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.
Agent skill
by hashgraph-online in hashgraph-online/awesome-codex-plugins
Plan experiment throughput strategies for mature A/B testing programs.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill experimentation-throughput-strategy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins experimentation-throughput-strategy --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/experimentation-throughput-strategy .claude/skills/experimentation-throughput-strategy && 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 "experimentation-throughput-strategy" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experimentation-throughput-strategy into .claude/skills/experimentation-throughput-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation-throughput-strategy", 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/experimentation-throughput-strategyType 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 experimentation-throughput-strategy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins experimentation-throughput-strategy --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/experimentation-throughput-strategy .agents/skills/experimentation-throughput-strategy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experimentation-throughput-strategy" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experimentation-throughput-strategy into .agents/skills/experimentation-throughput-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation-throughput-strategy", 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 experimentation-throughput-strategy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins experimentation-throughput-strategy --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/experimentation-throughput-strategy .cursor/skills/experimentation-throughput-strategy && 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 "experimentation-throughput-strategy" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experimentation-throughput-strategy into .cursor/skills/experimentation-throughput-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation-throughput-strategy", 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/experimentation-throughput-strategy--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 experimentation-throughput-strategy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins experimentation-throughput-strategy --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/experimentation-throughput-strategy .gemini/skills/experimentation-throughput-strategy && 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 "experimentation-throughput-strategy" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experimentation-throughput-strategy into .gemini/skills/experimentation-throughput-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation-throughput-strategy", 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 experimentation-throughput-strategyInstalls 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 experimentation-throughput-strategy -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/experimentation-throughput-strategy .github/skills/experimentation-throughput-strategy && 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 "experimentation-throughput-strategy" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experimentation-throughput-strategy into .github/skills/experimentation-throughput-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation-throughput-strategy", 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 experimentation-throughput-strategy -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 experimentation-throughput-strategy --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/experimentation-throughput-strategy .opencode/skills/experimentation-throughput-strategy && 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 "experimentation-throughput-strategy" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experimentation-throughput-strategy into .opencode/skills/experimentation-throughput-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation-throughput-strategy", 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.
experimentation-throughput-strategyPlan experiment throughput strategies for mature A/B testing programs.
Experimentation Throughput Strategy is an agent skill from hashgraph-online/awesome-codex-plugins. Plan experiment throughput strategies for mature A/B testing programs. Use when testing capacity is constrained, teams are waiting for experiment slots, roadmap coordination is slowing learning, or a team must choose isolated, overlapping, parallel, or capacity-aware experiment scheduling without sacrificing result quality.
Its SKILL.md is about 910 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.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Codex, Claude Code, and other Agent Skills-compatible clients.
From compatibility in the SKILL.md frontmatter.
Experimentation Throughput Strategy loads about 913 tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 280 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.
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.
The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its MIT licence (© hashgraph-online). 280 words, ~913 tokens.
.claude/skills/experimentation-throughput-strategy/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Use this skill to increase the rate of product experimentation without turning the experiment pipeline into an unreliable traffic jam. It focuses on testing capacity, isolated versus overlapping strategies, interaction effects, and the process/tooling needed to coordinate experiments at scale.
Primary source: Next-Level A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from Chapter 1 on rate, quality, and cost; Chapter 2 on testing availability, isolated and overlapping strategies, and interaction effects; and Chapter 9 on balancing rate with quality, cost, and usability.
Related skills:
ab-testing-platform-strategy for platform architecture and ownership.experiment-verification-monitoring for monitoring conflicts and active-test
health.experiment-sensitivity-optimization for reducing traffic needs by improving
metric sensitivity.| Need | Read |
|---|---|
| Throughput concepts and terminology | references/core/knowledge.md |
| Strategy selection and coordination rules | references/core/rules.md |
| Scenario examples and tradeoffs | references/core/examples.md |
| Step-by-step throughput plan | workflows/improve-experiment-throughput.md |
# Experimentation Throughput Plan
## Bottleneck
[What is limiting experiment rate and what evidence shows it.]
## Recommended Strategy
[Isolated | Overlapping | Hybrid | Keep current strategy] because [reason].
## Capacity View
| Surface or Audience | Current Tests | Upcoming Tests | Constraint | Owner |
|---------------------|---------------|----------------|------------|-------|
## Interference Safeguards
- Conflict dimensions:
- Monitoring:
- Escalation:
## Process And Tooling Changes
1. [Change]
2. [Change]
3. [Change]
## Decision Rules
- Overlap when:
- Isolate when:
- Defer when:
- Revisit when:© 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
SKILL.md and 5 other files (references) in plugins/LVTD-LLC/skills/skills/experimentation-throughput-strategy of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 78497e5
Experimentation Throughput 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Experimentation Throughput Strategy this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~913 | Automated safety check: Pass | MIT | |
| Ab Testingcoreyhaines31/marketingskills | 54k | 3 repos | ~2.8k | Automated safety check: Pass | MIT | |
| AnalyticsNexus-JPF/note-companion | 870 | 7 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Ab Test Setupfreekmurze/dotfiles | 1k | 15 repos | ~1.8k | Automated safety check: Pass | None | |
| Ad Test Designeraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Meta Tags Optimizernowork-studio/notfair-plugin | 3.9k | 1 repos | ~2.7k | Automated safety check: Pass | MIT |
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Categories
Plan experiment throughput strategies for mature A/B testing programs. Experimentation Throughput Strategy is an agent skill from hashgraph-online/awesome-codex-plugins. Plan experiment throughput strategies for mature A/B testing programs.
Experimentation Throughput Strategy fits situations like: testing capacity is constrained; teams are waiting for experiment slots; roadmap coordination is slowing learning; A team must choose isolated.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill experimentation-throughput-strategy -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/experimentation-throughput-strategy in hashgraph-online/awesome-codex-plugins) into .claude/skills/experimentation-throughput-strategy in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill experimentation-throughput-strategy -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/experimentation-throughput-strategy in hashgraph-online/awesome-codex-plugins) into .agents/skills/experimentation-throughput-strategy in your project. Codex loads it when a task matches its description.
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 experimentation-throughput-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/experimentation-throughput-strategy, .gemini/skills/experimentation-throughput-strategy, .github/skills/experimentation-throughput-strategy and .opencode/skills/experimentation-throughput-strategy in your project.
SKILL.md names no scripts, command-line tools or credentials: Experimentation Throughput Strategy is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..
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.
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.
Experimentation Throughput Strategy is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 913 tokens (SKILL.md is roughly 3.7k 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 2.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Experimentation Throughput 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.
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.