Launchfast Ppc Research

OrganizationPopular

hashgraph-online

launchfast-ppc-research

Codex-native Amazon PPC keyword research using LaunchFast MCP. Use when the user wants competitor keyword discovery, keyword tiering, or a ready-to-upload Amazon Sponsored Products bulk file from 1-15 ASINs. Requires the LaunchFast MCP tool `amazon_keyword_research`.

Overview

Publisher	hashgraph-online
Repository	`awesome-codex-plugins`
Skill name	`launchfast-ppc-research`
Stars	1.3K
Forks	360
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by hashgraph-online on GitHub. Read the source before you install it.

Installation

Install the Launchfast Ppc Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git /tmp/awesome-codex-plugins
mkdir -p .claude/skills
cp -r /tmp/awesome-codex-plugins/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research .claude/skills/launchfast-ppc-research

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Launchfast Ppc Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Launchfast Ppc Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Launchfast Ppc Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

LaunchFast PPC Research

Inputs

If needed, ask once for:

1-15 ASINs
optional campaign name
optional default CPC bid
optional daily budget
optional output path

Defaults:

campaign name: LaunchFast-PPC-[YYYY-MM-DD]
default bid: 0.75
daily budget: 25
output path: ./artifacts/launchfast/ppc/launchfast-ppc-[YYYY-MM-DD].tsv

Workflow

1. Run keyword research

Run one keyword-research call across all ASINs when possible:

text
amazon_keyword_research(asins=[...], limit=50)

If the ASIN set is too large or results are unwieldy, batch them, but do not require delegation.

2. Normalize and tier keywords

For each keyword:

deduplicate across ASIN overlaps
keep overlap count
capture search volume, CPC, purchase rate, relevance, and ranking coverage

Tiering:

Tier 1: high-value terms with strong overlap or standout volume and conversion
Tier 2: mid-volume growth terms
Tier 3: discovery and long-tail terms

Match mapping:

Exact: Tier 1
Phrase: Tier 1 and Tier 2
Broad: Tier 2 and Tier 3

Bid guidance:

Exact: default bid * 1.2
Phrase: default bid * 1.0
Broad: default bid * 0.7

3. Present a preview

Show:

ASINs analyzed
unique keywords found
tier breakdown
top 15 keywords preview
negative keywords or exclusions if obvious

4. Generate the bulk file

If the user wants the export, create the parent directory and write a TSV.

Use a deterministic writer such as Python csv.writer with a tab delimiter.

Required output:

one campaign
ad groups split by tier and match type
keyword rows with bids

Default to this exact tab-separated header and column order:

text
Product	Entity	Operation	Campaign ID	Ad Group ID	Portfolio ID	Ad ID	Keyword ID	Product Targeting ID	Campaign Name	Ad Group Name	Start Date	End Date	Targeting Type	State	Daily Budget	SKU	ASIN	Ad Group Default Bid	Bid	Custom Text	Campaign Type	Targeting Expression

Deterministic campaign structure:

Tier1-Exact: Tier 1 keywords as Exact
Tier1-Phrase: Tier 1 keywords as Phrase
Tier2-Phrase: Tier 2 keywords as Phrase
Tier3-Broad: Tier 2 and Tier 3 keywords as Broad

Generate three row types only:

Campaign row: one per campaign
Ad Group row: one per ad group
Keyword row: one per keyword and match-type pair

Use:

Start Date: current date in YYYYMMDD
Targeting Type: Manual
State: enabled
Campaign Type: Sponsored Products

If the user requests a different Amazon bulk format, switch only with explicit confirmation.

Output

Default answer structure:

short summary of keyword landscape
preview table
export path and row count if a file was written

If no export is requested, stop after the preview and recommendations.

Frequently asked questions

What does the Launchfast Ppc Research AI skill do?

Why use Launchfast Ppc Research on TypingMind?

Because you install it once and use it with any model. Launchfast Ppc Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Launchfast Ppc Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Launchfast Ppc Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Launchfast Ppc Research?

As many as you like. As long as a model supports skills, you can use Launchfast Ppc Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Launchfast Ppc Research AI skill free?

Yes. It is published on GitHub by hashgraph-online under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Co Marketing

coreyhaines31

CommunityPopular

When the user wants to find co-marketing partners, plan joint campaigns, or brainstorm partnership opportunities. Use when the user says 'co-marketing,' 'partner marketing,' 'joint campaign,' 'who…

Cold Email

Write B2B cold emails and follow-up sequences that get replies. Use when the user wants to write cold outreach emails, prospecting emails, cold email campaigns, sales development emails, or SDR…

Community Marketing

Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a community strategy, grow a Discord or Slack community, manage a forum or subreddit,…

Openclaw Release Validation

openclaw

OrganizationPopular

Guide human release testing on an isolated OCM copy or approved in-place gateway, collect feedback, or refresh the release campaign.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

LaunchFast PPC Research

Inputs

Workflow

1. Run keyword research

2. Normalize and tier keywords

3. Present a preview

4. Generate the bulk file

Output

Frequently asked questions

Related AI Skills

Set up your own AI workspace now