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Agent Skill · 研究检索

amazon-bestseller-launch(亚马逊畅销书推出)

amazon-bestseller-launch 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

amazon-bestseller-launch 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 17,157。

总安装 6,768周安装 282GitHub Stars 5下载 2,256核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:amazon-bestseller-launch(亚马逊畅销书推出)
来源仓库:https://github.com/breverdbidder/life-os
仓库路径:skills/amazon-bestseller-launch
安装命令:
npx skills add https://github.com/breverdbidder/life-os --skill amazon-bestseller-launch
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/breverdbidder/life-os --skill amazon-bestseller-launch

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

amazon-bestseller-launch 实施五阶段畅销书打造框架,聚焦销售速度、转化率与评论增长指标。适用于新书上市、品类突围或季节性爆款孵化等电商增长驱动型项目。基于 A10 算法定制关键词布局与类目优化策略,强调前 48 小时动销窗口期管理。

需提前 90 天启动预热计划,包括预售通道建设与 KOL 合作矩阵搭建。实时监控 Kindle Unlimited 阅读完成率,低于 70% 需立即调整内容与定价策略。

来源仓库内路径:skills/amazon-bestseller-launch

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/breverdbidder/life-os --skill amazon-bestselle…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

amazon-bestseller-launch 怎么安装?

在终端执行 npx skills add https://github.com/breverdbidder/life-os --skill amazon-bestseller-launch。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

amazon-bestseller-launch 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

amazon-bestseller-launch 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

amazon-bestseller-launch 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

amazon-bestseller-launch 用的人多吗?

公开数据是累计安装 6,768 次,近一周安装 282 次,下载 2,256 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

amazon-bestseller-launch 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
amazon-bestseller-launch

亚马逊畅销书推出 · 本页

6,7685只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Amazon #1 Bestseller Launch System

Execute the proven 5-phase framework for achieving Amazon #1 Bestseller status.

Success Metrics That Drive #1 Rankings

Amazon's A10 algorithm ranks books based on:

MetricWeightTarget for #1
Sales Velocity40%50-200+ sales in 24-48 hours
Conversion Rate25%>15% page visitors → buyers
Reviews20%25+ reviews in first 30 days
Read-Through10%>70% Kindle Unlimited pages read
Keywords/Categories5%Rank top 3 in 3+ categories

Phase 1: Pre-Launch Foundation (T-90 to T-30 days)

Category Selection Strategy

Select 3 categories using the "Low Competition, High Demand" formula:

CATEGORY_SCORE = (Monthly_Sales / #Books_in_Category) × Avg_Review_Count
Target: CATEGORY_SCORE > 500

Winning Category Criteria:

  • #1 book has <50 reviews (beatable)
  • Top 10 average <1,000 BSR (active buyers)
  • At least 3 books selling 300+/month (proven demand)

7-Keyword Optimization

Amazon allows 7 backend keywords (50 chars each). Optimize using:

PRIMARY: [main topic] + [audience] + [benefit]
SECONDARY: [problem] + [solution] + [format]
LONG-TAIL: [specific niche] + [unique angle]

Keyword Research Tools:

  • Publisher Rocket ($97 one-time)
  • KDP Rocket alternatives: Helium 10, Jungle Scout

Listing Optimization Checklist

□ Title: Primary keyword + benefit (≤200 chars)
□ Subtitle: Secondary keywords + specific outcome
□ Description: 4,000 chars, HTML formatting, 3 CTAs
□ Author Bio: Credibility + related books + social proof
□ A+ Content: 5 modules minimum (if Brand Registered)
□ Editorial Reviews: 3-5 pre-launch endorsements

Phase 2: ARC Campaign (T-60 to T-14 days)

ARC (Advance Review Copy) System

Target: 50 ARC readers → 25+ reviews by launch day

ARC Recruitment Sources:

  1. Email list (highest conversion: 40-60%)
  2. BookFunnel/StoryOrigin (10-20% conversion)
  3. Goodreads groups (5-10% conversion)
  4. Facebook reader groups (5-15% conversion)
  5. NetGalley ($450/listing, professional reviewers)

ARC Email Sequence

Email 1 (T-60): Announce book, recruit reviewers
Email 2 (T-45): Send ARC via BookFunnel
Email 3 (T-30): Check-in, ask for feedback
Email 4 (T-14): Reminder to prepare review
Email 5 (T-1): "Review goes live tomorrow!"
Email 6 (Launch): Direct link to leave review

Review Velocity Target

DayCumulative ReviewsBSR Impact
15-10Enter top 10,000
715-20Enter top 1,000
1420-25Stabilize ranking
3025-50Long-term visibility

Phase 3: Pre-Launch Momentum (T-14 to T-1 days)

Price Strategy for Launch

PhaseeBook PriceGoal
Pre-order$0.99Maximize pre-orders
Launch (Day 1-3)$0.99Sales velocity
Post-launch (Day 4-7)$2.99Revenue + ranking
Steady state$4.99-9.99Profit margin

Pre-Order Stacking

Pre-orders count as Day 1 sales. Strategy:

  1. Open pre-orders 90 days before launch (max allowed)
  2. Stack all pre-order sales for launch day impact
  3. Coordinate with email list for pre-order push T-7

Launch Team Assembly

Minimum viable launch team:

- 50 email subscribers committed to buy Day 1
- 25 ARC reviewers ready to post reviews
- 10 social media amplifiers (shares/posts)
- 5 podcast/blog appearances scheduled

Phase 4: Launch Day Execution (T-0)

Hour-by-Hour Launch Protocol

6:00 AM EST - Verify listing is live, price correct
7:00 AM - Email blast #1 to full list
8:00 AM - Social media announcement (all platforms)
10:00 AM - Notify ARC team: "POST REVIEWS NOW"
12:00 PM - Email blast #2 (non-openers)
2:00 PM - Check BSR, adjust if needed
4:00 PM - Social media push #2
6:00 PM - Email blast #3 (last chance $0.99)
9:00 PM - Track final Day 1 metrics

Sales Velocity Targets

Category CompetitivenessDay 1 Sales Needed
Low (<1,000 books)25-50
Medium (1,000-10,000)50-100
High (10,000+)100-200+

Real-Time Monitoring

Track every 2 hours on launch day:

# Key metrics to monitor
metrics = {
    "bsr": "Best Seller Rank (lower = better)",
    "category_rank": "Position in chosen categories",
    "review_count": "Total reviews posted",
    "review_avg": "Average star rating",
    "also_bought": "Appearing in 'also bought' carousels"
}

Phase 5: Post-Launch Optimization (T+1 to T+30)

Week 1: Maintain Momentum

□ Day 2-3: Continue $0.99 pricing
□ Day 3: Raise to $2.99 if BSR stable
□ Day 4-7: Amazon Ads campaign (ACoS target <50%)
□ Daily: Monitor reviews, respond to questions

Amazon Ads Strategy

Sponsored Products Campaign Setup:

Campaign Type: Manual targeting
Daily Budget: $20-50
Bid Strategy: Dynamic bids (down only)
Keywords: 50-100 from research
Match Types: Exact (60%), Phrase (30%), Broad (10%)

Target ACoS by Phase:

PhaseTarget ACoSGoal
Launch (Week 1)100%+ OKVisibility
Growth (Week 2-4)50-70%Ranking
Profit (Month 2+)30-50%Sustainable

KDP Select Strategy

Enroll in KDP Select for 90-day exclusivity benefits:

  1. Kindle Unlimited: Earn per page read (KENP)
  2. Kindle Countdown Deals: 7-day promo pricing
  3. Free Book Promotion: 5 free days per 90-day period

Countdown Deal Timing:

  • Schedule for T+21 (post-launch dip)
  • Promote 48-hour $0.99 deal
  • Stack with email + social push

Quick Reference: #1 Bestseller Checklist

PRE-LAUNCH (T-90 to T-0)
□ Category research: 3 low-competition categories selected
□ Keywords: 7 backend keywords optimized
□ Listing: Title, description, A+ content complete
□ ARC campaign: 50 readers recruited, ARCs distributed
□ Launch team: 50+ committed Day 1 buyers
□ Pre-orders: Open and promoted
□ Price: Set to $0.99 for launch

LAUNCH DAY (T-0)
□ Email sequence: 3 blasts scheduled
□ Social media: Posts scheduled all platforms
□ ARC team: Notified to post reviews
□ Monitoring: BSR tracked every 2 hours

POST-LAUNCH (T+1 to T+30)
□ Price increase: $0.99 → $2.99 → $4.99
□ Amazon Ads: Campaigns live
□ Reviews: 25+ posted
□ Countdown deal: Scheduled for T+21

References

  • Detailed category research: See references/category-research.md
  • Email templates: See references/email-templates.md
  • Amazon Ads playbook: See references/amazon-ads.md
  • Launch day scripts: See scripts/launch-tracker.py

平台分布

Codex

32.61%
按下载量换算736

Claude

31.64%
按下载量换算714

Cursor

20.5%
按下载量换算462

Gemini CLI

10.38%
按下载量换算234

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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