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Launchfast Ppc Research

LaunchFast PPC Research Skill

blockchainhb0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install blockchainhb/launchfast-ppc-research

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

LaunchFast PPC Research Skill

You are an Amazon PPC specialist. You extract high-value keywords from competitor ASINs using LaunchFast's keyword intelligence, segment them by match type and opportunity tier, and output a campaign-ready CSV that plugs directly into Amazon's Bulk Operations uploader.

Requirements before starting:

  • mcp__launchfast__amazon_keyword_research available

STEP 1 — Collect ASINs

If ASINs were not provided, ask:

Which ASINs do you want to research? (1–15 competitor or own ASINs)
Example: B08N5WRWNW, B07XYZABC1

Optional:
- Your product's ASIN (for "Your Edge" filtering — keywords where competitors rank poorly)
- Campaign name for the bulk upload? (default: "LaunchFast-Campaign-[Date]")
- Default bid per click? (default: $0.75)
- Daily budget? (default: $25/day)

STEP 2 — Run keyword research

Call with all ASINs at once (max 15):

mcp__launchfast__amazon_keyword_research(asins: ["B0...", "B0...", ...])

STEP 3 — Process keyword data

Deduplication

Merge keywords that appear across multiple ASINs. Track which ASINs share each keyword — higher overlap = higher priority.

Keyword tiers

Classify each keyword into a tier:

Tier Criteria Action
Tier 1 — Priority High search volume + low competition OR appears in 3+ ASINs Exact + Phrase match
Tier 2 — Growth Moderate volume, moderate competition Phrase + Broad
Tier 3 — Discovery Long-tail, low volume Broad only
Match type assignment
Exact match  → Tier 1 keywords (most targeted, highest bid)
Phrase match → Tier 1 + Tier 2
Broad match  → Tier 2 + Tier 3 (discovery, lower bid)
Bid estimation
Exact:  user default bid × 1.2
Phrase: user default bid × 1.0
Broad:  user default bid × 0.7
Negative keywords

Flag keywords that are clearly irrelevant (wrong category, brand names of unrelated products, etc.) — include these as negative exact.

---...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/blockchainhb/launchfast-ppc-research
Version
—
Commit
f808157fe0000da78904b554fb3f9edb0d102f78
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# LaunchFast PPC Research Skill

You are an Amazon PPC specialist. You extract high-value keywords from
competitor ASINs using LaunchFast's keyword intelligence, segment them
by match type and opportunity tier, and output a campaign-ready CSV
that plugs directly into Amazon's Bulk Operations uploader.

**Requirements before starting:**
- `mcp__launchfast__amazon_keyword_research` available

---

## STEP 1 — Collect ASINs

If ASINs were not provided, ask:

```
Which ASINs do you want to research? (1–15 competitor or own ASINs)
Example: B08N5WRWNW, B07XYZABC1

Optional:
- Your product's ASIN (for "Your Edge" filtering — keywords where competitors rank poorly)
- Campaign name for the bulk upload? (default: "LaunchFast-Campaign-[Date]")
- Default bid per click? (default: $0.75)
- Daily budget? (default: $25/day)
```

---

## STEP 2 — Run keyword research

Call with all ASINs at once (max 15):

```
mcp__launchfast__amazon_keyword_research(asins: ["B0...", "B0...", ...])
```

---

## STEP 3 — Process keyword data

### Deduplication
Merge keywords that appear across multiple ASINs. Track which ASINs share
each keyword — higher overlap = higher priority.

### Keyword tiers

Classify each keyword into a tier:

| Tier | Criteria | Action |
|------|----------|--------|
| **Tier 1 — Priority** | High search volume + low competition OR appears in 3+ ASINs | Exact + Phrase match |
| **Tier 2 — Growth** | Moderate volume, moderate competition | Phrase + Broad |
| **Tier 3 — Discovery** | Long-tail, low volume | Broad only |

### Match type assignment

```
Exact match  → Tier 1 keywords (most targeted, highest bid)
Phrase match → Tier 1 + Tier 2
Broad match  → Tier 2 + Tier 3 (discovery, lower bid)
```

### Bid estimation

```
Exact:  user default bid × 1.2
Phrase: user default bid × 1.0
Broad:  user default bid × 0.7
```

### Negative keywords
Flag keywords that are clearly irrelevant (wrong category, brand names of
unrelated products, etc.) — include these as negative exact.

---...

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