Lite Research Skill
This skill performs quick research by searching the web and reading the top results using built-in tools with advanced search strategies.
When to Use This Skill
Use this skill when the user says "research " (but NOT "deep research"). This skill:
- - Uses websearch to find results for multiple related queries using search best practices
- Uses webfetch to read the top 5 results for each query
- Does NOT spawn sub-agents
- Provides a summary of findings with sources
Advanced Search Strategy
Instead of basic queries, this skill uses research-proven techniques and limits queries to maximum 5:
1. Query Variations with Synonyms and Alternatives
For a topic like "artificial intelligence", create 2-5 queries like:
- - "artificial intelligence" OR "AI" OR "machine learning"
- "artificial intelligence" overview introduction basics
- "artificial intelligence" recent developments 2024 2025
- "artificial intelligence" challenges problems issues
- "artificial intelligence" applications uses examples
Limit: Maximum 5 queries total to balance thoroughness with efficiency.
2. Boolean Operators and Search Techniques
- - Use OR for synonyms: "climate change" OR "global warming"
- Use quotation marks for exact phrases
- Include both singular and plural forms
- Add time constraints when relevant
3. Alternative Terminology
Consider:
- - Different spellings (globalization vs globalisation)
- Technical vs common terms ("myocardial infarction" vs "heart attack")
- Regional variations ("university" vs "college")
- Historical terminology changes
4. Multi-Perspective Approach
Create queries from different angles:
- - Basic overview: "{topic} overview introduction"
- Current state: "{topic} 2024 2025 recent developments"
- Critical analysis: "{topic} challenges problems issues"
- Applications: "{topic} applications uses examples"
Implementation Workflow
When user says "research ":
- 1. Analyze the topic - identify key concepts and potential synonyms
- 2. Create 2-5 strategic queries maximum using:
- Synonyms with OR operators
- Different query types (overview, recent, critical, applications)
- Time-specific terms when relevant
- Quotation marks for exact phrases
-
Important: Never exceed 5 distinct queries
- 3. Execute searches with count=5 for each query (max 5 queries total)
- 4. Fetch and analyze content from results
- 5. Compile findings focusing on:
- Key concepts and definitions
- Current developments and trends
- Different perspectives and applications
- Notable challenges or controversies
Example Queries for "renewable energy"
- - "renewable energy" OR "clean energy" OR "green energy"
- "renewable energy" overview introduction "current state"
- "renewable energy" 2024 2025 "recent developments" trends
- "renewable energy" challenges problems limitations issues
- "renewable energy" applications examples projects case studies
Maximum 5 queries total - adjust based on topic complexity and available information.
Important Notes
- - Only triggers on "research" commands, not "deep research"
- Never spawn sub-agents - use direct tool calls
- Focus on comprehensive but quick overview
- Provide sources and URLs for transparency
- Adapt query strategy based on topic complexity
Lite Research 技能
该技能通过使用内置工具和高级搜索策略,搜索网络并阅读排名靠前的结果,从而执行快速研究。
何时使用该技能
当用户说研究<主题>(但不是深度研究)时使用该技能。该技能:
- - 使用 websearch 按照搜索最佳实践查找多个相关查询的结果
- 使用 webfetch 读取每个查询的前 5 个结果
- 不生成子代理
- 提供包含来源的研究结果摘要
高级搜索策略
该技能不使用基本查询,而是采用经过研究验证的技术,并将查询限制在最多 5 个:
1. 使用同义词和替代词的查询变体
对于人工智能这样的主题,创建 2-5 个查询,例如:
- - artificial intelligence OR AI OR machine learning
- artificial intelligence overview introduction basics
- artificial intelligence recent developments 2024 2025
- artificial intelligence challenges problems issues
- artificial intelligence applications uses examples
限制:总共最多 5 个查询,以平衡全面性与效率。
2. 布尔运算符和搜索技巧
- - 使用 OR 表示同义词:climate change OR global warming
- 使用引号表示精确短语
- 包含单数和复数形式
- 在相关时添加时间限制
3. 替代术语
考虑:
- - 不同拼写(globalization vs globalisation)
- 技术术语与常用术语(myocardial infarction vs heart attack)
- 地区差异(university vs college)
- 历史术语变化
4. 多视角方法
从不同角度创建查询:
- - 基本概述:{topic} overview introduction
- 当前状态:{topic} 2024 2025 recent developments
- 批判性分析:{topic} challenges problems issues
- 应用:{topic} applications uses examples
实施工作流程
当用户说研究<主题>时:
- 1. 分析主题 - 识别关键概念和潜在同义词
- 2. 最多创建 2-5 个战略性查询,使用:
- 带 OR 运算符的同义词
- 不同的查询类型(概述、近期、批判性、应用)
- 相关时的时间特定术语
- 精确短语的引号
-
重要:切勿超过 5 个不同的查询
- 3. 执行搜索,每个查询设置 count=5(总共最多 5 个查询)
- 4. 获取并分析结果中的内容
- 5. 整理研究发现,重点关注:
- 关键概念和定义
- 当前发展和趋势
- 不同观点和应用
- 显著的挑战或争议
可再生能源的示例查询
- - renewable energy OR clean energy OR green energy
- renewable energy overview introduction current state
- renewable energy 2024 2025 recent developments trends
- renewable energy challenges problems limitations issues
- renewable energy applications examples projects case studies
总共最多 5 个查询 - 根据主题复杂性和可用信息进行调整。
重要说明
- - 仅在研究命令上触发,而非深度研究
- 绝不生成子代理 - 使用直接工具调用
- 专注于全面但快速的概述
- 提供来源和 URL 以确保透明度
- 根据主题复杂性调整查询策略