High Stakes Analytics Decision Lab
High Stakes Analytics Decision Lab is an agent skill (a SKILL.md file) from limingrui679-design/high-stakes-analytics-decision-lab. Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions. It works with Claude Code and Codex and has 989 GitHub stars. Install it by copying the skill folder into your agent's skills directory.
- Data & analysis
- Actively maintained
Add this skill
Claude
Claude Code loads skills from ~/.claude/skills/ (all projects) or .claude/skills/ (one project):
git clone --depth 1 https://github.com/limingrui679-design/high-stakes-analytics-decision-lab.git
cp -r high-stakes-analytics-decision-lab/skills/high-stakes-analytics-decision-lab ~/.claude/skills/high-stakes-analytics-decision-lab # personal, or .claude/skills in a projectIn the Claude apps, zip the high-stakes-analytics-decision-lab folder and upload it under Customize > Skills > + > Upload a skill (code execution must be on).
ChatGPT / Codex
Codex reads skills from .agents/skills/ in a repo or ~/.agents/skills/ for every project:
git clone --depth 1 https://github.com/limingrui679-design/high-stakes-analytics-decision-lab.git
cp -r high-stakes-analytics-decision-lab/skills/high-stakes-analytics-decision-lab .agents/skills/high-stakes-analytics-decision-lab # repo; ~/.agents/skills for all projectsStandalone skills also load in the ChatGPT desktop app.
Cursor
Cursor loads skills from .cursor/skills/ (or ~/.cursor/skills/) and also reads .claude/skills/:
git clone --depth 1 https://github.com/limingrui679-design/high-stakes-analytics-decision-lab.git
cp -r high-stakes-analytics-decision-lab/skills/high-stakes-analytics-decision-lab .cursor/skills/high-stakes-analytics-decision-lab # project; ~/.cursor/skills for all projectsSource (checked Oct 7, 2026): code.claude.com/docs/en/skills (opens in a new tab), support.claude.com/en/articles/12512180-using-skills-in-claude (opens in a new tab), learn.chatgpt.com/docs/build-skills (opens in a new tab), cursor.com/docs/context/skills (opens in a new tab)
What this skill does
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions. Use when an agent must profile and safely prepare uploaded data, turn a real dataset or research question into a reproducible study, investigate drivers without overstating causality, validate a model, compare feasible actions under dependent uncertainty and tail risk, trace every parameter to evidence and approval, or produce an answer-first analytical report across…
When it triggers
- Use when an agent must profile and safely prepare uploaded data, turn a real dataset or research question into a reproducible study, investigate drivers without overstating causality, validate a model, compare feasible actions under depende
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What is the High Stakes Analytics Decision Lab skill?
High Stakes Analytics Decision Lab is an agent skill (a SKILL.md file) from limingrui679-design/high-stakes-analytics-decision-lab. Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions. It works with Claude Code and Codex and has 989 GitHub stars. Install it by copying the skill folder into your agent's skills directory. Its SKILL.md lives at github.com/limingrui679-design/high-stakes-analytics-decision-lab/skills/high-stakes-analytics-decision-lab.
How do I install the High Stakes Analytics Decision Lab skill?
Copy the high-stakes-analytics-decision-lab folder (the one containing SKILL.md) into ~/.claude/skills/ for Claude Code, .agents/skills/ for Codex or .cursor/skills/ for Cursor. The agent picks it up automatically when a task matches its description.
Is the High Stakes Analytics Decision Lab skill free?
Yes. The repository is open source under the MIT license.
Is High Stakes Analytics Decision Lab maintained?
The repository's most recent commit was on Aug 23, 2026. Its latest release is v1.1.2. appsgit only lists skills from repositories with a commit in the last six months.