research-and-planning

Perform structured research and turn findings into an implementation plan.

跳到安装查看文件

仓库: pymc-labs/CausalPy
最近来源活动: 2026年6月8日 13:06
检测到的 SKILL.md 语言: 英语
星标: 1,197
分支: 117

安装方式

默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。

用 Codex 或 Claude 帮你安装复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。

直接命令不会经过审查 Prompt；运行前请先检查来源。

npx skills add https://github.com/pymc-labs/CausalPy --skill research-and-planning

命令会保持在同一行。复制前请横向滚动并检查完整内容。

想先保存到本地？可下载 SkillsMP 当前能够提供的文件。

检查来源文件

决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。

文件资源管理器

3 个文件

SKILL.md

来源说明 · 只读预览

name: research-and-planning
description: Perform structured research and turn findings into an implementation plan.

# Research and Planning Use this skill to clarify requirements and produce a plan before implementation. ## References - [Research workflow](reference/research.md) - [Plan creation workflow](reference/make-plan.md)

在 GitHub 查看

返回搜索返回安装

review-pr

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.

2026-09-26

causal-detective

Challenge causal claims through structured threat assessment, counterfactual reasoning, and CausalPy falsification checks. Use when validating whether a causal effect is real or when the user asks "is this effect real?" or "can I trust this result?"

2026-09-26

choosing-causalpy-methods

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.

2026-09-26

查看这个仓库的全部 Skills

research-and-planning

来源信息

安装方式

检查来源文件

同仓库更多 Skills

同仓库更多 Skills