agentlightning-skill
Agent Lightning를 사용하여 AI 에이전트를 자동으로 최적화하는 방법을 제공합니다.
Best use case
agentlightning-skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Agent Lightning를 사용하여 AI 에이전트를 자동으로 최적화하는 방법을 제공합니다.
Teams using agentlightning-skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agentlightning-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agentlightning-skill Compares
| Feature / Agent | agentlightning-skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Agent Lightning를 사용하여 AI 에이전트를 자동으로 최적화하는 방법을 제공합니다.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Agent Lightning 이 문서는 프롬프트 자동 최적화 프레임워크인 Agent lightning을 어떻게 사용하는지 설명합니다. Agent Lightning is the absolute trainer to light up AI agents. - Embraces **Algorithms** like Reinforcement Learning, Automatic Prompt Optimization, Supervised Fine-tuning and more. 🤗 ## How to Read this Documentation This documentation is organized into the following parts: - 전반적인 agentlightning 원리와 사용방법, 개념: [Write First Algorithm](how-to/write-first-algorithm.md) How-to Recipes (e.g., [Train SQL Agent with RL](how-to/train-sql-agent.md)) - Practical examples of training agents and customizing algorithms. - Learning More (e.g., [Debugging](tutorials/debug.md)) - Guides on specific topics like debugging or parallelization. - Algorithm Zoo (e.g., [APO](algorithm-zoo/apo.md)) - References for built-in algorithms. - Deep Dive (e.g., [Bird's Eye View](deep-dive/birds-eye-view.md)) - For a deeper understanding of what Agent-lightning is doing under the hood.
Related Skills
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.
aegis-protocol-ratification
Ratify AEGIS protocol governance frameworks.
aegis-architect
Enhanced architecture guidance for voice-first Brazilian fintech applications. Use when designing voice interfaces, implementing PIX/Boletos, optimizing financial systems, or making technology stack decisions for Brazilian market applications. Integrates with docs/ content, MCP tools for Brazilian market research, enhanced validation scripts, and comprehensive Brazilian compliance patterns.
ae-sdd-init
Initialize a new SDD change set after user-approved naming
adynato-web
Web development conventions for Adynato projects. Covers image optimization with img4web, asset management, component patterns, styling, and performance best practices. Use when building or modifying web applications, adding images/assets, or creating UI components.
adynato-mobile
Mobile app development conventions for Adynato projects using React Native and Expo. Covers navigation patterns, native APIs, performance optimization, and platform-specific considerations. Use when building or modifying mobile applications.
adw-design
Guide creation of AI Developer Workflows (ADWs) that combine deterministic orchestration code with non-deterministic agents. Use when building automated development pipelines, designing AFK agent systems, or implementing the PITER framework.
advocacy-roster-system
Scoring and governance framework for managing reference customers and advocacy cohorts.
adventure
Room-based exploration with narrative evidence collection
advanced_tools
Use when finding files by name, searching code content, locating patterns with regex, exploring codebase, or batch refactoring across multiple files. Conforms to docs/reference/skill-routing-value-standard.md.
advanced-workflows
Multi-tool orchestration patterns for complex Bluera Knowledge operations. Teaches progressive library exploration, adding libraries with job monitoring, handling large result sets, multi-store searches, and error recovery workflows.
Advanced Typescript Type Level
Master TypeScript type-level programming with conditional types, mapped types, template literals, and infer patterns. Use when writing advanced types, creating utility types, or solving complex type challenges.