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pymc-labs/CausalPy
Skills
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| # | 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 |
