Launchfast Full Research Loop
LeoYeAI/openclaw-master-skills
Complete Amazon FBA product research pipeline using the LaunchFast MCP.
Agent skill
Launchfast Full Research Loop
by hashgraph-online in hashgraph-online/awesome-codex-plugins
End-to-end Codex-native Amazon FBA research workflow using LaunchFast MCP.
Install Launchfast Full Research Loop
$ npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-full-research-loop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop .claude/skills/launchfast-full-research-loop && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "launchfast-full-research-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop into .claude/skills/launchfast-full-research-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-full-research-loop", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loopType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-full-research-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop .agents/skills/launchfast-full-research-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "launchfast-full-research-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop into .agents/skills/launchfast-full-research-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-full-research-loop", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-full-research-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop .cursor/skills/launchfast-full-research-loop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "launchfast-full-research-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop into .cursor/skills/launchfast-full-research-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-full-research-loop", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-full-research-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop .gemini/skills/launchfast-full-research-loop && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "launchfast-full-research-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop into .gemini/skills/launchfast-full-research-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-full-research-loop", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-full-research-loopInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop .github/skills/launchfast-full-research-loop && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "launchfast-full-research-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop into .github/skills/launchfast-full-research-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-full-research-loop", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-full-research-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop .opencode/skills/launchfast-full-research-loop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "launchfast-full-research-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop into .opencode/skills/launchfast-full-research-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-full-research-loop", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
launchfast-full-research-loop- GitHub stars
- 1.2k
- Token cost
- ~657 tokens
- SKILL.md length
- 247 words
- Files
- 1
- Skills in repo
- 686
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
End-to-end Codex-native Amazon FBA research workflow using LaunchFast MCP.
- Works in 5 steps: Product research → IP check → Supplier research → …
- The user wants a single report covering product research
- SKILL.md covers Inputs, Workflow and Output
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Launchfast Full Research Loop is an agent skill from hashgraph-online/awesome-codex-plugins. End-to-end Codex-native Amazon FBA research workflow using LaunchFast MCP. Use when the user wants a single report covering product research, IP risk, supplier sourcing, and PPC keyword intelligence. Requires researchproducts, ipcheckmanage, supplierresearch, and amazonkeywordresearch.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Paid advertising and Keyword research. It works with Model Context Protocol. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
When your agent uses it
- The user wants a single report covering product research
- Supplier sourcing
- PPC keyword intelligence
Example prompts
- “/launchfast-full-research-loop”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Launchfast Full Research Loop loads about 657 tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 247 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 247 words, ~657 tokens.
Download SKILL.mdSave it as
.claude/skills/launchfast-full-research-loop/SKILL.md (or your agent's skills folder).- name
- launchfast-full-research-loop
- description
- End-to-end Codex-native Amazon FBA research workflow using LaunchFast MCP. Use when the user wants a single report covering product research, IP risk, supplier sourcing, and PPC keyword intelligence. Requires `research_products`, `ip_check_manage`, `supplier_research`, and `amazon_keyword_research`.
- argument-hint
- [keyword]
LaunchFast Full Research Loop
Inputs
If needed, ask once for:
- keyword or keyword list
- target selling price
- first order quantity
- optional competitor ASINs
- optional report path
Default report path:
./artifacts/launchfast/reports/launchfast-report-[keyword]-[YYYY-MM-DD].html
Workflow
1. Product research
- Run
research_productsfor each keyword withfocus="balanced"andproduct_limit=20. - Score each keyword using the same logic as
launchfast-product-research. - Pick winners for deeper analysis.
2. IP check
For promising keywords, run:
ip_check_manage(action="ip_conflict_check", keyword="<keyword>")
ip_check_manage(action="trademark_search", keyword="<keyword>")Extract:
- conflict level
- notable active marks
- patent concerns if present
- final risk posture: CLEAR, CAUTION, or BLOCKED
3. Supplier research
For the strongest keyword, run:
supplier_research(keyword="<keyword>", goldSupplierOnly=true, tradeAssuranceOnly=true, maxResults=10)Summarize the top suppliers with:
- company name
- quality score
- price band
- MOQ
- years in business
- trust signals
4. PPC research
If you have competitor ASINs, or can responsibly infer 2-3 strong ASINs from product research, run:
amazon_keyword_research(asins=[...], limit=20)Summarize:
- keyword count
- top search-volume terms
- high-intent terms by purchase rate
- indicative CPCs
- suggested campaign structure
If there are no usable ASINs, state that this phase was skipped.
5. Build the report
Create a standalone HTML report with:
- executive verdict banner
- market scorecard
- product findings
- IP findings
- supplier findings
- PPC findings
- concise recommendation section
Design should match the existing LaunchFast visual language:
- clean light theme
- neutral palette
- card layout
- compact tables
- clear GO / INVESTIGATE / PASS styling
Write the file to the requested path and report the final file location.
Output
Always return:
- overall verdict
- key blockers or strengths
- report path if the file was written
Do not pad the response with generic “next steps” unless the evidence clearly supports a specific recommendation.
© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 78497e5
Compare with similar skills
Launchfast Full Research Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Launchfast Full Research Loop this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~657 | Automated safety check: Pass | Apache-2.0 | |
| Launchfast Full Research LoopLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.5k | Automated safety check: Pass | MIT | |
| Sealeap Dijiang Amazon Conversion Rate Keyword Filterxjli360/sealeap-amazon-skills | 240 | — | ~768 | Automated safety check: Pass | MIT | |
| Evaluate Skillevery-app/open-seo | 23k | — | ~1.8k | Automated safety check: Notes | MIT | |
| Blog GoogleAgriciDaniel/claude-blog | 2.3k | 1 repos | ~3.3k | Automated safety check: Notes | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 791 | 2 repos | ~4.6k | Automated safety check: Pass | MIT |
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Works with
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Questions about Launchfast Full Research Loop
What does Launchfast Full Research Loop do?
End-to-end Codex-native Amazon FBA research workflow using LaunchFast MCP. Launchfast Full Research Loop is an agent skill from hashgraph-online/awesome-codex-plugins. End-to-end Codex-native Amazon FBA research workflow using LaunchFast MCP.
When should I use Launchfast Full Research Loop?
Launchfast Full Research Loop fits situations like: the user wants a single report covering product research; supplier sourcing; PPC keyword intelligence.
How do I install Launchfast Full Research Loop in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loop -a claude-code`. Or copy the skill folder (plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop in hashgraph-online/awesome-codex-plugins) into .claude/skills/launchfast-full-research-loop in your project. Claude Code loads it when a task matches its description.
How do I install Launchfast Full Research Loop in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loop -a codex`. Or copy the skill folder (plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-full-research-loop in hashgraph-online/awesome-codex-plugins) into .agents/skills/launchfast-full-research-loop in your project. Codex loads it when a task matches its description.
Can I use Launchfast Full Research Loop in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/launchfast-full-research-loop, .gemini/skills/launchfast-full-research-loop, .github/skills/launchfast-full-research-loop and .opencode/skills/launchfast-full-research-loop in your project.
What does Launchfast Full Research Loop need to run?
SKILL.md names no scripts, command-line tools or credentials: Launchfast Full Research Loop is instructions for the agent only.
Does Launchfast Full Research Loop access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Launchfast Full Research Loop safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Launchfast Full Research Loop use?
Launchfast Full Research Loop is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Launchfast Full Research Loop use?
About 657 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Launchfast Full Research Loop?
Skills that share tags, products or a category with Launchfast Full Research Loop: Launchfast Full Research Loop (LeoYeAI/openclaw-master-skills, 2.2k stars), Sealeap Dijiang Amazon Conversion Rate Keyword Filter (xjli360/sealeap-amazon-skills, 240 stars), Evaluate Skill (every-app/open-seo, 23k stars) and Blog Google (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Launchfast Full Research Loop?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.