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lite-research精简研究

Agent Skill

lite-research 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,966

周安装

209

GitHub Stars

公开资料未说明

下载量

1,739
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lite-research(精简研究)
来源仓库:https://github.com/chand1012/lite-research
安装命令:
openclaw skills install lite-research
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install lite-research

简介

lite-research 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 使用网络搜索工具进行精简研究,适用于快速获取基本信息。
  • 通过安装命令 openclaw skills install lite-research 集成到 OpenClaw 宿主环境。
  • 使用前需确认权限范围、维护状态及是否涉及联网、命令执行或文件读写。
  • 建议结合来源仓库和原始 README 进一步核验具体用法和功能边界。

SKILL.md

name
lite-research
description
Perform lite research using web search and web fetch tools. Use when user asks to "research" something (not "deep research"). Uses advanced search strategies with synonyms, Boolean operators, and alternative terminology. Never spawns sub-agents.

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 <topic>" (but NOT "deep research"). This skill:

  • Uses web_search to find results for multiple related queries using search best practices
  • Uses web_fetch 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 <topic>":

  1. Analyze the topic - identify key concepts and potential synonyms
  1. 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

  1. Execute searches with count=5 for each query (max 5 queries total)
  1. Fetch and analyze content from results
  1. 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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

80.73%
按下载量换算1,404

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install lite-research 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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