SEO API
seranking/seo-skills
SE Ranking API integration architect. An agent skill from seranking/seo-skills.
Codex-native Amazon PPC keyword research using LaunchFast MCP.
Install Launchfast Ppc Research
$ npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-ppc-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-ppc-research --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-ppc-research .claude/skills/launchfast-ppc-research && 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-ppc-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research into .claude/skills/launchfast-ppc-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-ppc-research", 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-ppc-researchType 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-ppc-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-ppc-research --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-ppc-research .agents/skills/launchfast-ppc-research && 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-ppc-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research into .agents/skills/launchfast-ppc-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-ppc-research", 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-ppc-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-ppc-research --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-ppc-research .cursor/skills/launchfast-ppc-research && 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-ppc-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research into .cursor/skills/launchfast-ppc-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-ppc-research", 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-ppc-research--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-ppc-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins launchfast-ppc-research --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-ppc-research .gemini/skills/launchfast-ppc-research && 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-ppc-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research into .gemini/skills/launchfast-ppc-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-ppc-research", 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-ppc-researchInstalls 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-ppc-research -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-ppc-research .github/skills/launchfast-ppc-research && 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-ppc-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research into .github/skills/launchfast-ppc-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-ppc-research", 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-ppc-research -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-ppc-research --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-ppc-research .opencode/skills/launchfast-ppc-research && 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-ppc-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research into .opencode/skills/launchfast-ppc-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "launchfast-ppc-research", 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-ppc-research- GitHub stars
- 1.3k
- Token cost
- ~784 tokens
- SKILL.md length
- 344 words
- Files
- 1
- Skills in repo
- 716
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Codex-native Amazon PPC keyword research using LaunchFast MCP.
- Works in 4 steps: Run keyword research → Normalize and tier keywords → Present a preview → …
- The user wants competitor keyword discovery
- SKILL.md covers Inputs, Workflow and Output
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Launchfast Ppc Research is an agent skill from hashgraph-online/awesome-codex-plugins. 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 amazonkeywordresearch.
Its SKILL.md is about 780 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, Keyword research and MCP servers. 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 competitor keyword discovery
- Keyword tiering
- A ready-to-upload Amazon Sponsored Products bulk file from 1-15 ASINs
Example prompts
- “/launchfast-ppc-research”
Requirements
- Python 3
Workflow steps
4 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 3e1456a. 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 Ppc Research loads about 784 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 344 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 3e1456a, republished under its Apache-2.0 licence (© hashgraph-online). 344 words, ~784 tokens.
Download SKILL.mdSave it as
.claude/skills/launchfast-ppc-research/SKILL.md (or your agent's skills folder).- name
- launchfast-ppc-research
- description
- 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`.
- argument-hint
- [ASIN1] [ASIN2] [ASIN3]
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:
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:
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 ExpressionDeterministic campaign structure:
Tier1-Exact: Tier 1 keywords as ExactTier1-Phrase: Tier 1 keywords as PhraseTier2-Phrase: Tier 2 keywords as PhraseTier3-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 inYYYYMMDDTargeting Type:ManualState:enabledCampaign 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.
© 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-ppc-research of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 3e1456a
Compare with similar skills
Launchfast Ppc Research 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 Ppc Research this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~784 | Automated safety check: Pass | Apache-2.0 | |
| SEO APIseranking/seo-skills | 161 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Sellersprite Amazon Researchliangdabiao/amazon-sorftime-research-MCP-skill | 959 | — | ~4.3k | Automated safety check: Pass | None | |
| 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 | 251 | — | ~768 | Automated safety check: Pass | MIT | |
| Google Ads API MCP Setupgoogle/skills | 21k | — | ~6.1k | Automated safety check: Notes | Apache-2.0 |
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Works with
Categories
Questions about Launchfast Ppc Research
What does Launchfast Ppc Research do?
Codex-native Amazon PPC keyword research using LaunchFast MCP. Launchfast Ppc Research is an agent skill from hashgraph-online/awesome-codex-plugins. Codex-native Amazon PPC keyword research using LaunchFast MCP.
When should I use Launchfast Ppc Research?
Launchfast Ppc Research fits situations like: the user wants competitor keyword discovery; keyword tiering; A ready-to-upload Amazon Sponsored Products bulk file from 1-15 ASINs.
How do I install Launchfast Ppc Research in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-ppc-research -a claude-code`. Or copy the skill folder (plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research in hashgraph-online/awesome-codex-plugins) into .claude/skills/launchfast-ppc-research in your project. Claude Code loads it when a task matches its description.
How do I install Launchfast Ppc Research in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill launchfast-ppc-research -a codex`. Or copy the skill folder (plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research in hashgraph-online/awesome-codex-plugins) into .agents/skills/launchfast-ppc-research in your project. Codex loads it when a task matches its description.
Can I use Launchfast Ppc Research 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-ppc-research -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-ppc-research, .gemini/skills/launchfast-ppc-research, .github/skills/launchfast-ppc-research and .opencode/skills/launchfast-ppc-research in your project.
What does Launchfast Ppc Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Launchfast Ppc Research is instructions for the agent only. Our summary lists: Python 3.
Does Launchfast Ppc Research 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 Ppc Research 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 Ppc Research use?
Launchfast Ppc Research 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 Ppc Research use?
About 784 tokens (SKILL.md is roughly 3.1k 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 Ppc Research?
Skills that share tags, products or a category with Launchfast Ppc Research: SEO API (seranking/seo-skills, 161 stars), Sellersprite Amazon Research (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars), Launchfast Full Research Loop (LeoYeAI/openclaw-master-skills, 2.2k stars) and Sealeap Dijiang Amazon Conversion Rate Keyword Filter (xjli360/sealeap-amazon-skills, 251 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Launchfast Ppc Research?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 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.