wechat-article-to-markdown
Fetch WeChat Official Account (微信公众号) articles from mp.weixin.qq.com and convert to Markdown. 微信文章转 Markdown 工具。
Free to get · One-click to use
Fetch WeChat Official Account (微信公众号) articles from mp.weixin.qq.com and convert to Markdown. 微信文章转 Markdown 工具。
面向中文科研论文的AI写作助手。默认先讨论再执行,自动创建并维护plan上下文,支持去AI化写作、文献综述、Python图表与Miniconda环境配置,默认以Markdown/纯文本交付并提供Word迁移指引。
将 Markdown 文本转换为 DOCX、PPTX、XLSX、PDF、PNG、HTML、IPYNB、MD、CSV、JSON、JSONL、XML 文件,并将 Markdown 中的代码块提取为 Python、Bash、JS 等文件。
智能书籍阅读分析技能。分析整本著作(EPUB/TXT),智能拆分章节,进行逐章深度 AI 分析,生成 Markdown 总结、PDF 报告和交互式 HTML 阅读界面(含问答功能)。所有分析输出为中文。
根据 Markdown 新闻文档生成 HTML 周报,扫描更新配置,并同步更新 README 文档
将用户提供的论文完整翻译为中文 Markdown,尽量不遗漏正文内容,保留图片、图题、表格与公式, 并创建一个以论文名称命名的目录,将原论文与产物统一收纳在其中。
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
├─ ⭐ 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
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.
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.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
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.
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.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused 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.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: