Experiment
menkesu/awesome-pm-skills
Designs, sanity-checks and reads out product experiments (A/B tests, holdouts, pre/post, geo and incrementality tests) and produces an experiment brief plus a readout with a ship / hold / replicate…
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call.
Install Ab Test Readout
$ npx skills add mohitagw15856/pm-claude-skills --skill ab-test-readout -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ab-test-readout --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ab-test-readout .claude/skills/ab-test-readout && 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 "ab-test-readout" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ab-test-readout into .claude/skills/ab-test-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-readout", 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/mohitagw15856/pm-claude-skills/tree/main/skills/ab-test-readoutType 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 mohitagw15856/pm-claude-skills --skill ab-test-readout -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ab-test-readout --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ab-test-readout .agents/skills/ab-test-readout && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ab-test-readout" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ab-test-readout into .agents/skills/ab-test-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-readout", 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 mohitagw15856/pm-claude-skills --skill ab-test-readout -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ab-test-readout --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ab-test-readout .cursor/skills/ab-test-readout && 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 "ab-test-readout" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ab-test-readout into .cursor/skills/ab-test-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-readout", 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/mohitagw15856/pm-claude-skills.git --path skills/ab-test-readout--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 mohitagw15856/pm-claude-skills --skill ab-test-readout -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ab-test-readout --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ab-test-readout .gemini/skills/ab-test-readout && 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 "ab-test-readout" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ab-test-readout into .gemini/skills/ab-test-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-readout", 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 mohitagw15856/pm-claude-skills ab-test-readoutInstalls 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 mohitagw15856/pm-claude-skills --skill ab-test-readout -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ab-test-readout .github/skills/ab-test-readout && 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 "ab-test-readout" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ab-test-readout into .github/skills/ab-test-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-readout", 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 mohitagw15856/pm-claude-skills --skill ab-test-readout -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ab-test-readout --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ab-test-readout .opencode/skills/ab-test-readout && 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 "ab-test-readout" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ab-test-readout into .opencode/skills/ab-test-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-readout", 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.
Facts
- Skill name
ab-test-readout- GitHub stars
- 1.4k
- Token cost
- ~791 tokens
- SKILL.md length
- 362 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call.
- Works in 5 steps: Verdict (one line) → The result → Did it really win? → …
- Asked to analyse experiment results
- SKILL.md covers Working from a brief, Required Inputs, Output Format and Quality Checks, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ab Test Readout is an agent skill from mohitagw15856/pm-claude-skills. Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.
Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering A/B testing. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked to analyse experiment results
- Write an A/B test readout
- Interpret test data
- Decide whether to ship a variant
Example prompts
- “/ab-test-readout”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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.
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.
Context cost
Ab Test Readout loads about 791 tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 362 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.
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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 362 words, ~791 tokens.
Download SKILL.mdSave it as
.claude/skills/ab-test-readout/SKILL.md (or your agent's skills folder).- name
- ab-test-readout
- description
- Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.
A/B Test Readout Skill
The hard part of an experiment is the readout: not "B won" but "is this real, is it big enough to matter, and should we ship?" This skill turns results into an honest decision — and flags the ways A/B results lie.
Working from a brief
Given results (even partial), write the full readout anyway. If significance isn't provided, reason about it from the numbers and flag what's needed to confirm. Mark assumed figures. Never declare a winner without addressing significance and sample.
Required Inputs
Ask for (if not already provided):
- The hypothesis and the primary metric
- Results — control vs variant: conversions/rate, sample size per arm, duration
- Guardrail metrics (revenue, retention, latency, complaints) that mustn't regress
- Pre-registered decision rule (what would count as a win) if one exists
Output Format
1. Verdict (one line)
Ship / Don't ship / Inconclusive — keep running — with the headline number.
2. The result
| Metric | Control | Variant | Relative lift | Significant? |
|---|---|---|---|---|
| Primary | p / CI | |||
| Guardrail(s) |
State statistical significance (p-value / confidence interval) and practical significance (is the lift big enough to matter given the cost?).
3. Did it really win?
Address the ways A/B tests mislead:
- Sample / power — was the test adequately powered, or under-sampled?
- Peeking — was the call made early, inflating false positives?
- Novelty / primacy — could the effect fade?
- Segments — does the win hold across key segments, or is it driven by one?
Show full SKILL.md (134 more words)Show less
4. Segment cuts
Where the effect is strong vs flat vs negative (new vs returning, platform, geography).
5. Recommendation & next step
Ship / iterate / re-run, plus what to monitor post-launch or what the follow-up test should isolate.
Quality Checks
- Distinguishes statistical from practical significance
- Checks guardrail metrics, not just the primary
- Flags peeking, power, novelty, and segment-driven wins
- Recommendation follows from the evidence, with a monitoring/next-test step
- Doesn't declare a winner on an underpowered or peeked result
Anti-Patterns
- "B won by 8%!" with no significance or sample size
- Calling a result early (peeking) and shipping
- Ignoring a guardrail regression because the primary went up
- A statistically significant but practically meaningless lift treated as a win
Example Trigger Phrases
- "Analyse experiment results."
- "Write an A/B test readout."
- "Interpret test data."
- "Decide whether to ship a variant."
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/ab-test-readout of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Ab Test Readout 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 |
|---|---|---|---|---|---|---|
| Ab Test Readout this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~791 | Automated safety check: Pass | MIT | |
| Experimentmenkesu/awesome-pm-skills | 434 | — | ~5.2k | Automated safety check: Pass | Custom licence | |
| Ab Testingcoreyhaines31/marketingskills | 54k | 3 repos | ~3.1k | Automated safety check: Pass | MIT | |
| AnalyticsNexus-JPF/note-companion | 870 | 7 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Ad Test Designeraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Ab Test Analyzeririnabuht12-oss/marketing-skills | 4.1k | — | ~1.4k | Automated safety check: Pass | None |
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Related
Categories
Questions about Ab Test Readout
What does Ab Test Readout do?
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Ab Test Readout is an agent skill from mohitagw15856/pm-claude-skills. Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call.
When should I use Ab Test Readout?
Ab Test Readout fits situations like: asked to analyse experiment results; write an A/B test readout; interpret test data; decide whether to ship a variant.
How do I install Ab Test Readout in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ab-test-readout -a claude-code`. Or copy the skill folder (skills/ab-test-readout in mohitagw15856/pm-claude-skills) into .claude/skills/ab-test-readout in your project. Claude Code loads it when a task matches its description.
How do I install Ab Test Readout in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ab-test-readout -a codex`. Or copy the skill folder (skills/ab-test-readout in mohitagw15856/pm-claude-skills) into .agents/skills/ab-test-readout in your project. Codex loads it when a task matches its description.
Can I use Ab Test Readout 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 mohitagw15856/pm-claude-skills --skill ab-test-readout -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-test-readout, .gemini/skills/ab-test-readout, .github/skills/ab-test-readout and .opencode/skills/ab-test-readout in your project.
What does Ab Test Readout need to run?
SKILL.md names no scripts, command-line tools or credentials: Ab Test Readout is instructions for the agent only.
Does Ab Test Readout 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 Test Readout 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 Test Readout use?
Ab Test Readout is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ab Test Readout use?
About 791 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Ab Test Readout?
Skills that share tags, products or a category with Ab Test Readout: Experiment (menkesu/awesome-pm-skills, 434 stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Analytics (Nexus-JPF/note-companion, 870 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 Test Readout?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.