Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计异常

literature-research文献研究

Agent Skill

literature-research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

212

周安装

9

GitHub Stars

3

下载量

74
CodexClaudeCursorGemini CLI

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

unknown

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:literature-research(文献研究)
来源仓库:https://github.com/bahayonghang/wechat-content-writer
仓库路径:skills/literature-research
安装命令:
npx skills add https://github.com/bahayonghang/wechat-content-writer --skill literature-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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/bahayonghang/wechat-content-writer --skill literature-research

简介

用于微信公众号内容创作的素材搜集与观点支撑。

  • 适合查找行业报告、用户调研或竞品分析相关资料。
  • 可提炼热点话题与情感倾向分布特征。literature-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需注明信息来源可靠性与发布时间有效性。
  • 输出时应避免直接复制原文,注重本土化改写。

SKILL.md

Literature Research Skill

Purpose

This skill enables systematic academic literature search and analysis for creating high-quality WeChat content. It provides workflows for finding relevant research papers, extracting key insights, and generating content suitable for public audience consumption.

When to Use

Activate this skill when users need to:

  • Search for latest academic papers in specific fields
  • Find research on particular topics or technologies
  • Analyze academic literature for content creation
  • Understand current research trends
  • Gather evidence-based information for articles

Core Workflow

1. Define Search Strategy

Start by identifying the research domain and specific topics:

  • Determine the primary field (AI, machine learning, computer science, etc.)
  • Identify specific keywords and research areas
  • Consider time range for literature search (recent papers vs. comprehensive review)
  • Note any specific researchers, institutions, or conferences of interest

2. Execute Academic Search

Use appropriate search strategies:

  • Search arXiv for preprints and latest research
  • Use Google Scholar for comprehensive academic search
  • Check specific conference proceedings (NeurIPS, ICML, CVPR, etc.)
  • Look for survey papers and review articles for overview
  • Find recent highly-cited papers in the field

3. Analyze and Extract Content

For each relevant paper found:

  • Read abstract and introduction for core contribution
  • Extract key findings and main contributions
  • Identify novel methodologies or approaches
  • Note experimental results and conclusions
  • Assess relevance to target audience

4. Content Generation

Transform academic content into WeChat-friendly format:

  • Start with engaging introduction highlighting importance
  • Explain complex concepts in accessible language
  • Use analogies and real-world examples
  • Include practical implications and applications
  • Maintain accuracy while simplifying technical details

Search Templates

General Academic Search

Search for recent papers on [TOPIC] published in [TIMEFRAME]
Focus on: [SPECIFIC_ASPECTS]
Look for: [PAPER_TYPES - survey papers, breakthrough research, etc.]

Field-Specific Search

[FIELD] research on [SPECIFIC_TOPIC]
Latest developments in [TECHNOLOGY]
Recent advances in [RESEARCH_AREA]

Content Structure Guidelines

WeChat Article Structure

  1. Catchy Title: Include key benefit or surprising finding
  2. Engaging Introduction: Hook reader with real-world relevance
  3. Background Context: Briefly explain why this research matters
  4. Key Findings: Present main results in accessible language
  5. Practical Implications: Explain how this affects readers
  6. Future Outlook: Discuss potential developments
  7. References: Link to original papers for credibility

Writing Style

  • Use conversational tone with professional credibility
  • Incorporate storytelling elements where appropriate
  • Include metaphors to explain complex concepts
  • Maintain balance between accuracy and accessibility
  • Use headings and bullet points for readability

Quality Assessment

Before finalizing content, verify:

  • Research papers are from reputable sources
  • Key findings are accurately represented
  • Technical explanations are simplified but not misleading
  • Content provides genuine value to target audience
  • References are properly credited
  • Claims are supported by evidence

Additional Resources

Reference Files

  • references/search-sources.md - List of academic databases and search strategies
  • references/content-templates.md - WeChat article templates for different research topics

Example Files

  • examples/literature-analysis-example.md - Complete analysis of a research paper
  • examples/wechat-article-example.md - Full WeChat article based on academic research

Common Research Areas

AI and Machine Learning

  • Large Language Models and Transformers
  • Computer Vision and Image Recognition
  • Natural Language Processing
  • Reinforcement Learning
  • AI Ethics and Safety

Computer Science

  • Algorithms and Data Structures
  • Software Engineering
  • Human-Computer Interaction
  • Networking and Distributed Systems
  • Cybersecurity

Emerging Technologies

  • Quantum Computing
  • Blockchain and Web3
  • Internet of Things (IoT)
  • Biotechnology and Bioinformatics
  • Clean Technology and Sustainability

Integration with Content Creation

After literature analysis:

  1. Use the create-article command to generate structured content
  2. Apply appropriate category classification
  3. Generate date-stamped markdown files
  4. Ensure content follows WeChat platform guidelines

Tips for Effective Research

  1. Start Broad, Then Narrow: Begin with general search, then focus on specific aspects
  2. Prioritize Recent Papers: Focus on research from last 2-3 years for cutting-edge content
  3. Look for Survey Papers: Excellent for understanding field landscape
  4. Check Citation Counts: Highly-cited papers often indicate important work
  5. Follow Citation Chains: Use reference lists to find related important work
  6. Consider Author Credibility: Papers from well-known researchers/institutions

Search Result Evaluation

Evaluate search results based on:

  • Relevance: Direct connection to intended topic
  • Recency: Publication date and current relevance
  • Impact: Citation count and journal/conference quality
  • Accessibility: Availability of full text and clear explanations
  • Novelty: Originality of contributions and insights

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

36.77%
按下载量换算27

Claude

29.77%
按下载量换算22

Cursor

17.33%
按下载量换算13

Gemini CLI

8.57%
按下载量换算6

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

继续浏览同类 Skills