Agent skill

Traction Test Planner

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Design cheap, measurable traction tests from Traction for startup growth channels.

MITAuto-check passedDocuments & Office

Install Traction Test Planner

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill traction-test-planner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins traction-test-planner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-test-planner .claude/skills/traction-test-planner && rm -rf skills-src

Use ~/.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/

Facts

Skill name
traction-test-planner
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
454 words
Files
2 (incl. references)
Skills in repo
686
Repo updated
First seen
Licence
MIT

At a glance

Design cheap, measurable traction tests from Traction for startup growth channels.

  • Works in 5 steps: State The Decision → Write Assumptions → Set Metrics → …
  • Planning marketing experiments
  • SKILL.md covers Source Traceability, Test Types, Workflow and Output Format, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Traction Test Planner is an agent skill from hashgraph-online/awesome-codex-plugins. Design cheap, measurable traction tests from Traction for startup growth channels. Use when planning marketing experiments, middle-ring tests, A/B tests, acquisition test spreadsheets, channel validation, or growth experiment success criteria.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/middle-ring-test-prompts.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Documents & Office, covering A/B testing and Excel spreadsheets. 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

  • Planning marketing experiments
  • Middle-ring tests
  • Acquisition test spreadsheets
  • Channel validation

Example prompts

  • “/traction-test-planner”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. State The Decision
  2. Write Assumptions
  3. Set Metrics
  4. Bound Budget And Time
  5. Define Outcomes Before Running

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 (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 Test Planner loads about 1.1k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 454 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

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 MIT licence (© hashgraph-online). 454 words, ~1,094 tokens.

Download SKILL.mdSave it as .claude/skills/traction-test-planner/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
traction-test-planner
description
Design cheap, measurable traction tests from Traction for startup growth channels. Use when planning marketing experiments, middle-ring tests, A/B tests, acquisition test spreadsheets, channel validation, or growth experiment success criteria.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Traction Test Planner
metadata.category
Marketing
metadata.tags
traction,growth,experiments,marketing,analytics

Traction Test Planner

Use this skill to design traction tests that create decision-quality evidence. It turns a candidate channel strategy into a scoped experiment with assumptions, metrics, budget, duration, and next-step rules.

Source Traceability

Primary source: Traction, chapters 3 and 4, plus the appendix.

  • Chapter 3 defines the three core test questions for middle-ring channels. Authoring notes: converted lines 585-606.
  • Chapter 4 distinguishes cheap channel tests from optimization and explains inner-ring testing. Authoring notes: converted lines 675-786.
  • The appendix lists phase I test prompts for the 19 traction channels. Authoring notes: converted lines 3323-3372.

See middle-ring-test-prompts.md for paraphrased starter tests by channel.

Test Types

Middle-Ring Test

Use when validating whether a channel strategy could become the core channel. Keep it cheap, fast, and strategy-level.

Answer:

  1. Acquisition cost: what would it cost to acquire a customer?
  2. Reach: how many relevant customers may be available?
  3. Fit: are these customers desirable right now?
Inner-Ring Test

Use after a core channel is chosen. Inner-ring tests optimize the winning strategy or search for a better strategy inside the same channel.

Examples:

  • Test a new audience, keyword group, offer, landing page, creative angle, or partner segment.
  • Run A/B tests where traffic and measurement are already in place.
  • Use other channels only as support for the core channel, not as competing strategies.

Workflow

1. State The Decision

Write the decision the test must enable. Good tests decide something specific:

  • Continue, kill, or revise this channel strategy.
  • Promote this channel into the inner ring.
  • Scale spend, hold spend, or change audience.
  • Choose between two channel strategies.
Show full SKILL.md (193 more words)Show less
2. Write Assumptions

List the assumptions that must be true for the strategy to work.

Use this structure:

AssumptionHow Test Measures ItKill Threshold
3. Set Metrics

At minimum, include:

  • Reach available.
  • Conversion rate.
  • Cost to acquire a customer.
  • Customer quality or intent.
  • Lifetime value estimate, if available.

If the user lacks analytics, include a setup step before the test. A test without tracking creates anecdotes, not evidence.

4. Bound Budget And Time

For early-stage tests, prefer less than one month and a small budget. If the user proposes a large test before there is evidence, reduce scope.

5. Define Outcomes Before Running

Every test needs decision rules:

  • Double down when results beat the success threshold and customer quality is acceptable.
  • Iterate when one metric fails but the channel shows a fixable signal.
  • Kill when reach, cost, or customer fit cannot plausibly move the traction goal.

Output Format

markdown
# Traction Test Plan

## Decision
[What this test will decide.]

## Channel Strategy
- Channel:
- Strategy:
- Target customer:
- Stage:

## Assumptions
| Assumption | Measurement | Threshold |
|------------|-------------|-----------|

## Experiment Design
- Setup:
- Audience/source:
- Offer/message:
- Landing or conversion path:
- Budget:
- Duration:

## Metrics
| Metric | Target | Tracking Method |
|--------|--------|-----------------|

## Decision Rules
- Double down if:
- Iterate if:
- Kill if:

## Next Step After Test
[What to do for each likely outcome.]

Quality Bar

  • Do not design tests that only measure vanity traffic.
  • Do not optimize multiple variables before validating strategy-level promise.
  • Make tracking explicit before the test starts.
  • Prefer comparable metrics across channels.
  • Call out when the test cannot plausibly move the user's 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

SKILL.md and 1 other file (references) in plugins/LVTD-LLC/skills/skills/traction-test-planner of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • references/middle-ring-test-prompts.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Traction Test Planner 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.

Traction Test Planner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Traction Test Planner this skillhashgraph-online/awesome-codex-plugins1.2k—~1.1kAutomated safety check: PassMIT
Jev SEOAgriciDaniel/jev-seo527—~2.5kAutomated safety check: NotesMIT
Reddit Agencyshawnla90/gtm-coding-agent154—~3.1kAutomated safety check: PassMIT
13 Phan Tich Du Lieuminhnv0807/ai-business-skills608—~4.5kAutomated safety check: PassMIT
Keyword ClusteringInfrasity-Labs/dev-gtm-claude-skills139—~2kAutomated safety check: PassMIT
Paginated Reportdata-goblin/power-bi-agentic-development1k—~3.5kAutomated safety check: PassGPL-3.0

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Questions about Traction Test Planner

What does Traction Test Planner do?

Design cheap, measurable traction tests from Traction for startup growth channels. Traction Test Planner is an agent skill from hashgraph-online/awesome-codex-plugins. Design cheap, measurable traction tests from Traction for startup growth channels.

When should I use Traction Test Planner?

Traction Test Planner fits situations like: planning marketing experiments; middle-ring tests; acquisition test spreadsheets; channel validation.

How do I install Traction Test Planner in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill traction-test-planner -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/traction-test-planner in hashgraph-online/awesome-codex-plugins) into .claude/skills/traction-test-planner in your project. Claude Code loads it when a task matches its description.

How do I install Traction Test Planner in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill traction-test-planner -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/traction-test-planner in hashgraph-online/awesome-codex-plugins) into .agents/skills/traction-test-planner in your project. Codex loads it when a task matches its description.

Can I use Traction Test Planner 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-test-planner -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-test-planner, .gemini/skills/traction-test-planner, .github/skills/traction-test-planner and .opencode/skills/traction-test-planner in your project.

What does Traction Test Planner need to run?

SKILL.md names no scripts, command-line tools or credentials: Traction Test Planner is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Traction Test Planner 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 Test Planner 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 Test Planner use?

Traction Test Planner 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 Test Planner use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 786 tokens, read only when the agent opens those files.

What are the alternatives to Traction Test Planner?

Skills that share tags, products or a category with Traction Test Planner: Jev SEO (AgriciDaniel/jev-seo, 527 stars), Reddit Agency (shawnla90/gtm-coding-agent, 154 stars), 13 Phan Tich Du Lieu (minhnv0807/ai-business-skills, 608 stars) and Keyword Clustering (Infrasity-Labs/dev-gtm-claude-skills, 139 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Traction Test Planner?

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.