来源信息
- 仓库
- ffsshhttiikk/opencode-agents-skills
- 最近来源活动
- 2026年2月28日 22:52
- 检测到的 SKILL.md 语言
- 英语
- 星标
- 3
- Forks
- 2
安装方式
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
检查来源文件
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
正在显示 SKILL.md
SKILL.md
来源说明 · 只读预览- name
- llms
- description
- Large language models basics
- license
- MIT
- compatibility
- opencode
- metadata
- {"audience":"machine-learning-engineers","category":"artificial-intelligence"}
## What I do
- Apply LLMs to solve problems
- Design LLM applications
- Create effective prompts
- Evaluate LLM outputs
- Optimize LLM usage
## When to use me
Use me when:
- Building AI-powered products
- Automating text tasks
- Need natural language understanding
## Key Concepts
### LLM Capabilities
- **Text generation**: Complete, continue, summarize
- **Question answering**: Extract, generate
- **Translation**: Multilingual
- **Classification**: Sentiment, intent
- **Code**: Generation, completion
- **Reasoning**: Chain-of-thought
### Model Selection
- **GPT-4**: General purpose, strong reasoning
- **Claude**: Helpful, Claude constitutional AI
- **LLaMA**: Open source, efficient
- **Mistral**: Fast, open source
- **Code models**: CodeGen, CodeLlama
### Cost Optimization
- Use smaller models when possible
- Implement caching
- Batch requests
- Optimize prompt length
- Use streaming for long outputs
在 GitHub 查看