Agent skill

Ab Testing Platform Strategy

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

Plan A/B testing platform strategy, architecture, and build-vs-buy decisions for product engineering teams.

MITAuto-check passedMarketing & SEO

Install Ab Testing Platform Strategy

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill ab-testing-platform-strategy -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins ab-testing-platform-strategy --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/ab-testing-platform-strategy .claude/skills/ab-testing-platform-strategy && 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
ab-testing-platform-strategy
GitHub stars
1.2k
Token cost
~871 tokens
SKILL.md length
255 words
Files
6 (incl. references)
Skills in repo
686
Repo updated
First seen
Licence
MIT

At a glance

Plan A/B testing platform strategy, architecture, and build-vs-buy decisions for product engineering teams.

  • Works in 6 steps: State the experimentation goals and… → Inventory required platform components. → Separate must-have launch capability… → …
  • Deciding whether to build
  • SKILL.md covers Source Traceability, Related Advanced Skills, Reference Routing and Workflow, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ab Testing Platform Strategy is an agent skill from hashgraph-online/awesome-codex-plugins. Plan A/B testing platform strategy, architecture, and build-vs-buy decisions for product engineering teams. Use when deciding whether to build or buy an experimentation platform, scoping feature flagging, targeting, assignment, exposure logging, metrics pipelines, dashboards, governance, or evolving a simple testing setup into a durable platform.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `guidelines.md`, `references/core/examples.md` and `references/core/knowledge.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Marketing & SEO, covering A/B testing. 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

  • Deciding whether to build
  • Buy an experimentation platform
  • Scoping feature flagging
  • Exposure logging

Example prompts

  • “/ab-testing-platform-strategy”

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.

  1. State the experimentation goals and current constraints.
  2. Inventory required platform components.
  3. Separate must-have launch capability from later platform maturity.
  4. Compare build, buy, and hybrid options against team capacity and risk.
  5. Plan data, assignment, exposure logging, metrics, and reporting ownership.
  6. Define the smallest useful platform and the triggers for expanding it.

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

Ab Testing Platform Strategy loads about 871 tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 255 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~871
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

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). 255 words, ~871 tokens.

Download SKILL.mdSave it as .claude/skills/ab-testing-platform-strategy/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
ab-testing-platform-strategy
description
Plan A/B testing platform strategy, architecture, and build-vs-buy decisions for product engineering teams. Use when deciding whether to build or buy an experimentation platform, scoping feature flagging, targeting, assignment, exposure logging, metrics pipelines, dashboards, governance, or evolving a simple testing setup into a durable platform.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
A/B Testing Platform Strategy
metadata.category
Product Management
metadata.tags
practical-ab-testing,ab-testing,experimentation,platform-engineering,product-analytics

A/B Testing Platform Strategy

Use this skill to decide how an organization should support A/B testing through platform choices, architecture, ownership, and incremental scope.

Source Traceability

Primary source: Practical A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from chapter 5 lines 3804-4443. Related startup and "start simple" context comes from preface lines 286-332 and chapter 2 lines 1622-1628.

  • experimentation-strategy-roadmap: use when deciding which platform capability to prioritize across rate, quality, cost, usability, and company strategy.
  • experimentation-throughput-strategy: use when the platform needs capacity visibility, isolated versus overlapping test policies, or coordination tools.
  • experiment-verification-monitoring: use when the platform needs QA tooling, canaries, A/A tests, active monitoring, leakage checks, or quality metrics.
  • adaptive-experimentation-strategy: use when considering sequential testing, bandits, Thompson sampling, contextual bandits, or dynamic allocation support.

Reference Routing

NeedRead
Platform concepts and componentsreferences/core/knowledge.md
Build-vs-buy and scoping rulesreferences/core/rules.md
Scenario examplesreferences/core/examples.md
Decision workflowworkflows/decide-platform-strategy.md

Workflow

  1. State the experimentation goals and current constraints.
  2. Inventory required platform components.
  3. Separate must-have launch capability from later platform maturity.
  4. Compare build, buy, and hybrid options against team capacity and risk.
  5. Plan data, assignment, exposure logging, metrics, and reporting ownership.
  6. Define the smallest useful platform and the triggers for expanding it.

Output Format

markdown
# A/B Testing Platform Strategy

## Recommendation
[Build | Buy | Hybrid | Start manually] because [reason].

## Current Context
- Team:
- Product surface:
- Experiment volume:
- Data maturity:
- Engineering capacity:

## Required Capabilities
| Capability | Need Now? | Build/Buy/Manual | Owner |
|------------|-----------|------------------|-------|

## Tradeoffs
- Build advantages:
- Build risks:
- Buy advantages:
- Buy risks:
- Hybrid notes:

## Incremental Roadmap
1. Minimum viable experimentation:
2. Reliability and governance:
3. Scale and self-service:

Quality Bar

  • Do not recommend building a full platform before the team has proven demand.
  • Do not recommend buying without checking integration, data, and governance fit.
  • Keep data and exposure logging first-class; a platform without trustworthy measurement creates false confidence.
  • Treat platform scope as evolutionary, not all-or-nothing.

© 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 5 other files (references) in plugins/LVTD-LLC/skills/skills/ab-testing-platform-strategy of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • guidelines.md
  • references/core/examples.md
  • references/core/knowledge.md
  • references/core/rules.md
  • workflows/decide-platform-strategy.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Ab Testing Platform Strategy 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.

Ab Testing Platform Strategy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ab Testing Platform Strategy this skillhashgraph-online/awesome-codex-plugins1.2k—~871Automated safety check: PassMIT
Ab Testingcoreyhaines31/marketingskills54k3 repos~2.8kAutomated safety check: PassMIT
AnalyticsNexus-JPF/note-companion8707 repos~2.2kAutomated safety check: PassMIT
Ab Test Setupfreekmurze/dotfiles1k15 repos~1.8kAutomated safety check: PassNone
Ad Test Designeraaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.8kAutomated safety check: PassApache-2.0
Meta Tags Optimizernowork-studio/notfair-plugin3.9k1 repos~2.7kAutomated safety check: PassMIT

Similar skills

  • Ab Testing

    coreyhaines31/marketingskills

    When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.

    54k GitHub starsUsed in 3 repos~2.8k tokens
    Marketing & SEOAuto-check passed
  • Analytics

    Nexus-JPF/note-companion

    When the user wants to set up, improve, or audit analytics tracking and measurement.

    870 GitHub starsUsed in 7 repos~2.2k tokens
    Marketing & SEOAuto-check passed
  • Ab Test Setup

    freekmurze/dotfiles

    When the user wants to plan, design, or implement an A/B test or experiment.

    1k GitHub starsUsed in 15 repos~1.8k tokens
    Marketing & SEOAuto-check passed
  • Ad Test Designer

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "design an A/B test", "set up a creative/landing test", "run an incrementality test", or "is this result statistically and practically material?"…

    2.9k GitHub starsUsed in 2 repos~2.8k tokens
    Marketing & SEOAuto-check passed
  • Meta Tags Optimizer

    nowork-studio/notfair-plugin

    Writes and improves title tags, meta descriptions, Open Graph and Twitter card tags for click-through, with character counts and A/B test variants.

    3.9k GitHub starsUsed in 1 repo~2.7k tokens
    Marketing & SEOAuto-check passed
  • Ab Test Analyzer

    irinabuht12-oss/marketing-skills

    Statistical significance calculator for A/B test results with sample size requirements, segment breakdowns, and hypothesis generation.

    3.9k GitHub stars~1.4k tokensUpdated 14 days ago
    Marketing & SEOAuto-check passed

More from hashgraph-online/awesome-codex-plugins

All 686 skills in this repo
  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.2k GitHub stars~922 tokensUpdated today
    Auto-check passed
  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.2k GitHub stars~1k tokensUpdated today
    Auto-check passed
  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.2k GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.2k GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.2k GitHub stars~618 tokensUpdated today
    Auto-check passed
  • Manuscript Engagement Analytics

    hashgraph-online/awesome-codex-plugins

    Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…

    1.2k GitHub stars~875 tokensUpdated today
    Auto-check passed

Categories

Questions about Ab Testing Platform Strategy

What does Ab Testing Platform Strategy do?

Plan A/B testing platform strategy, architecture, and build-vs-buy decisions for product engineering teams. Ab Testing Platform Strategy is an agent skill from hashgraph-online/awesome-codex-plugins. Plan A/B testing platform strategy, architecture, and build-vs-buy decisions for product engineering teams.

When should I use Ab Testing Platform Strategy?

Ab Testing Platform Strategy fits situations like: deciding whether to build; buy an experimentation platform; scoping feature flagging; exposure logging.

How do I install Ab Testing Platform Strategy in Claude Code?

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

How do I install Ab Testing Platform Strategy in Codex?

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

Can I use Ab Testing Platform Strategy 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 ab-testing-platform-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ab-testing-platform-strategy, .gemini/skills/ab-testing-platform-strategy, .github/skills/ab-testing-platform-strategy and .opencode/skills/ab-testing-platform-strategy in your project.

What does Ab Testing Platform Strategy need to run?

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

Does Ab Testing Platform Strategy 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 Ab Testing Platform Strategy 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 Ab Testing Platform Strategy use?

Ab Testing Platform Strategy 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 Ab Testing Platform Strategy use?

About 871 tokens (SKILL.md is roughly 3.5k 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 1.4k tokens, read only when the agent opens those files.

What are the alternatives to Ab Testing Platform Strategy?

Skills that share tags, products or a category with Ab Testing Platform Strategy: Ab Testing (coreyhaines31/marketingskills, 54k stars), Analytics (Nexus-JPF/note-companion, 870 stars), Ab Test Setup (freekmurze/dotfiles, 1k stars) and Ad Test Designer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ab Testing Platform Strategy?

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.