Ab Test Analysis
nimrodfisher/data-analytics-skills
Rigorous A/B test statistical analysis. An agent skill from nimrodfisher/data-analytics-skills.
Design and run product experiments at a practical PM level — A/B tests, hypothesis tests, rollouts, feature flags, and reading results without pretending to be a statistician.
$ npx skills add andreaskelm/pm-brain --skill experimentation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install andreaskelm/pm-brain experimentation --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/andreaskelm/pm-brain.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/experimentation .claude/skills/experimentation && 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" agent skill from https://github.com/andreaskelm/pm-brain/tree/main/.claude/skills/experimentation into .claude/skills/experimentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation", 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/andreaskelm/pm-brain/tree/main/.claude/skills/experimentationType 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 andreaskelm/pm-brain --skill experimentation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install andreaskelm/pm-brain experimentation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/andreaskelm/pm-brain.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/experimentation .agents/skills/experimentation && 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" agent skill from https://github.com/andreaskelm/pm-brain/tree/main/.claude/skills/experimentation into .agents/skills/experimentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation", 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 andreaskelm/pm-brain --skill experimentation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install andreaskelm/pm-brain experimentation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/andreaskelm/pm-brain.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/experimentation .cursor/skills/experimentation && 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" agent skill from https://github.com/andreaskelm/pm-brain/tree/main/.claude/skills/experimentation into .cursor/skills/experimentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation", 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/andreaskelm/pm-brain.git --path .claude/skills/experimentation--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 andreaskelm/pm-brain --skill experimentation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install andreaskelm/pm-brain experimentation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/andreaskelm/pm-brain.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/experimentation .gemini/skills/experimentation && 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" agent skill from https://github.com/andreaskelm/pm-brain/tree/main/.claude/skills/experimentation into .gemini/skills/experimentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation", 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 andreaskelm/pm-brain experimentationInstalls 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 andreaskelm/pm-brain --skill experimentation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/andreaskelm/pm-brain.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/experimentation .github/skills/experimentation && 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" agent skill from https://github.com/andreaskelm/pm-brain/tree/main/.claude/skills/experimentation into .github/skills/experimentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation", 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 andreaskelm/pm-brain --skill experimentation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install andreaskelm/pm-brain experimentation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/andreaskelm/pm-brain.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/experimentation .opencode/skills/experimentation && 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" agent skill from https://github.com/andreaskelm/pm-brain/tree/main/.claude/skills/experimentation into .opencode/skills/experimentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experimentation", 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.
experimentationDesign and run product experiments at a practical PM level — A/B tests, hypothesis tests, rollouts, feature flags, and reading results without pretending to be a statistician.
Experimentation is an agent skill from andreaskelm/pm-brain. Design and run product experiments at a practical PM level — A/B tests, hypothesis tests, rollouts, feature flags, and reading results without pretending to be a statistician. Covers hypothesis, primary metric, sample and duration, guardrails, and ship/kill/pivot calls. Use when the user says "A/B test", "experiment design", "hypothesis test", "rollout plan", "feature flag", "statistical significance", "how long should we run this", "can we ship the variant", or needs to decide whether a change actually worked.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/criteria.md` and `references/design.md`).
It sits in Marketing & SEO, covering A/B testing, Statistics and Feature launches and release readiness. The repository describes itself as: AI-powered product management thinking & operating system. Playbooks, guides, templates, and frameworks that bridge PM theory to daily execution.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 38696ac. 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.
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.
Experimentation loads about 2.3k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 133 tokens; SKILL.md has 1,309 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,309 words (~2,334 tokens).
“An experiment is how you stop arguing about opinions and start arguing about evidence — but only if you decided what would convince you before the numbers land. The failure mode I see most: someone runs a test because "we…”
SKILL.md and 2 other files (references) in .claude/skills/experimentation of andreaskelm/pm-brain.
Open the folder on GitHubat commit 38696ac
Experimentation 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 this skillandreaskelm/pm-brain | 234 | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Ab Test Analysisnimrodfisher/data-analytics-skills | 470 | — | ~708 | Automated safety check: Pass | MIT | |
| Measure Experiment Resultsproduct-on-purpose/pm-skills | 716 | — | ~989 | Automated safety check: Pass | Apache-2.0 | |
| Experimentai-analyst-lab/ai-analyst | 304 | — | ~2k | Automated safety check: Pass | MIT | |
| Mkt Experimentevolution-foundation/evo-nexus | 545 | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| A/B Test Analysisphuryn/pm-skills | 27k | — | ~893 | Automated safety check: Pass | MIT |
nimrodfisher/data-analytics-skills
Rigorous A/B test statistical analysis. An agent skill from nimrodfisher/data-analytics-skills.
product-on-purpose/pm-skills
Documents the results of a completed experiment or A/B test with statistical analysis, learnings, and recommendations.
ai-analyst-lab/ai-analyst
The analysis and lifecycle owner for experiments. An agent skill from ai-analyst-lab/ai-analyst.
evolution-foundation/evo-nexus
Autonomous growth experimentation framework. An agent skill from evolution-foundation/evo-nexus.
phuryn/pm-skills
Validates an experiment's setup, works out lift, p-value and confidence interval from A/B test data, and recommends whether to ship, extend or stop.
alirezarezvani/claude-skills
Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes.
andreaskelm/pm-brain
Ship and spec AI features, LLM products, agents, copilots, and generative UX — including when to use a model vs.
andreaskelm/pm-brain
Plan customer discovery, turn interview snapshots into synthesis and evidence-based opportunities, build or update an Opportunity Solution Tree, map jobs and segments, and design RAT tests for the…
andreaskelm/pm-brain
Partner effectively with engineering and design — feasibility and scope negotiation, tech debt tradeoffs, design reviews, discovery with builders, and PRD handoffs that don't get thrown away.
andreaskelm/pm-brain
Plan, tighten, or review a product launch and go-to-market motion: rollout phases, beta and GA readiness, sales enablement, marketing launch, and release comms (internal and external).
andreaskelm/pm-brain
Define, sharpen, or audit a North Star metric and its input metrics tree, and decide which product metrics actually matter (leading vs.
andreaskelm/pm-brain
Write, draft, review, or fix OKRs (objectives and key results) for a team, product area, or quarter, and run weekly confidence check-ins, mid-cycle adjustments, and end-of-cycle grading.
Categories
Design and run product experiments at a practical PM level — A/B tests, hypothesis tests, rollouts, feature flags, and reading results without pretending to be a statistician. Experimentation is an agent skill from andreaskelm/pm-brain. Design and run product experiments at a practical PM level — A/B tests, hypothesis tests, rollouts, feature flags, and reading results without pretending to be a statistician.
Experimentation fits situations like: the user says A/B test; experiment design; hypothesis test; statistical significance.
Run `npx skills add andreaskelm/pm-brain --skill experimentation -a claude-code`. Or copy the skill folder (.claude/skills/experimentation in andreaskelm/pm-brain) into .claude/skills/experimentation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add andreaskelm/pm-brain --skill experimentation -a codex`. Or copy the skill folder (.claude/skills/experimentation in andreaskelm/pm-brain) into .agents/skills/experimentation 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 andreaskelm/pm-brain --skill experimentation -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, .gemini/skills/experimentation, .github/skills/experimentation and .opencode/skills/experimentation in your project.
SKILL.md names no scripts, command-line tools or credentials: Experimentation is instructions for the agent only.
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 has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 2.3k tokens (SKILL.md is roughly 9.3k 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 1.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Experimentation: Ab Test Analysis (nimrodfisher/data-analytics-skills, 470 stars), Measure Experiment Results (product-on-purpose/pm-skills, 716 stars), Experiment (ai-analyst-lab/ai-analyst, 304 stars) and Mkt Experiment (evolution-foundation/evo-nexus, 545 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
andreaskelm (a GitHub user) maintains it in andreaskelm/pm-brain, which has 234 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 9, 2026.
Source: andreaskelm/pm-brain on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.