Ab Test Analyzer
irinabuht12-oss/marketing-skills
Statistical significance calculator for A/B test results with sample size requirements, segment breakdowns, and hypothesis generation.
Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration.
Install AI Co Scientist
$ npx skills add sundial-org/skills --skill ai-co-scientist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/skills ai-co-scientist --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/sundial-org/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-co-scientist .claude/skills/ai-co-scientist && 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 "ai-co-scientist" agent skill from https://github.com/sundial-org/skills/tree/main/skills/ai-co-scientist into .claude/skills/ai-co-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-co-scientist", 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/sundial-org/skills/tree/main/skills/ai-co-scientistType 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 sundial-org/skills --skill ai-co-scientist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/skills ai-co-scientist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-co-scientist .agents/skills/ai-co-scientist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-co-scientist" agent skill from https://github.com/sundial-org/skills/tree/main/skills/ai-co-scientist into .agents/skills/ai-co-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-co-scientist", 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 sundial-org/skills --skill ai-co-scientist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/skills ai-co-scientist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-co-scientist .cursor/skills/ai-co-scientist && 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 "ai-co-scientist" agent skill from https://github.com/sundial-org/skills/tree/main/skills/ai-co-scientist into .cursor/skills/ai-co-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-co-scientist", 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/sundial-org/skills.git --path skills/ai-co-scientist--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 sundial-org/skills --skill ai-co-scientist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/skills ai-co-scientist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-co-scientist .gemini/skills/ai-co-scientist && 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 "ai-co-scientist" agent skill from https://github.com/sundial-org/skills/tree/main/skills/ai-co-scientist into .gemini/skills/ai-co-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-co-scientist", 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 sundial-org/skills ai-co-scientistInstalls 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 sundial-org/skills --skill ai-co-scientist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-co-scientist .github/skills/ai-co-scientist && 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 "ai-co-scientist" agent skill from https://github.com/sundial-org/skills/tree/main/skills/ai-co-scientist into .github/skills/ai-co-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-co-scientist", 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 sundial-org/skills --skill ai-co-scientist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sundial-org/skills ai-co-scientist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-co-scientist .opencode/skills/ai-co-scientist && 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 "ai-co-scientist" agent skill from https://github.com/sundial-org/skills/tree/main/skills/ai-co-scientist into .opencode/skills/ai-co-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-co-scientist", 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
ai-co-scientist- GitHub stars
- 153
- Token cost
- ~2.5k tokens
- SKILL.md length
- 620 words
- Files
- 49 (incl. scripts, references, assets)
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- None found
At a glance
Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration.
- Works in 8 steps: Plan Next Experiment → Write Experiment Code → Add Node to Tree → …
- Research project
- SKILL.md covers Core Principles, Session Initialization, Stage-Based Workflow and Experimentation Loop (Stage 3), plus 6 more sections
- Runs JavaScript, Shell and Python scripts from its folder; calls python, git and bash
What it does
AI Co Scientist is an agent skill from sundial-org/skills. Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration. Triggers on "research project", "scientific experiment", "run experiments", "AI scientist", "tree search experimentation", "systematic study".
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 55 other files, including scripts, reference files and assets (for example `assets/viz-template/template.js`, `examples/tree-example.json` and `references/paper-review.md`).
It sits in Marketing & SEO, covering A/B testing. The repository describes itself as: Claude Code Skills by Sundial.
When your agent uses it
- Research project
- Scientific experiment
- Run experiments
- Tree search experimentation
Example prompts
- “research project”
- “scientific experiment”
- “run experiments”
- “/ai-co-scientist”
Requirements
- Python 3
- Node.js
- A Bash shell
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- Plan Next Experiment
- Write Experiment Code
- Add Node to Tree
- Execute and Analyze
- Update Node Status
- Commit to Git
- Update Visualization
- Repeat
What it can do on your machine
Read from SKILL.md and the folder at commit 5a3bf9f. 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
Ships 4 files in scripts/ (JavaScript, Shell and Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
pythongitbash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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
AI Co Scientist loads about 2.5k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 620 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 620 words (~2,514 tokens).
“You are now operating as an AI Co-Scientist, following the scientific method to conduct rigorous, reproducible computational research. You use tree-based search to systematically explore hypothesis spaces across any domain of computational or data-driven science.”
- name
- ai-co-scientist
Files
SKILL.md and 48 other files (scripts, references, assets) in skills/ai-co-scientist of sundial-org/skills.
- SKILL.md
- assets/icml-template/refs.bib
- assets/icml-template/template.tex
- assets/viz-template/template.html
- assets/viz-template/template.js
- examples/tree-example.json
- references/paper-review.md
- references/paper-writing.md
- references/stages.md
- references/tree-operations.md
- scripts/__pycache__/tree.cpython-313.pyc
- scripts/__pycache__/visualize.cpython-313.pyc
- scripts/compile_latex.sh
- scripts/tree.py
- … and 35 more
Open the folder on GitHubat commit 5a3bf9f
Compare with similar skills
AI Co Scientist 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 |
|---|---|---|---|---|---|---|
| AI Co Scientist this skillsundial-org/skills | 153 | — | ~2.5k | Automated safety check: Pass | None | |
| Ab Test Analyzeririnabuht12-oss/marketing-skills | 4.1k | — | ~1.4k | Automated safety check: Pass | None | |
| Define Hypothesisproduct-on-purpose/pm-skills | 716 | — | ~966 | Automated safety check: Pass | Apache-2.0 | |
| A B Test DesignOwl-Listener/designer-skills | 2.9k | 1 repos | ~472 | Automated safety check: Pass | MIT | |
| Send Experiment Designeraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Experimentation Best Practicessanity-io/agent-toolkit | 188 | 1 repos | ~469 | Automated safety check: Pass | MIT |
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Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls.
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Related
Categories
Questions about AI Co Scientist
What does AI Co Scientist do?
Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration. AI Co Scientist is an agent skill from sundial-org/skills. Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration.
When should I use AI Co Scientist?
AI Co Scientist fits situations like: research project; scientific experiment; run experiments; tree search experimentation.
How do I install AI Co Scientist in Claude Code?
Run `npx skills add sundial-org/skills --skill ai-co-scientist -a claude-code`. Or copy the skill folder (skills/ai-co-scientist in sundial-org/skills) into .claude/skills/ai-co-scientist in your project. Claude Code loads it when a task matches its description.
How do I install AI Co Scientist in Codex?
Run `npx skills add sundial-org/skills --skill ai-co-scientist -a codex`. Or copy the skill folder (skills/ai-co-scientist in sundial-org/skills) into .agents/skills/ai-co-scientist in your project. Codex loads it when a task matches its description.
Can I use AI Co Scientist 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 sundial-org/skills --skill ai-co-scientist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-co-scientist, .gemini/skills/ai-co-scientist, .github/skills/ai-co-scientist and .opencode/skills/ai-co-scientist in your project.
What does AI Co Scientist need to run?
Going by SKILL.md and its folder, AI Co Scientist needs JavaScript, a shell and Python for the scripts in its folder and the command-line tools its instructions call (python, git and bash). Our summary lists: Python 3; Node.js; A Bash shell.
Does AI Co Scientist access the network?
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is AI Co Scientist 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does AI Co Scientist use?
No licence was found for AI Co Scientist or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does AI Co Scientist use?
About 2.5k tokens (SKILL.md is roughly 10k 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 7.9k tokens, read only when the agent opens those files.
What are the alternatives to AI Co Scientist?
Skills that share tags, products or a category with AI Co Scientist: Ab Test Analyzer (irinabuht12-oss/marketing-skills, 4.1k stars), Define Hypothesis (product-on-purpose/pm-skills, 716 stars), A B Test Design (Owl-Listener/designer-skills, 2.9k stars) and Send Experiment 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 AI Co Scientist?
sundial-org (a GitHub organization) maintains it in sundial-org/skills, which has 153 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on July 15, 2026.
Source: sundial-org/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.