: [Performance analysis and deal suitability] - **Campaign Strategy:** [Discount level, duration, targeting approach] - **Expected Outcomes:** [Sales lift, ranking improvement, long-term benefits]
**Tier 3: Coupon Candidates (Conversion Optimization)** - **[Product Name C]**: [Conversion improvement potential] - **Coupon Strategy:** [Discount %, targeting, duration, stacking options] - **Performance Goals:** [Redemption rate, conversion lift, customer acquisition]
### Deal ROI Analysis & Projections
**Lightning Deal ROI Calculator:**
**Product Example: [Product Name]** ``` Base Metrics: - Regular Price: $[Amount] - Regular Daily Sales: [X] units - Cost per Unit: $[Amount] - Regular Profit Margin: [X]%
Deal Configuration: - Deal Price: $[Amount] ([X]% discount) - Deal Duration: [X] hours - Expected Velocity: [X]x normal (based on category data)
Financial Projection: Revenue: - Deal Period Sales: [X] units × $[Deal Price] = $[Amount] - Post-Deal Boost (7 days): [Y] units × $[Regular Price] = $[Amount] - Total Additional Revenue: $[Amount]
Costs: - Reduced Margin: ([Regular Margin] - [Deal Margin]) × [Deal Units] = $[Amount] - Lightning Deal Fee: $150 - Additional FBA Fees: $[Amount] (higher velocity impact) - Total Deal Investment: $[Amount]
ROI Analysis: - Net Additional Profit: $[Revenue] - $[Investment] = $[Amount] - ROI Percentage: [X]% return on deal investment - Payback Period: [X] days to recover investment ```
### Seasonal Deal Calendar & Strategy
**Q4 Holiday Strategy (Oct-Dec):**
**October:** - **Early Bird Deals:** Launch Best Deals for holiday gift categories - **Prime Early Access:** Participate in Prime exclusive events - **Inventory Prep:** Build stock for November/December promotions
**November:** - **Black Friday Week:** Lightning Deals on top 3 products - **Cyber Monday:** Coordinated coupon campaign across catalog - **Pre-Holiday Push:** Sustained Best Deals through November
**December:** - **Last-Minute Gifting:** Lightning Deals on fast-shipping items - **Year-End Clearance:** Coupons on slow-moving inventory - **Prime Shipping Deadline:** Maximize Prime Exclusive offers
**2026 Annual Calendar:** | Month | Primary Strategy | Deal Types | Focus Products | Expected ROI | |-------|------------------|------------|----------------|--------------| | Jan | Clearance & New Year | Coupons + Best Deals | Slow movers + Health | [X]% | | Feb | Valentine's Prep | Lightning Deals | Gift categories | [X]% | | Mar | Spring Launch | Best Deals | Seasonal products | [X]% | | Apr | Easter/Spring | Coupons | Holiday-related | [X]% | | May | Mother's Day | Lightning Deals | Gift items | [X]% | | Jun | Father's Day + Summer | Lightning + Coupons | Outdoor/gift | [X]% | | Jul | Prime Day | Lightning Deals | Top performers | [X]% | | Aug | Back-to-School | Best Deals | Education/office | [X]% | | Sep | Fall Launch | Coupons | New arrivals | [X]% | | Oct | Holiday Prep | Best Deals | Gift categories | [X]% | | Nov | Black Friday/Cyber Monday | Lightning Deals | Bestsellers | [X]% | | Dec | Holiday Peak | All types | Full catalog | [X]% |
### Competitive Deal Intelligence
**Competitor Deal Analysis:** | Competitor | Deal Frequency | Typical Discount | Deal Types Used | Success Indicators | |------------|----------------|------------------|-----------------|-------------------| | [Competitor A] | [X]/month | [Y]% average | Lightning + Coupons | [High sales velocity] | | [Competitor B] | [X]/month | [Y]% average | Best Deals focus | [Sustained ranking] | | [Competitor C] | [X]/month | [Y]% average | Coupon heavy | [High redemption] |
**Market Gap Analysis:** - **Underserved Deal Windows:** [Time periods with limited competitor activity] - **Pricing Opportunities:** [Discount levels not being used by competitors] - **Deal Type Gaps:** [Promotional strategies competitors aren't leveraging] - **Category Opportunities:** [Subcategories with limited deal activity]
### Deal Performance Monitoring
**Real-time Metrics Dashboard:**
**During Deal Period:** - **Sales Velocity:** [Current rate vs projected rate] - **Conversion Rate:** [Deal conversion vs regular conversion] - **Buy Box Status:** [Maintain Buy Box during deal period] - **Inventory Levels:** [Units remaining vs time remaining] - **Competitor Response:** [Price changes or counter-deals]
**Key Performance Indicators:** | Metric | Target | Current | Status | |--------|---------|---------|--------| | Units Sold | [X] units | [Y] units | ✅/⚠️/❌ | | Conversion Rate | [X]% | [Y]% | ✅/⚠️/❌ | | Revenue | $[Amount] | $[Amount] | ✅/⚠️/❌ | | ROI | [X]% | [Y]% | ✅/⚠️/❌ |
### Post-Deal Impact Analysis
**Immediate Impact (Deal Period + 7 days):** - **Total Units Sold:** [X] units ([Y]x normal velocity) - **Revenue Generated:** $[Amount] ([Z]% above baseline) - **Profit Impact:** $[Amount] net profit after all costs - **Ranking Improvement:** BSR improved from #[X] to #[Y]
**Long-term Benefits (30+ days post-deal):** - **Sustained Sales Lift:** [X]% higher baseline sales vs pre-deal - **Review Generation:** [Y] additional reviews (improve conversion) - **Organic Ranking:** Improved positioning in search results - **Brand Awareness:** [Estimated reach and impression impact]
**Cannibalization Analysis:** - **Other Product Impact:** [Effect on non-deal products in catalog] - **Ma
Source provenance
Decision snapshot
622 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for amazon-deal-finder, ready for a manual X post.
amazon-deal-finder: Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coup... 622 stars https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=x
Listing + install path for amazon-deal-finder: https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=x Install: npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder
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[](https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder/audit)
[](https://www.openagentskill.com/skills/nexscope-ai-amazon-deal-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)nexscope-ai
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Connect agents to hundreds of workflow automations
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利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
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Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsPermission surface
shell or command execution
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shell or command execution
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Docs
Strong README/SKILL.md context
Risk summary
Install readiness
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shell or command execution
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Docs
Strong README/SKILL.md context
Risk summary
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shell or command execution
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No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness