adaptive-rejection-sampler

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Guidance for implementing Adaptive Rejection Sampling (ARS) algorithms. This skill should be used when implementing rejection sampling methods, log-concave distribution samplers, or statistical sampling algorithms that require envelope construction and adaptive updates. It provides procedural approaches, performance considerations, and verification strategies specific to ARS implementations.

Also in: ci cd

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install letta-ai/skills/adaptive-rejection-sampler

OpenCode (CLI) Fast

skilz install letta-ai/skills/adaptive-rejection-sampler --agent opencode

OpenAI Codex (CLI) Native

skilz install letta-ai/skills/adaptive-rejection-sampler --agent codex

Gemini CLI (Project) Project

skilz install letta-ai/skills/adaptive-rejection-sampler --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

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

Manual Installation

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/adaptive-rejection-sampler ~/.claude/skills/

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Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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