Agent skill · AI & Agents

bayesian-network-analyzer

Bayesian network construction and inference skill for probabilistic reasoning, causal analysis, and belief updating

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill bayesian-network-analyzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: -Read-Write-Glob-Grep-Bash
Path: library/specializations/domains/business/decision-intelligence/skills/bayesian-network-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Bayesian Network Analyzer ## Overview The Bayesian Network Analyzer skill provides comprehensive capabilities for constructing, analyzing, and reasoning with Bayesian networks. It enables probabilistic inference, causal effect estimation, and belief updating based on new evidence, supporting data-driven decision-making under uncertainty. ## Capabilities - DAG structure learning from data - Conditional probability table estimation - Belief propagation and inference - Causal effect estimation - Sensitivity to evidence analysis - What-if scenario evaluation - Network visualization - Integration with external data sources ## Used By Processes - Structured Decision Making Process - Predictive Analytics Implementation - Decision Quality Assessment - Cognitive Bias Debiasing Process ## Usage ### Network Structure Definition ```python # Define network structure network_structure = { "nodes": [ {"name": "MarketCondition", "states": ["Favorable", "Unfavorable"]}, {"name": "CompetitorAction", "states": ["Aggressive", "Passive"]}, {"name": "ProductSuccess", "states": ["High", "Medium", "Low"]} ], "edges": [ {"from": "MarketCondition", "to": "ProductSuccess"}, {"from": "CompetitorAction", "to

What's inside
Steps it walks through
  1. Overview
  2. Capabilities
  3. Used By Processes
  4. Usage
  5. Network Structure Definition
  6. Conditional Probability Tables
  7. Inference Queries
  8. Structure Learning
  9. Causal Analysis
  10. Input Schema
  11. Output Schema
  12. Best Practices
  13. Integration Points
More from babysitter
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About this skill
What does the bayesian-network-analyzer skill do?

Bayesian network construction and inference skill for probabilistic reasoning, causal analysis, and belief updating

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill bayesian-network-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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