Repository
pymc-labs/CausalPy agent skills
- skills
- 12
- GitHub stars
- 1.2k
GitHub description: “A Python package for causal inference in quasi-experimental settings”
- Stars
- 1,200 (118 forks)
- Licence
- Apache-2.0
- Last push
- Oct 2026
- Created
- Sep 2022
- Homepage
- causalpy.readthedocs.io
- causal-inference
- pymc
- quasi-experimental
- quasi-experiments
Install all skills
npx skills add pymc-labs/CausalPyAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in pymc-labs/CausalPy, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Load built-in CausalPy example datasets for demos, tutorials, tests, and quick causal-analysis prototypes. | pymc-labs/ | 1.2k | — | ~587 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Review CausalPy pull requests end-to-end by classifying PR type, checking branch freshness, mergeability, remote CI, correctness, security, tests, docs, and maintainer concerns. | pymc-labs/ | 1.2k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Challenge causal claims through structured threat assessment, counterfactual reasoning, and CausalPy falsification checks. | pymc-labs/ | 1.2k | — | ~809 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance. | pymc-labs/ | 1.2k | 1 repo | ~442 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Detect, configure, and use the project's Python environment (uv by default, conda-compatible tool as a fallback). | pymc-labs/ | 1.2k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 6 | Explore unfamiliar APIs, libraries, or implementation behavior with minimal reproducible examples and documented findings. | pymc-labs/ | 1.2k | — | ~442 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | Create, evaluate, and triage GitHub issues for CausalPy. An agent skill from pymc-labs/CausalPy. | pymc-labs/ | 1.2k | — | ~254 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 8 | Fit, summarize, plot, and interpret a chosen CausalPy experiment. | pymc-labs/ | 1.2k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 9 | Interactive development in marimo notebooks with validation loops. | pymc-labs/ | 1.2k | — | ~357 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 10 | Choose the appropriate CausalPy experiment class from a causal or impact question, data structure, treatment assignment, and identification assumptions. | pymc-labs/ | 1.2k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 11 | 11.PR To Green Bring a pull request to green by syncing with main, resolving conflicts safely, and fixing failing checks with CausalPy conventions. | pymc-labs/ | 1.2k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 12 | 12.PR Workflows Turn issues into PRs, handle commits, and run prek checks consistently. | pymc-labs/ | 1.2k | — | ~121 | Automated safety check: Pass | Apache-2.0 | yesterday |
Questions, answered from the data.
What is the best skill in pymc-labs/CausalPy?
Example Datasets from pymc-labs/CausalPy ranks first of the 12 skills in pymc-labs/CausalPy listed here, with the highest score: its repository has 1.2k GitHub stars, its SKILL.md loads about 587 tokens and it passes the automated safety check with no findings. Next come Review PR and Causal Detective.
Are the skills in pymc-labs/CausalPy official?
None yet. All 12 skills in pymc-labs/CausalPy listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from pymc-labs/CausalPy?
Run npx skills add pymc-labs/CausalPy in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.