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from GitHub Development & Coding

cjournal-analyzer

C刊(CSSCI来源期刊)论文全面分析工具。当用户提供一个具体的C刊期刊名称(如"管理世界"、 "社会学研究"、"经济研究"等)时,自动通过知网(CNKI)查询该期刊最近5年所有期次的文章 目录、作者和摘要信息,并生成专业的Word分析报告。报告包含:选题热点趋势、高频关键词、 研究方法偏好、核心作者群、栏目主题演变、研究空白识别、投稿方向建议等全维度分析。 触发条件:用户提到需要分析某个C刊/CSSCI期刊/核心期刊的发文趋势、选题偏好、投稿方向; 或提供中文学术期刊名称并要求查看近年发表论文的主题分布和趋势;或说"帮我分析一下XX期刊"。 注意:本skill用于期刊层面的宏观分析,不同于paper-analyzer(单篇论文拆解)和 literature-review-writer(文献综述写作)。 --- # C刊论文全面分析工具 ## Phase 1: 确定期刊与CNKI代码 1. 从用户输入中提取期刊名称 2. 查询 `references/journal_codes.md` 获取CNKI代码(如"管理世界"→ `GLSJ`) 3. 若未收录,用WebSearch搜索 `site:navi.cnki.net/knavi/journals "{期刊名}"` 从URL提取代码 4. 向用户确认期刊后继续 ## Phase 2: 浏览器数据采集 使用Chrome DevTools MCP工具从知网采集数据。 ### Step 2.1: 打开期刊页 ``` navigate_page → https://navi.cnki.net/knavi/journals/{CODE}/detail ``` **验证码处理**:若页面出现"请完成安全验证"或"拖动下方拼图",立即提示用户: > "知网需要安全验证,请在浏览器中完成滑块验证,完成后告诉我。" 等用户确认后,用 `navigate_page` 重新加载页面。 ### Step 2.2: 提取期刊基本信息 ```javascript () => { const title = document.querySelector('h3')?.textContent?.trim() || ''; const info = {}; document.querySelectorAll('.detailInfo p, .s-info p').forEach(p => { const text = p.textContent; if (text.includes('主办单位')) info.sponsor = text.split(':')[1]?.trim(); if (text.includes('ISSN')) info.issn = text.split(':')[1]?.trim(); if (text.includes('CN')) info.cn = text.split(':')[1]?.trim(); if (text.includes('出版周期')) info.frequency = text.split(':')[1]?.trim(); if (text.includes('复合影响因子')) info.cif = text.split(':')[1]?.trim(); if (text.includes('综合影响因子')) info.aif = text.split(':')[1]?.trim(); }); return { title, ...info }; } ``` 也可直接从snapshot中读取基本信息(StaticText节点)。 ### Step 2.3: 点击"论文"标签并提取年份期次 点击 uid 对应"论文"的链接,等待加载,然后提取: ```javascript () => { const results = []; document.querySelectorAll('dl[id$="_Year_Issue"]').forEach(dl => { const year = dl.querySelector('dt em')?.textContent?.trim(); if (!year) return; const issues = []; dl.querySelectorAll('dd a').forEach(a => { issues.push({ id: a.id, issue: a.textContent.trim(), value: a.getAttribute('value') }); }); results.push({ year: parseInt(year), issues }); }); return results;

0 10 15 minutes ago · Uploaded Detail →

Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code:~/.claude/skills/
  • Codex CLI:~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up