Agent skill

Experimentation Strategy Roadmap

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

Prioritize an experimentation platform roadmap across rate, quality, cost, usability, process, infrastructure, and advanced methods.

MITAuto-check passedMarketing & SEO

Install Experimentation Strategy Roadmap

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill experimentation-strategy-roadmap -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins experimentation-strategy-roadmap --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/experimentation-strategy-roadmap .claude/skills/experimentation-strategy-roadmap && 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
experimentation-strategy-roadmap
GitHub stars
1.3k
Token cost
~825 tokens
SKILL.md length
233 words
Files
6 (incl. references)
Skills in repo
716
Repo updated
First seen
Licence
MIT

At a glance

Prioritize an experimentation platform roadmap across rate, quality, cost, usability, process, infrastructure, and advanced methods.

  • Works in 6 steps: State the company's strategic goals and… → Classify candidate work as optimization… → Score each candidate against rate,… → …
  • Deciding which experimentation capability to build next
  • SKILL.md covers Source Traceability, Reference Routing, Workflow and Output Format, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Experimentation Strategy Roadmap is an agent skill from hashgraph-online/awesome-codex-plugins. Prioritize an experimentation platform roadmap across rate, quality, cost, usability, process, infrastructure, and advanced methods. Use when deciding which experimentation capability to build next, whether to platformize interleaving or adaptive testing, how to align experimentation with company goals, or how to trade off speed versus rigor.

Its SKILL.md is about 830 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 and UX design. 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 which experimentation capability to build next
  • Whether to platformize interleaving
  • Adaptive testing
  • How to align experimentation with company goals

Example prompts

  • “/experimentation-strategy-roadmap”

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 company's strategic goals and current experimentation constraints.
  2. Classify candidate work as optimization strategy, process improvement,
  3. Score each candidate against rate, quality, cost, usability, robustness, and
  4. Prototype advanced strategies before platformizing them.
  5. Sequence the roadmap so tools, processes, and education support each other.
  6. Define success metrics for the platform itself.

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

Experimentation Strategy Roadmap loads about 825 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 233 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
~825
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

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 3e1456a, republished under its MIT licence (© hashgraph-online). 233 words, ~825 tokens.

Download SKILL.mdSave it as .claude/skills/experimentation-strategy-roadmap/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
experimentation-strategy-roadmap
description
Prioritize an experimentation platform roadmap across rate, quality, cost, usability, process, infrastructure, and advanced methods. Use when deciding which experimentation capability to build next, whether to platformize interleaving or adaptive testing, how to align experimentation with company goals, or how to trade off speed versus rigor.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Experimentation Strategy Roadmap
metadata.category
Product Management
metadata.tags
practical-ab-testing,next-level-ab-testing,ab-testing,experimentation,platform-strategy

Experimentation Strategy Roadmap

Use this skill to decide which experimentation capability deserves investment next. It helps balance experimentation rate, quality, cost, usability, process, infrastructure, and company strategy when adopting advanced techniques.

Source Traceability

Primary source: Next-Level A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from Chapter 1 on rate, quality, and cost; and Chapter 9 on optimization strategies, process improvements, infrastructure, company goals, user needs, robustness, cost versus quality, and evaluating new strategies.

Related skills:

  • ab-testing-platform-strategy for platform architecture and build/buy scope.
  • experimentation-throughput-strategy for increasing experiment rate.
  • experiment-verification-monitoring for quality investments.
  • experiment-sensitivity-optimization, ml-experiment-evaluation, and adaptive-experimentation-strategy for advanced technique candidates.

Reference Routing

NeedRead
Roadmap conceptsreferences/core/knowledge.md
Prioritization and platformization rulesreferences/core/rules.md
Strategy examplesreferences/core/examples.md
Step-by-step roadmap workflowworkflows/prioritize-experimentation-roadmap.md

Workflow

  1. State the company's strategic goals and current experimentation constraints.
  2. Classify candidate work as optimization strategy, process improvement, infrastructure enhancement, or a combination.
  3. Score each candidate against rate, quality, cost, usability, robustness, and adoption effort.
  4. Prototype advanced strategies before platformizing them.
  5. Sequence the roadmap so tools, processes, and education support each other.
  6. Define success metrics for the platform itself.

Output Format

markdown
# Experimentation Strategy Roadmap

## Strategic Context
[Company/product goals and experimentation constraints.]

## Recommendation
[Top roadmap priority and why.]

## Candidate Initiatives
| Initiative | Type | Rate | Quality | Cost | Usability | Effort |
|------------|------|------|---------|------|-----------|--------|

## Roadmap
1. [Now]
2. [Next]
3. [Later]

## Adoption Plan
- Tooling:
- Process:
- Education:
- Success metrics:

Quality Bar

  • Do not platformize an advanced method before proving it in real use cases.
  • Do not optimize for experimentation rate while ignoring trust and quality.
  • Do not build tools without updating process and education.
  • Do not adopt complexity that product teams cannot understand or operate.

© 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/experimentation-strategy-roadmap of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • guidelines.md
  • references/core/examples.md
  • references/core/knowledge.md
  • references/core/rules.md
  • workflows/prioritize-experimentation-roadmap.md

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

Experimentation Strategy Roadmap 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.

Experimentation Strategy Roadmap compared with similar skills
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Experimentation Strategy Roadmap this skillhashgraph-online/awesome-codex-plugins1.3k—~825Automated safety check: PassMIT
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Define Hypothesisproduct-on-purpose/pm-skills716—~966Automated safety check: PassApache-2.0
Growth StrategyOpenClaudia/openclaudia-skills713—~2.1kAutomated safety check: PassMIT
Adaptive Learning PlaybookLeoYeAI/openclaw-master-skills2.2k—~4kAutomated safety check: PassMIT
Conversation Flow Validatorrevfactory/harness-1001.3k—~1.2kAutomated safety check: PassApache-2.0

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Questions about Experimentation Strategy Roadmap

What does Experimentation Strategy Roadmap do?

Prioritize an experimentation platform roadmap across rate, quality, cost, usability, process, infrastructure, and advanced methods. Experimentation Strategy Roadmap is an agent skill from hashgraph-online/awesome-codex-plugins. Prioritize an experimentation platform roadmap across rate, quality, cost, usability, process, infrastructure, and advanced methods.

When should I use Experimentation Strategy Roadmap?

Experimentation Strategy Roadmap fits situations like: deciding which experimentation capability to build next; whether to platformize interleaving; adaptive testing; how to align experimentation with company goals.

How do I install Experimentation Strategy Roadmap in Claude Code?

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

How do I install Experimentation Strategy Roadmap in Codex?

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

Can I use Experimentation Strategy Roadmap 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 experimentation-strategy-roadmap -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-strategy-roadmap, .gemini/skills/experimentation-strategy-roadmap, .github/skills/experimentation-strategy-roadmap and .opencode/skills/experimentation-strategy-roadmap in your project.

What does Experimentation Strategy Roadmap need to run?

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

Does Experimentation Strategy Roadmap 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 Experimentation Strategy Roadmap 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 Experimentation Strategy Roadmap use?

Experimentation Strategy Roadmap 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 Experimentation Strategy Roadmap use?

About 825 tokens (SKILL.md is roughly 3.3k 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 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Experimentation Strategy Roadmap?

Skills that share tags, products or a category with Experimentation Strategy Roadmap: Cro Methodology (wondelai/skills, 2.4k stars), Define Hypothesis (product-on-purpose/pm-skills, 716 stars), Growth Strategy (OpenClaudia/openclaudia-skills, 713 stars) and Adaptive Learning Playbook (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Experimentation Strategy Roadmap?

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.