Launchfast Product Research logo

Launchfast Product Research

OrganizationPopular
hashgraph-online
launchfast-product-research

Codex-native multi-keyword Amazon opportunity scan using LaunchFast MCP. Use when the user wants to research 1-10 keywords, compare niches, or decide whether a product idea is a GO, INVESTIGATE, or PASS. Requires the LaunchFast MCP tool `research_products`.

Overview

Publisherhashgraph-online
Repositoryawesome-codex-plugins
Skill namelaunchfast-product-research
Stars
1.3K
Forks
360
Bundled files
Instructions only
LicenseApache-2.0
Links
  • 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 Product Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. 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-product-research
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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-product-research .claude/skills/launchfast-product-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Launchfast Product 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 Product 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 Product 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 Product Research

Use this skill for a fast, opinionated market scan across up to 10 keywords.

Inputs

If missing, ask once for:

  • keywords to research
  • optional target price band
  • optional competition tolerance

Workflow

1. Run research

  • Run research_products for each keyword.
  • Prefer parallel tool calls when researching more than one keyword.
  • Use focus="balanced" and product_limit=20 unless the user asks otherwise.

2. Extract core metrics per keyword

From the response, compute:

  • products analyzed
  • grade distribution
  • median monthly revenue
  • top product revenue
  • average or median price
  • average or median reviews
  • brand concentration
  • dominant brand

3. Score the market

Use this score out of 100:

text
score =
  (% of products graded B5 or better) * 30
+ (median revenue >= 8000 ? 30 : (median revenue / 8000) * 30)
+ (median reviews < 300 ? 20 : (300 / median reviews) * 20)
+ (median price between 18 and 60 ? 20 : 10)

Competition bands:

  • Low: median reviews < 200
  • Medium: median reviews 200-800
  • High: median reviews > 800

Verdicts:

  • GO: score >= 65
  • INVESTIGATE: score 40-64
  • PASS: score < 40

4. Present results

Always show:

  • a ranked summary table for all keywords
  • a short deep dive for the top 3

Use this table shape:

markdown
## Product Opportunity Scan

| Rank | Keyword | Score | Market Grade | Top Revenue | Avg Price | Competition | Verdict |
|------|---------|-------|--------------|-------------|-----------|-------------|---------|

For each top-3 keyword include:

  • products analyzed
  • grade distribution
  • revenue range
  • price range
  • review range
  • best product snapshot
  • one-sentence key insight
  • risk flags
  • verdict with 1-2 sentence rationale

Notes

  • If a keyword has missing or zero search volume, explicitly call that out.
  • If the results look too narrow or too broad, suggest the better keyword variant inline.
  • Do not force a follow-up question at the end; only recommend next actions when the result is borderline or strong enough to justify it.

Frequently asked questions

What does the Launchfast Product Research AI skill do?

Codex-native multi-keyword Amazon opportunity scan using LaunchFast MCP. Use when the user wants to research 1-10 keywords, compare niches, or decide whether a product idea is a GO, INVESTIGATE, or PASS. Requires the LaunchFast MCP tool `research_products`.

Why use Launchfast Product Research on TypingMind?

Because you install it once and use it with any model. Launchfast Product 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 Product 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-product-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Launchfast Product 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 Product Research?

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

Is the Launchfast Product 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.

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