working-with-marimo
Interactive development in marimo notebooks with validation loops. Use for creating/editing marimo notebooks and verifying execution.
浏览 pymc-labs 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
8收录技能的仓库 Stars 合计
5,526仓库 Forks
476平均每个技能的仓库 Stars
691同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Interactive development in marimo notebooks with validation loops. Use for creating/editing marimo notebooks and verifying execution.
Loads internal CausalPy example datasets. Use when the user needs example data or asks about available demos.
Selects the appropriate quasi-experimental method (DiD, ITS, SC) based on data structure and research questions. Use when the user is unsure which method to apply.
Performs placebo-in-time sensitivity analysis to validate causal claims. Use when checking model robustness, verifying lack of pre-intervention effects, or ensuring observed effects are not spurious.
Fits causal models, estimates impacts, and plots results using CausalPy. Use when performing analysis with DiD, ITS, SC, or RD.
A clear description of what this skill does and when to use it. Include specific trigger keywords and task types that should activate this skill. Be specific about capabilities so the AI can decide when to load...
Bayesian statistical modeling with PyMC v5+. Use when building probabilistic models, specifying priors, running MCMC inference, diagnosing convergence, or comparing models. Covers PyMC, ArviZ, pymc-bart, pymc-e...
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Ju...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。