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bn-fit-modify

13 stars 1 forks
21

Guide for Bayesian Network tasks involving structure learning, parameter fitting, intervention, and sampling. This skill should be used when working with pgmpy or similar libraries to recover DAG structures from data, fit conditional probability distributions, perform causal interventions (do-calculus), or sample from modified networks.

Also in: networking

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Installation for Agentic Skill

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skilz install letta-ai/skills/bn-fit-modify
skilz install letta-ai/skills/bn-fit-modify --agent opencode
skilz install letta-ai/skills/bn-fit-modify --agent codex
skilz install letta-ai/skills/bn-fit-modify --agent gemini

First time? Install Skilz: pip install skilz

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/letta-ai/skills
2. Copy the agent skill directory:
cp -r skills/ai/benchmarks/letta/terminal-bench-2/trajectory-feedback/bn-fit-modify ~/.claude/skills/
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Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Owner
letta-ai (GitHub)
Repository
skills
Stars
13
Forks
1
Type
Technical
Meta-Domain
data ai
Primary Domain
data analysis
Market Score
21
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