Choosing Causalpy Methods
pymc-labs/CausalPy
Choose the appropriate CausalPy experiment class from a causal or impact question, data structure, treatment assignment, and identification assumptions.
Agent skill
Choosing Causalpy Methods
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions.
Custom licenceAuto-check passed
Install Choosing Causalpy Methods
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill choosing-causalpy-methods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills choosing-causalpy-methods --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods .claude/skills/choosing-causalpy-methods && 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 "choosing-causalpy-methods" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods into .claude/skills/choosing-causalpy-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "choosing-causalpy-methods", 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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methodsType 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill choosing-causalpy-methods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills choosing-causalpy-methods --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods .agents/skills/choosing-causalpy-methods && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "choosing-causalpy-methods" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods into .agents/skills/choosing-causalpy-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "choosing-causalpy-methods", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill choosing-causalpy-methods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills choosing-causalpy-methods --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods .cursor/skills/choosing-causalpy-methods && 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 "choosing-causalpy-methods" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods into .cursor/skills/choosing-causalpy-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "choosing-causalpy-methods", 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/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods--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 brycewang-stanford/Auto-Empirical-Research-Skills --skill choosing-causalpy-methods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills choosing-causalpy-methods --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods .gemini/skills/choosing-causalpy-methods && 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 "choosing-causalpy-methods" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods into .gemini/skills/choosing-causalpy-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "choosing-causalpy-methods", 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 brycewang-stanford/Auto-Empirical-Research-Skills choosing-causalpy-methodsInstalls 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill choosing-causalpy-methods -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods .github/skills/choosing-causalpy-methods && 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 "choosing-causalpy-methods" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods into .github/skills/choosing-causalpy-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "choosing-causalpy-methods", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill choosing-causalpy-methods -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills choosing-causalpy-methods --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods .opencode/skills/choosing-causalpy-methods && 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 "choosing-causalpy-methods" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods into .opencode/skills/choosing-causalpy-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "choosing-causalpy-methods", 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
choosing-causalpy-methods- GitHub stars
- 4.5k
- Token cost
- ~807 tokens
- SKILL.md length
- 363 words
- Files
- 2
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions.
- Works in 5 steps: Restate the estimand: ATE, ATT, local… → Identify the data shape: single time… → Identify treatment assignment: known… → …
- SKILL.md covers Intake Checklist, Fast Routing, Output Pattern and References
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Choosing Causalpy Methods is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions. Use before writing analysis code when the method is not yet settled.
Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `reference/experiment_decision_guide.md`).
The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
Example prompts
- “/choosing-causalpy-methods”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Restate the estimand: ATE, ATT, local threshold effect, treatment-on-treated over time, cumulative impact, or a policy/campaign lift.
- Identify the data shape: single time series, wide panel of units, long panel of unit-time rows, cross-section, or pre/post group data.
- Identify treatment assignment: known intervention time, staggered adoption, threshold/cutoff, kink, instrument, observed treatment with…
- Check the identifying story: parallel trends, no anticipation, no manipulation at cutoff, valid instrument, overlap/positivity, convex…
- Recommend one primary CausalPy experiment and any plausible alternatives, then explain the extra data or assumptions needed to choose…
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. 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
Choosing Causalpy Methods loads about 807 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 363 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 363 words (~807 tokens).
“Use this skill to translate a user's causal question into a CausalPy experiment choice. This is the design-intake skill, not the implementation skill. Once the method is chosen, hand off to running-causalpy-experiments for constructor details, model configuration, priors, summaries, plots…”
- name
- choosing-causalpy-methods
Files
SKILL.md and 1 other file in skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- reference/experiment_decision_guide.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Choosing Causalpy Methods 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 |
|---|---|---|---|---|---|---|
| Choosing Causalpy Methods this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~807 | Automated safety check: Pass | Custom licence | |
| Choosing Causalpy Methodspymc-labs/CausalPy | 1.2k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Running Causalpy Experimentspymc-labs/CausalPy | 1.2k | 1 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Finding ExperimentsPostHog/posthog | 40k | — | ~826 | Automated safety check: Pass | Custom licence | |
| ExperimentsArize-ai/phoenix | 12k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Scroll Experiencesickn33/agentic-awesome-skills | 47k | 2 repos | ~534 | Automated safety check: Pass | MIT |
Similar skills
Running Causalpy Experiments
pymc-labs/CausalPy
Fit, summarize, plot, and interpret a chosen CausalPy experiment.
- Official
Finding Experiments
PostHog/posthog
Resolves a PostHog experiment reference from natural language to a concrete experiment ID by browsing experiment-list (not feature-flag tools), with disambiguation when multiple experiments match.
Experiments
Arize-ai/phoenix
Run, read, and compare dataset-backed experiments to find evidence that a prompt or pipeline is improving.
Scroll Experience
sickn33/agentic-awesome-skills
Expert in building immersive scroll-driven experiences - parallax storytelling, scroll animations, interactive narratives, and cinematic web experiences.
Webgl Experience
nexu-io/open-design
A full-screen, real-time WebGL/WebGL2 experience — animated shaders, 3D scenes, generative visuals, particle fields — rendered live on the GPU with a typographic overlay.
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Questions about Choosing Causalpy Methods
What does Choosing Causalpy Methods do?
Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions. Choosing Causalpy Methods is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions.
How do I install Choosing Causalpy Methods in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill choosing-causalpy-methods -a claude-code`. Or copy the skill folder (skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/choosing-causalpy-methods in your project. Claude Code loads it when a task matches its description.
How do I install Choosing Causalpy Methods in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill choosing-causalpy-methods -a codex`. Or copy the skill folder (skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/choosing-causalpy-methods in your project. Codex loads it when a task matches its description.
Can I use Choosing Causalpy Methods 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill choosing-causalpy-methods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/choosing-causalpy-methods, .gemini/skills/choosing-causalpy-methods, .github/skills/choosing-causalpy-methods and .opencode/skills/choosing-causalpy-methods in your project.
What does Choosing Causalpy Methods need to run?
SKILL.md names no scripts, command-line tools or credentials: Choosing Causalpy Methods is instructions for the agent only.
Does Choosing Causalpy Methods 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 Choosing Causalpy Methods 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 Choosing Causalpy Methods use?
Choosing Causalpy Methods has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Choosing Causalpy Methods use?
About 807 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 Choosing Causalpy Methods?
Skills that share tags, products or a category with Choosing Causalpy Methods: Choosing Causalpy Methods (pymc-labs/CausalPy, 1.2k stars), Running Causalpy Experiments (pymc-labs/CausalPy, 1.2k stars), Finding Experiments (PostHog/posthog, 40k stars) and Experiments (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Choosing Causalpy Methods?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.