Claim-Driven Experiment Planner
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
Generates testable research hypotheses and experimental designs.
$ npx skills add liangdabiao/claude-data-analysis-ultra-main --skill hypothesis-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main hypothesis-generator --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/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/hypothesis-generator .claude/skills/hypothesis-generator && 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 "hypothesis-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/hypothesis-generator into .claude/skills/hypothesis-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hypothesis-generator", 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/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/hypothesis-generatorType 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 liangdabiao/claude-data-analysis-ultra-main --skill hypothesis-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main hypothesis-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/hypothesis-generator .agents/skills/hypothesis-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hypothesis-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/hypothesis-generator into .agents/skills/hypothesis-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hypothesis-generator", 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 liangdabiao/claude-data-analysis-ultra-main --skill hypothesis-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main hypothesis-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/hypothesis-generator .cursor/skills/hypothesis-generator && 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 "hypothesis-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/hypothesis-generator into .cursor/skills/hypothesis-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hypothesis-generator", 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/liangdabiao/claude-data-analysis-ultra-main.git --path .claude/skills/hypothesis-generator--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 liangdabiao/claude-data-analysis-ultra-main --skill hypothesis-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main hypothesis-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/hypothesis-generator .gemini/skills/hypothesis-generator && 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 "hypothesis-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/hypothesis-generator into .gemini/skills/hypothesis-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hypothesis-generator", 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 liangdabiao/claude-data-analysis-ultra-main hypothesis-generatorInstalls 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 liangdabiao/claude-data-analysis-ultra-main --skill hypothesis-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/hypothesis-generator .github/skills/hypothesis-generator && 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 "hypothesis-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/hypothesis-generator into .github/skills/hypothesis-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hypothesis-generator", 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 liangdabiao/claude-data-analysis-ultra-main --skill hypothesis-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main hypothesis-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/hypothesis-generator .opencode/skills/hypothesis-generator && 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 "hypothesis-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/hypothesis-generator into .opencode/skills/hypothesis-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hypothesis-generator", 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.
hypothesis-generatorGenerates testable research hypotheses and experimental designs.
Hypothesis Generator is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Generates testable research hypotheses and experimental designs. Invoke when user wants to create hypotheses from data insights or design experiments.
Its SKILL.md is about 900 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 Research & Science, covering Experimental design and Hypothesis generation. The repository describes itself as: 让小白都可以一键进行数据分析,搞互联网的,搞电商的,搞各种各样的,那么其实就会用到 互联网的数据分析, 例如互联网会关心 拉新,留存,促活,推荐,转化,A/B test, 用户分析 等等很多有用的数据分析。
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6b52856. 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.
Hypothesis Generator loads about 903 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 365 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 365 words (~903 tokens).
“Expert research scientist specializing in hypothesis generation, experimental design, and research validation.”
Just SKILL.md in .claude/skills/hypothesis-generator of liangdabiao/claude-data-analysis-ultra-main.
Open the folder on GitHubat commit 6b52856
Hypothesis Generator 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 |
|---|---|---|---|---|---|---|
| Hypothesis Generator this skillliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~903 | Automated safety check: Pass | None | |
| Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine | 128 | 6 repos | ~2.3k | Automated safety check: Notes | None | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Research RefinezjYao36/Auto-Research-Refine | 128 | 6 repos | ~6.9k | Automated safety check: Notes | None | |
| Scientific BrainstormingOleafly/Oleafly | 209 | 2 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Academic GrillExekiel179/psyclaw | 103 | — | ~2k | Automated safety check: Pass | MIT |
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
aiming-lab/AutoResearchClaw
Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
zjYao36/Auto-Research-Refine
Turns a vague research direction into a focused, problem-anchored method plan through up to five review rounds with a second model.
Oleafly/Oleafly
Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs.
Exekiel179/psyclaw
Stress-test an academic research question, proposal, study design, analysis plan, manuscript claim, review protocol, or AI research project through a one-question-at-a-time interview until its…
davila7/claude-code-templates
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication.
liangdabiao/claude-data-analysis-ultra-main
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities.
liangdabiao/claude-data-analysis-ultra-main
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.
liangdabiao/claude-data-analysis-ultra-main
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models.
liangdabiao/claude-data-analysis-ultra-main
Generates production-ready analysis code in Python, R, SQL. An agent skill from liangdabiao/claude-data-analysis-ultra-main.
liangdabiao/claude-data-analysis-ultra-main
Analyze text content using both traditional NLP and LLM-enhanced methods.
liangdabiao/claude-data-analysis-ultra-main
Performs exploratory data analysis, statistical analysis, and pattern discovery.
Categories
Generates testable research hypotheses and experimental designs. Hypothesis Generator is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Generates testable research hypotheses and experimental designs.
Hypothesis Generator fits situations like: wants to create hypotheses from data insights; design experiments.
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill hypothesis-generator -a claude-code`. Or copy the skill folder (.claude/skills/hypothesis-generator in liangdabiao/claude-data-analysis-ultra-main) into .claude/skills/hypothesis-generator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill hypothesis-generator -a codex`. Or copy the skill folder (.claude/skills/hypothesis-generator in liangdabiao/claude-data-analysis-ultra-main) into .agents/skills/hypothesis-generator 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 liangdabiao/claude-data-analysis-ultra-main --skill hypothesis-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hypothesis-generator, .gemini/skills/hypothesis-generator, .github/skills/hypothesis-generator and .opencode/skills/hypothesis-generator in your project.
SKILL.md names no scripts, command-line tools or credentials: Hypothesis Generator 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.
No licence was found for Hypothesis Generator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 903 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Hypothesis Generator: Claim-Driven Experiment Planner (zjYao36/Auto-Research-Refine, 128 stars), Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars), Research Refine (zjYao36/Auto-Research-Refine, 128 stars) and Scientific Brainstorming (Oleafly/Oleafly, 209 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
liangdabiao (a GitHub user) maintains it in liangdabiao/claude-data-analysis-ultra-main, which has 290 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 10, 2026.
Source: liangdabiao/claude-data-analysis-ultra-main on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.