Agent skill

Qinyan Topic Analysis

by LeonChaoX in LeonChaoX/qinyan-academic-skills

沁言学术AI选题分析 - 基于大量文献检索结果,为科研人员提供智能选题建议,包括选题方向、研究价值、研究内容概述、研究难点分析和相关文献推荐。使用沁言学术OpenAPI进行文献检索。触发词:选题分析、选题建议、研究选题、topic analysis、research topic、帮我选题、选题推荐

MITAuto-check passedResearch & Science

Install Qinyan Topic Analysis

skills CLI
$ npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-topic-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeonChaoX/qinyan-academic-skills qinyan-topic-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'skills/沁言学术skills/qinyan-topic-analysis' .claude/skills/qinyan-topic-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qinyan-topic-analysis
GitHub stars
938
Token cost
~598 tokens
SKILL.md length
90 words
Files
2 (incl. scripts)
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

沁言学术AI选题分析 - 基于大量文献检索结果,为科研人员提供智能选题建议,包括选题方向、研究价值、研究内容概述、研究难点分析和相关文献推荐。使用沁言学术OpenAPI进行文献检索。触发词:选题分析、选题建议、研究选题、topic analysis、research topic、帮我选题、选题推荐

  • Works in 2 steps: 已设置 QINYAN_API_KEY 环境变量(前往… → 环境中可用 curl 和 python3
  • Tasks that involve Academic paper search
  • SKILL.md covers 概述, 前置条件, 工作流程 and 输出格式, plus 2 more sections
  • Runs Shell scripts from its folder; calls bash; needs QINYAN_API_KEY

What it does

Qinyan Topic Analysis is an agent skill from LeonChaoX/qinyan-academic-skills. 沁言学术AI选题分析 - 基于大量文献检索结果,为科研人员提供智能选题建议,包括选题方向、研究价值、研究内容概述、研究难点分析和相关文献推荐。使用沁言学术OpenAPI进行文献检索。触发词:选题分析、选题建议、研究选题、topic analysis、research topic、帮我选题、选题推荐

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/search.sh`).

It sits in Research & Science, covering Academic paper search and OpenAPI specifications. It works with OpenAPI, arXiv and PubMed. The repository describes itself as: A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development… The licence is MIT.

When your agent uses it

  • Tasks that involve Academic paper search
  • Tasks that involve OpenAPI specifications

Example prompts

  • “/qinyan-topic-analysis”

Requirements

  • A Bash shell
  • A credential in QINYAN_API_KEY

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. 已设置 QINYAN_API_KEY 环境变量(前往 https://platform.qinyanai.com/ 申请)
  2. 环境中可用 curl 和 python3

What it can do on your machine

Read from SKILL.md and the folder at commit df5a498. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • platform.qinyanai.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • QINYAN_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Qinyan Topic Analysis loads about 598 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 90 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~598

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LeonChaoX/qinyan-academic-skills at commit df5a498, republished under its MIT licence (© LeonChaoX). 90 words, ~598 tokens.

Download SKILL.mdSave it as .claude/skills/qinyan-topic-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
qinyan-topic-analysis
description
沁言学术AI选题分析 - 基于大量文献检索结果,为科研人员提供智能选题建议,包括选题方向、研究价值、研究内容概述、研究难点分析和相关文献推荐。使用沁言学术OpenAPI进行文献检索。触发词:选题分析、选题建议、研究选题、topic analysis、research topic、帮我选题、选题推荐

沁言学术 - AI选题分析

概述

本技能通过沁言学术OpenAPI大量检索相关文献,结合AI分析能力,为科研人员提供系统化的选题建议。分析涵盖选题方向、研究价值、研究内容概述、研究难点分析以及相关文献推荐。

学术诚信声明: 所有选题建议基于真实检索到的文献进行分析,不捏造文献或研究趋势。建议仅供参考,最终选题决策应结合导师意见和个人研究兴趣。

前置条件

使用前请确保:

  1. 已设置 QINYAN_API_KEY 环境变量(前往 https://platform.qinyanai.com/ 申请)
  2. 环境中可用 curl 和 python3
bash
export QINYAN_API_KEY="your-api-key-here"

工作流程

第一步:大量检索相关文献

根据用户提供的研究领域/方向,使用 scripts/search.sh 从多个数据库大量检索文献。

检索策略:

  • 中文领域:优先万方 + Google Scholar
  • 英文领域:优先 Google Scholar + ArXiv/PubMed
  • 医学类:必须检索 PubMed(中文query需翻译为英文)
  • 理工计算机类:必须检索 ArXiv(中文query需翻译为英文)
  • 每个相关数据库至少检索50-100条文献,确保充分覆盖
bash
# 检索示例
bash scripts/search.sh google '{"query": "large language models education", "max_results": 20, "date_from": "2022"}'
bash scripts/search.sh arxiv '{"query": "large language models education", "max_results": 50, "date_from": "2022"}'
bash scripts/search.sh wanfang '{"query": "大语言模型 教育应用", "max_results": 50, "date_from": "2022"}'

搜索脚本参数格式同文献检索skill:

数据源命令特殊说明
Google Scholarbash scripts/search.sh google '<json>'单次最多20条
万方bash scripts/search.sh wanfang '<json>'支持中文,1-100条
PubMedbash scripts/search.sh pubmed '<json>'仅英文,1-200条
ArXivbash scripts/search.sh arxiv '<json>'仅英文,1-100条
第二步:文献分析与选题生成

基于检索到的大量文献,分析研究现状、热点趋势、研究空白,生成选题建议。

第三步:输出结构化选题建议

输出格式

对每个推荐的选题,按以下结构输出:

选题建议模板
## 选题方向 [序号]:[选题名称]

### 选题方向
[具体的研究方向和切入点描述]

### 研究价值
[该选题的理论价值和实践意义,为什么值得研究]

### 研究内容概述
[该选题需要研究的主要内容、技术路线或方法框架]

### 研究难点分析
[该选题可能面临的主要技术难点、数据获取困难、方法挑战等]

### 相关文献
[列出5-10篇与该选题最相关的文献,标注来源]
- [1] 作者. 标题. 期刊/会议, 年份. DOI/URL
- [2] ...

分析要求

  1. 选题数量:根据文献覆盖面,推荐 3-5 个有差异化的选题方向
  2. 选题质量:
    • 避免过于宽泛的选题(如"深度学习研究")
    • 避免过于狭窄的选题(如"某个特定数据集上的某个指标提升")
    • 选题应具有创新性,填补已有研究的空白
    • 选题应具有可行性,在合理的时间和资源下可完成
  3. 文献支撑:每个选题的相关文献必须来自实际检索结果,不得捏造
  4. 趋势分析:结合文献的发表时间分布,分析研究趋势
  5. 差异化:不同选题之间应有明显差异,覆盖不同的研究视角

示例工作流

用户: 我是计算机专业硕士研究生,想研究大语言模型在教育领域的应用,帮我分析选题

步骤1: 检索文献
- ArXiv: "large language models education" (50条)
- Google Scholar: "LLM education application" (20条)
- 万方: "大语言模型 教育" (50条)

步骤2: 分析文献趋势和研究空白

步骤3: 输出3-5个差异化选题建议,每个包含完整的五要素分析

© LeonChaoX, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in skills/沁言学术skills/qinyan-topic-analysis of LeonChaoX/qinyan-academic-skills.

  • SKILL.md
  • scripts/search.sh

Open the folder on GitHubat commit df5a498

Compare with similar skills

Qinyan Topic Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Qinyan Topic Analysis compared with similar skills
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Citation Managementneflibata-feng/MyArxiv-Agent12620 repos~8.1kAutomated safety check: NotesMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT
Rival Search MCPdamionrashford/RivalSearchMCP1321 repos~796Automated safety check: PassMIT

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Questions about Qinyan Topic Analysis

What does Qinyan Topic Analysis do?

沁言学术AI选题分析 - 基于大量文献检索结果,为科研人员提供智能选题建议,包括选题方向、研究价值、研究内容概述、研究难点分析和相关文献推荐。使用沁言学术OpenAPI进行文献检索。触发词:选题分析、选题建议、研究选题、topic analysis、research topic、帮我选题、选题推荐. Qinyan Topic Analysis is an agent skill from LeonChaoX/qinyan-academic-skills.

When should I use Qinyan Topic Analysis?

Qinyan Topic Analysis fits situations like: tasks that involve Academic paper search; tasks that involve OpenAPI specifications.

How do I install Qinyan Topic Analysis in Claude Code?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-topic-analysis -a claude-code`. Or copy the skill folder (skills/沁言学术skills/qinyan-topic-analysis in LeonChaoX/qinyan-academic-skills) into .claude/skills/qinyan-topic-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Qinyan Topic Analysis in Codex?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-topic-analysis -a codex`. Or copy the skill folder (skills/沁言学术skills/qinyan-topic-analysis in LeonChaoX/qinyan-academic-skills) into .agents/skills/qinyan-topic-analysis in your project. Codex loads it when a task matches its description.

Can I use Qinyan Topic Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-topic-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qinyan-topic-analysis, .gemini/skills/qinyan-topic-analysis, .github/skills/qinyan-topic-analysis and .opencode/skills/qinyan-topic-analysis in your project.

What does Qinyan Topic Analysis need to run?

Going by SKILL.md and its folder, Qinyan Topic Analysis needs a shell for the scripts in its folder, the command-line tools its instructions call (bash) and credentials named QINYAN_API_KEY. Our summary lists: A Bash shell; A credential in QINYAN_API_KEY.

Does Qinyan Topic Analysis access the network?

SKILL.md names 1 domain. As links in the text: platform.qinyanai.com. This is read from the text; nothing was executed.

Is Qinyan Topic Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Qinyan Topic Analysis use?

Qinyan Topic Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qinyan Topic Analysis use?

About 598 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Qinyan Topic Analysis?

Skills that share tags, products or a category with Qinyan Topic Analysis: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars) and Paper Search (openags/paper-search-mcp, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qinyan Topic Analysis?

LeonChaoX (a GitHub user) maintains it in LeonChaoX/qinyan-academic-skills, which has 938 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeonChaoX/qinyan-academic-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.