Geo Fundamentals
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Research and shortlist startup traction channels before running Bullseye tests.
Install Traction Channel Research
$ npx skills add hashgraph-online/awesome-codex-plugins --skill traction-channel-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins traction-channel-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/LVTD-LLC/skills/skills/traction-channel-research .claude/skills/traction-channel-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 "traction-channel-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-channel-research into .claude/skills/traction-channel-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-channel-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/LVTD-LLC/skills/skills/traction-channel-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 traction-channel-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins traction-channel-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/LVTD-LLC/skills/skills/traction-channel-research .agents/skills/traction-channel-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 "traction-channel-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-channel-research into .agents/skills/traction-channel-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-channel-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 traction-channel-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins traction-channel-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/LVTD-LLC/skills/skills/traction-channel-research .cursor/skills/traction-channel-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 "traction-channel-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-channel-research into .cursor/skills/traction-channel-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-channel-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/LVTD-LLC/skills/skills/traction-channel-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 traction-channel-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins traction-channel-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/LVTD-LLC/skills/skills/traction-channel-research .gemini/skills/traction-channel-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 "traction-channel-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-channel-research into .gemini/skills/traction-channel-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-channel-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 traction-channel-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 traction-channel-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/LVTD-LLC/skills/skills/traction-channel-research .github/skills/traction-channel-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 "traction-channel-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-channel-research into .github/skills/traction-channel-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-channel-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 traction-channel-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 traction-channel-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/LVTD-LLC/skills/skills/traction-channel-research .opencode/skills/traction-channel-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 "traction-channel-research" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-channel-research into .opencode/skills/traction-channel-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-channel-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
traction-channel-research- GitHub stars
- 1.3k
- Token cost
- ~849 tokens
- SKILL.md length
- 274 words
- Files
- 1
- Skills in repo
- 716
- Repo updated
- First seen
- Licence
- MIT
At a glance
Research and shortlist startup traction channels before running Bullseye tests.
- Works in 6 steps: Define the product, target customer,… → List all 19 channels, even if some look… → For each channel, research comparable… → …
- Comparing acquisition channels
- SKILL.md covers Source Traceability, Research Workflow, Evidence To Look For and Output Format, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Traction Channel Research is an agent skill from hashgraph-online/awesome-codex-plugins. Research and shortlist startup traction channels before running Bullseye tests. Use when comparing acquisition channels, studying how similar companies grew, finding underused distribution strategies, or preparing the outer ring for a Traction-style growth process.
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.
It sits in Marketing & SEO. 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 MIT.
When your agent uses it
- Comparing acquisition channels
- Studying how similar companies grew
- Finding underused distribution strategies
- Preparing the outer ring for a Traction-style growth process
Example prompts
- “/traction-channel-research”
Requirements
- Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Define the product, target customer, business model, ACV or price point, and
- List all 19 channels, even if some look unlikely
- For each channel, research comparable companies, adjacent markets, failed
- Separate channel from strategy. "SEO" is a channel; "comparison pages for
- Estimate reach, cost, speed, confidence, and customer fit.
- Shortlist the top three to five strategies for Bullseye middle-ring tests.
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 (its code samples are markdown).
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.
Compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
From compatibility in the SKILL.md frontmatter.
Context cost
Traction Channel Research loads about 849 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 274 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 MIT licence (© hashgraph-online). 274 words, ~849 tokens.
Download SKILL.mdSave it as
.claude/skills/traction-channel-research/SKILL.md (or your agent's skills folder).- name
- traction-channel-research
- description
- Research and shortlist startup traction channels before running Bullseye tests. Use when comparing acquisition channels, studying how similar companies grew, finding underused distribution strategies, or preparing the outer ring for a Traction-style growth process.
- compatibility
- Codex, Claude Code, and other Agent Skills-compatible clients.
- license
- MIT
- metadata.version
- 0.1.0
- metadata.displayName
- Traction Channel Research
- metadata.category
- Marketing
- metadata.tags
- traction,growth,research,marketing,startups
Traction Channel Research
Use this skill before traction-bullseye when the agent needs evidence about
which channels might work. The job is to replace founder guesses with grounded
channel ideas.
Source Traceability
Primary source: Traction, chapters 1, 3, and 5. Authoring notes: converted
lines 238-393, 555-674, and 787-902. The canonical channel list also appears
in ../traction-bullseye/references/source-map.md.
Research Workflow
- Define the product, target customer, business model, ACV or price point, and current growth stage.
- List all 19 channels, even if some look unlikely: targeting blogs, publicity, unconventional PR, search engine marketing, social and display ads, offline ads, search engine optimization, content marketing, email marketing, viral marketing, engineering as marketing, business development, sales, affiliate programs, existing platforms, trade shows, offline events, speaking engagements, and community building.
- For each channel, research comparable companies, adjacent markets, failed examples, and underused tactics.
- Separate channel from strategy. "SEO" is a channel; "comparison pages for high-intent alternatives" is a strategy.
- Estimate reach, cost, speed, confidence, and customer fit.
- Shortlist the top three to five strategies for Bullseye middle-ring tests.
Evidence To Look For
- Founder interviews, teardown posts, podcasts, and launch retrospectives.
- Competitor traffic sources, ad libraries, backlink patterns, and content footprints.
- Marketplaces, communities, events, newsletters, podcasts, and niche platforms where the customer already gathers.
- Signs of saturation: crowded ad auctions, copied content, high affiliate competition, or low response rates.
- Signs of underuse: unfashionable offline channels, narrow communities, ignored partners, or new platforms.
Output Format
# Traction Channel Research
## Context
- Product:
- Customer:
- Stage:
- Traction goal:
## Channel Scan
| Channel | Strategy Idea | Evidence | Reach | Cost | Speed | Fit | Confidence |
|---------|---------------|----------|-------|------|-------|-----|------------|
## Shortlist
1. [Channel + strategy] - [why test this]
2. [Channel + strategy] - [why test this]
3. [Channel + strategy] - [why test this]
4. [Optional channel + strategy] - [why test this]
5. [Optional channel + strategy] - [why test this]
## Bias Check
- Channels the team may be overvaluing:
- Channels the team may be ignoring:
## Recommended Next Tests
[Hand off to traction-test-planner.]Quality Bar
- Prefer specific strategies over broad channel labels.
- Include at least one uncomfortable or underused channel.
- Distinguish evidence from guesses.
- Flag channels that cannot plausibly move the user's current traction goal.
© hashgraph-online, MIT. 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/LVTD-LLC/skills/skills/traction-channel-research of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 3e1456a
Compare with similar skills
Traction Channel 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 |
|---|---|---|---|---|---|---|
| Traction Channel Research this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~849 | Automated safety check: Pass | MIT | |
| Geo Fundamentalswasp-lang/wasp | 19k | 9 repos | ~861 | Automated safety check: Pass | MIT | |
| Ab Testingcoreyhaines31/marketingskills | 54k | 3 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Hreflang and International SEOAgriciDaniel/claude-seo | 19k | 5 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Referralscoreyhaines31/marketingskills | 54k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| SEO GeoReScienceLab/opc-skills | 1.8k | 4 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 |
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Questions about Traction Channel Research
What does Traction Channel Research do?
Research and shortlist startup traction channels before running Bullseye tests. Traction Channel Research is an agent skill from hashgraph-online/awesome-codex-plugins. Research and shortlist startup traction channels before running Bullseye tests.
When should I use Traction Channel Research?
Traction Channel Research fits situations like: comparing acquisition channels; studying how similar companies grew; finding underused distribution strategies; preparing the outer ring for a Traction-style growth process.
How do I install Traction Channel Research in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill traction-channel-research -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/traction-channel-research in hashgraph-online/awesome-codex-plugins) into .claude/skills/traction-channel-research in your project. Claude Code loads it when a task matches its description.
How do I install Traction Channel Research in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill traction-channel-research -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/traction-channel-research in hashgraph-online/awesome-codex-plugins) into .agents/skills/traction-channel-research in your project. Codex loads it when a task matches its description.
Can I use Traction Channel 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 traction-channel-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/traction-channel-research, .gemini/skills/traction-channel-research, .github/skills/traction-channel-research and .opencode/skills/traction-channel-research in your project.
What does Traction Channel Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Traction Channel Research is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..
Does Traction Channel 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 Traction Channel 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 Traction Channel Research use?
Traction Channel Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Traction Channel Research use?
About 849 tokens (SKILL.md is roughly 3.4k 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 Traction Channel Research?
Skills that share tags, products or a category with Traction Channel Research: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Traction Channel 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.