dlab-cli
OfficialOptimize analytical decisions through parallel agent workflows
Data & Analytics#parallel processing#data science#model comparison#decision-pack#uncertainty detection
Authorpymc-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of ensuring robust analytical decisions by comparing multiple modeling approaches and identifying sources of uncertainty or convergence across those approaches.
Core Features & Use Cases
- Decision-Pack Configuration: Build and customize decision-packs that encapsulate the environment, prompts, and skills for autonomous agents.
- Parallel Agent Workflows: Run parallel agents with diverse approaches to model the same problem for robustness and comparison.
- Session Analysis: Examine the outputs, logs, and artifacts from a completed analysis session to understand and validate results.
Quick Start
Generate a new decision-pack using dlab create-dpack and design your agent system prompts for a specific data science workflow.
Dependency Matrix
Required Modules
dlab
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dlab-cli Download link: https://github.com/pymc-labs/decision-lab/archive/main.zip#dlab-cli Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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