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Agent Skill · 研究检索

amazon-sif-optimizer(亚马逊 sif 优化器)

amazon-sif-optimizer 用于查找、检索和筛选相关信息,适合在 OpenClaw 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-sif-optimizer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,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 23,624。

总安装 4,218周安装 174GitHub Stars 公开资料未说明下载 1,378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
MIT-0
版本
1.0.0

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-sif-optimizer(亚马逊 sif 优化器)
来源仓库:https://github.com/mguozhen/amazon-sif-optimizer
安装命令:
openclaw skills install amazon-sif-optimizer
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install amazon-sif-optimizer

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。

深度优化亚马逊Listing的搜索-索引-转化全流程。审核标题、五点描述与图片质量提出改进意见。整合关键词布局与广告投放协同优化建议。安装命令:openclaw skills install amazon-sif-optimizer。修改Listing前请备份原始版本以防意外丢失信息。

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 OpenClaw;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 openclaw skills install amazon-sif-optimizer;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

amazon-sif-optimizer 怎么安装?

在终端执行 openclaw skills install amazon-sif-optimizer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

amazon-sif-optimizer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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-sif-optimizer 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

amazon-sif-optimizer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

amazon-sif-optimizer 用的人多吗?

公开数据是累计安装 4,218 次,近一周安装 174 次,下载 1,378 次。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-sif-optimizer 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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-sif-optimizer

亚马逊 sif 优化器 · 本页

4,218—需要联网MIT-0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

name
amazon-sif-optimizer
description
Amazon Listing, keyword, and advertising deep optimization agent. Comprehensive SIF (Search-Index-Funnel) optimization — audit and improve listings for search indexing, keyword relevance, and conversion funnel performance. Triggers: amazon listing optimizer, sif optimizer, listing optimization, keyword optimization, ad optimization, search indexing, listing audit, listing score, conversion optimization, ppc optimization, listing quality, amazon seo optimization
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-sif-optimizer

Amazon SIF Optimizer

Search-Index-Funnel (SIF) — the complete framework for Amazon listing optimization. Audit your listing's search discoverability, keyword indexing, and conversion funnel, then get specific improvements to climb rankings and boost sales.

Commands

sif audit <listing>               # full SIF audit of a listing
sif search <listing>              # search discovery audit (S)
sif index <listing> <keywords>    # keyword indexing check (I)
sif funnel <listing>              # conversion funnel audit (F)
sif title <product> <keywords>    # optimize product title
sif bullets <product>             # rewrite bullet points
sif backend <listing>             # optimize backend search terms
sif ads <campaign-data>           # optimize PPC campaign structure
sif score <listing>               # compute SIF score (0-100)
sif compare <listing1> <listing2> # SIF comparison with competitor
sif improve <listing>             # generate full improved listing draft
sif report <listing>              # comprehensive SIF optimization report

What Data to Provide

  • Current listing — full title, 5 bullets, description, current price
  • Backend search terms — what you currently have in backend
  • Target keywords — keywords you want to rank for
  • Competitor ASINs — top competitors to benchmark against
  • Ad campaign data — current PPC campaigns and performance
  • Metrics — click-through rate, conversion rate, sales/day

SIF Framework

S — Search Discovery

How easily can buyers find your listing?

Search discovery factors:

  1. Primary keyword in title — must appear in first 60 characters
  2. Keyword indexing — is Amazon actually indexing your keywords?
  3. Search rank position — where do you appear for key terms?
  4. Ad coverage — are you bidding on all critical terms?

Search audit checklist:

[ ] Primary keyword in title (first 60 chars)?
[ ] Top 3 keywords appear in title?
[ ] All bullet points contain at least 1 target keyword?
[ ] Description is keyword-rich?
[ ] Backend search terms filled (249 chars)?
[ ] Backend has no word repetition from title/bullets?
[ ] Backend includes misspellings, synonyms, long-tails?
[ ] Running Sponsored Products on exact match for top 10 keywords?
[ ] Auto campaign running to discover new keywords?

Search score (0-25):

  • Title keyword presence: 0-8 pts
  • Backend completeness: 0-7 pts
  • Ad coverage: 0-5 pts
  • Search rank on key terms: 0-5 pts

I — Index Verification

Is Amazon indexing your keywords?

Indexing check method:

  • Search: site:amazon.com/dp/[ASIN] keyword
  • Or search the keyword on Amazon and check if your ASIN appears
  • Note: Amazon drops keywords that don't drive conversions

Common indexing failures:

Reason                          Fix
Too many keywords in title      Prioritize top 5 only
Duplicate keywords              Remove repeats from backend
Restricted/prohibited terms     Replace with compliant alternatives
Non-English characters          Use ASCII equivalents
Keyword not in any field        Add to backend search terms

Index score (0-25):

  • Primary keyword indexed: 0-10 pts
  • All Tier 1-2 keywords indexed: 0-10 pts
  • No prohibited terms detected: 0-5 pts

F — Conversion Funnel

Once a buyer lands on your listing, does it convert?

Conversion funnel stages:

Search results → Click (driven by main image + title + price)
                    ↓
Product page → Add to Cart (driven by images, bullets, price, reviews)
                    ↓
Cart → Purchase (driven by trust signals, price, delivery)

Conversion funnel audit:

Stage 1 — Click-through (CTR):

[ ] Main image: white background, product fills 85%, no text overlays
[ ] Title: keyword-rich AND human-readable, not stuffed
[ ] Price: competitive within ±10% of top 3 competitors
[ ] Review count: minimum 15+ reviews to compete
[ ] Prime badge: FBA/FBM with Prime eligibility
[ ] CTR benchmark: >0.5% for search results

Stage 2 — Page conversion (CVR):

[ ] 7+ high-quality images (main + lifestyle + infographic + detail)
[ ] Video present (boosts CVR by 20-30%)
[ ] All 5 bullet points used, benefit-led format
[ ] A+ content present (Brand Registry required)
[ ] Price anchored appropriately (MSRP shown if discounted)
[ ] Review rating ≥4.0 stars
[ ] FAQ section answered (reduces purchase hesitation)
[ ] CVR benchmark: >10% for category (varies widely)

Stage 3 — Cart to purchase:

[ ] Fast delivery promise (2-day Prime preferred)
[ ] Return policy visible (30-day free returns = trust signal)
[ ] Secure transaction badge
[ ] No negative red flags in Q&A section
[ ] Seller feedback rating >95%

Funnel score (0-50):

  • CTR optimization: 0-15 pts
  • Page CVR optimization: 0-25 pts
  • Trust signals: 0-10 pts

SIF Score Interpretation

Total SIF Score (0-100):
90-100: Elite listing — maximize ad spend, listing is a machine
75-89:  Strong listing — minor improvements for incremental gains
60-74:  Good listing — targeted improvements will boost performance significantly
45-59:  Average listing — significant work needed on multiple fronts
<45:    Poor listing — comprehensive rewrite required before scaling ads

Title Optimization Framework

Title formula: [Brand] + [Primary Keyword] + [Top Feature] + [Secondary Keyword] + [Benefit/Use Case]

Title scoring:

  • Character count: 150-200 chars (not <80, not >200)
  • Primary keyword in first 40 chars: essential
  • 2-3 key selling features: yes
  • Mobile truncation (first 80 chars): must be compelling on mobile
  • Readability: must make sense as a sentence

Example:

Before: "Water Bottle Stainless Steel Insulated 32oz BPA Free Lid Straw Sport School Office"
After: "HydroMax Insulated Water Bottle 32oz | Stainless Steel, Leak-Proof Lid, Stays Cold 24hrs | BPA-Free Flask for Gym, Hiking, School"

Bullet Point Framework

5-bullet structure:

Bullet 1: [Primary benefit + primary keyword] — your biggest selling point
Bullet 2: [Key feature + secondary keyword] — technical proof of benefit 1
Bullet 3: [Use case/versatility + long-tail keyword] — broadens appeal
Bullet 4: [Trust signal + quality claim] — certifications, compatibility, warranty
Bullet 5: [Customer promise + brand keyword] — satisfaction guarantee, service

Format rules:

  • Start with ALL CAPS benefit statement: "LEAK-PROOF LID GUARANTEED —"
  • Follow with specific evidence: "triple-seal technology prevents spills..."
  • End with use case or emotional benefit

PPC Campaign Optimization

3-campaign structure:

Campaign 1: Exact Match — top 20 keywords, aggressive bids
Campaign 2: Phrase Match — broad keyword variations
Campaign 3: Auto — discovery, harvest new keywords weekly

Weekly tasks:
1. Harvest converting keywords from auto → add to exact/phrase
2. Negate non-converting terms from all campaigns
3. Adjust bids: raise for ACOS <target, lower for ACOS >target
4. Check new keyword opportunities from search term reports

Bid optimization matrix:

ACOS < 15%:    Raise bid 20% — underinvesting in a winner
ACOS 15-25%:   Maintain — at target range
ACOS 25-40%:   Lower bid 15% — marginal profitability
ACOS > 40%:    Lower bid 30% or pause — burning cash
0 impressions: Raise bid significantly or check keyword match
0 conversions >50 clicks: Negative match + listing review

Workspace

Creates ~/sif-optimizer/ containing:

  • audits/ — SIF audit reports per ASIN
  • listings/ — optimized listing drafts
  • keywords/ — keyword tracking and indexing status
  • campaigns/ — PPC campaign structures and notes
  • scores/ — historical SIF scores to track improvement

Output Format

Every SIF audit outputs:

  1. SIF Score Summary — S/I/F scores and total with grade (A/B/C/D/F)
  2. Search Audit — keyword presence check with specific gaps
  3. Index Report — confirmed indexed keywords vs. missing
  4. Funnel Diagnosis — stage-by-stage conversion blockers
  5. Improved Title Draft — optimized title ready to use
  6. Bullet Rewrites — all 5 bullets rewritten with improvements
  7. Backend Optimization — updated 249-char backend search terms
  8. PPC Recommendation — campaign structure changes needed
  9. Priority Fix List — top 5 changes ranked by expected impact

平台分布

OpenClaw

83.45%
按下载量换算1,150

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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