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Perform structured research and turn findings into an implementation plan.
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Based on SOC occupation classification
Review CausalPy pull requests end-to-end by classifying PR type, checking branch freshness, mergeability, remote CI, correctness, security, tests, docs, and maintainer concerns. Use when asked to review a PR, assess a branch before merge, summarize PR risks, or request changes.
Turn issues into PRs, handle commits, and run prek checks consistently.
Create, evaluate, and triage GitHub issues for CausalPy. Use when filing a bug, proposing an enhancement, analyzing existing issues, or splitting large work into parent-child sub-issues.
Bring a pull request to green by syncing with main, resolving conflicts safely, and fixing failing checks with CausalPy conventions.
Choose the appropriate CausalPy experiment class from a causal or impact question, data structure, treatment assignment, and identification assumptions. Use before writing analysis code when the method is not yet settled, including plain-English questions about whether a campaign, policy, or intervention worked.
Explore unfamiliar APIs, libraries, or implementation behavior with minimal reproducible examples and documented findings. Use when implementation details are unclear and can be resolved by reading docs, inspecting code, and running focused experiments.
| name | research-and-planning |
| description | Perform structured research and turn findings into an implementation plan. |
Use this skill to clarify requirements and produce a plan before implementation.
