Daily Featured Skills Count
4,215 4,256 4,301 4,343 4,380 4,407 4,419
04/16 04/17 04/18 04/19 04/20 04/21 04/22
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
voidful voidful
from GitHub Research & Analysis
  • 📁 experiment-design/
  • 📁 idea-generation/
  • 📁 paper-reading/
  • 📄 CLAUDE.md
  • 📄 LICENSE
  • 📄 README.md
paper research review

academic-research

Complete academic research skill suite covering the full pipeline: paper reading (read/explain papers with storytelling), idea generation (brainstorm research directions), experiment design (plan experiments, ablation, baselines), proof writing (mathematical proofs, LaTeX theorems), paper writing (draft to camera-ready for top venues like NeurIPS/ICLR/ACL), paper review (structured 4-step review with scoring), and professor fit analysis (evaluate advisors, cold emails, interview strategy). Trigger keywords: read paper, brainstorm, experiment design, prove, write paper, review, professor fit, advisor, cold email, LaTeX, research, NeurIPS, ICLR, ACL, arXiv, 讀論文, 寫論文, 審稿, 實驗設計, 數學證明, 研究方向, 教授分析, 選指導教授.

⬇0 ❤22 16 days ago · Uploaded Detail →
codependentai codependentai
from GitHub Research & Analysis
  • 📄 SKILL.md
academic papers arxiv

arxiv-research

Search and read academic papers from arxiv via Semantic Scholar API + ar5iv HTML. No OAuth, no PDF parsing. Use when the user wants to find research papers, read a specific paper, look up citations, or explore academic literature. Trigger on "find papers on", "arxiv", "research on", "look up the paper", "academic search", "semantic scholar", "what does the literature say", "read this paper", or any arxiv/ar5iv URL.

⬇0 ❤23 22 days ago · Uploaded Detail →
Azhi-ss Azhi-ss
from GitHub Research & Analysis
  • 📄 SKILL.md
architecture diagrams analyze

Academic Figure Architecture Extractor & Analyzer

Use this skill whenever the user wants to extract architecture diagrams from academic papers, filter out invalid images, analyze the structure and components of diagrams, automatically match suitable color schemes, or says "提取论文架构图", "架构图分析", "从PDF中提取图表", "自动分析架构图", "architecture diagram extraction", "extract figures from pdf", "analyze architecture diagram".

⬇0 ❤15 6 days ago · Uploaded Detail →
ustc-ai4science ustc-ai4science
from GitHub Research & Analysis
  • 📁 agents/
  • 📁 assets/
  • 📁 docs/
  • 📄 .gitignore
  • 📄 LICENSE
  • 📄 Makefile
scholar paper citation

academic-search

学术论文搜索、引用分析与元数据提取专用 Skill。 【自动触发条件——出现以下任一信号时立即加载本 Skill，无需用户显式说明】 意图信号（中文）： - 搜论文 / 找论文 / 查论文 / 调研论文 / 检索文献 / 文献综述 / 综述 - 顶会 / 顶刊 / CCF / NeurIPS / ICML / ICLR / ACL / EMNLP / CVPR / KDD / SIGIR / WWW - 引用数 / 被引 / 引用关系 / 引用量 - BibTeX / 参考文献格式 / 导出引用 - 作者发表列表 / 某人的论文 / 某人在哪发了什么 - arXiv / Semantic Scholar / Google Scholar / PubMed / ACM DL / IEEE - 知网 / CNKI / 中国知网 / 学位论文 / 硕士论文 / 博士论文 / 中文文献 / 中文期刊 - PDF 链接 / 论文 PDF / 开放获取 - 摘要 abstract / 元数据 意图信号（英文）： - search paper / find paper / look up paper / literature review / survey - citation count / citation graph / citing / cited by - BibTeX / reference export - top conference / top journal / venue ranking - author publication list / papers by X URL 信号（出现以下域名的链接时自动触发）： - arxiv.org / ar5iv.org - semanticscholar.org - scholar.google.com - dl.acm.org - ieeexplore.ieee.org - pubmed.ncbi.nlm.nih.gov - paperswithcode.com - cnki.net / kns.cnki.net 覆盖平台：arXiv、Semantic Scholar、Google Scholar、ACM DL、IEEE Xplore、PubMed、Papers with Code、CNKI（中国知网）

⬇0 ❤21 15 days ago · Uploaded Detail →
cagdotin cagdotin
from GitHub Research & Analysis
  • 📄 SKILL.md
loop autoresearch optimize

autoresearch-create

Set up and run an autonomous experiment loop for any optimization target. Gathers what to optimize, then starts the loop immediately. Use when asked to "run autoresearch", "optimize X in a loop", "set up autoresearch for X", or "start experiments".

⬇0 ❤21 16 days ago · Uploaded Detail →
lunchpaillola lunchpaillola
from GitHub Research & Analysis
  • 📁 references/
  • 📄 SKILL.md
ai autoresearch optimize

autoresearch

Autonomously optimize any Claude Code skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on. Outputs: an improved SKILL.md, a results log, and a changelog of every mutation tried.

⬇0 ❤20 20 days ago · Uploaded Detail →
sunnnybala sunnnybala
from GitHub Research & Analysis
  • 📁 .github/
  • 📁 _shared/
  • 📁 analyze-results/
  • 📄 .gitignore
  • 📄 ARCHITECTURE.md
  • 📄 CHANGELOG.md
automation research ai

rstack

Research automation skills for Claude Code. Full pipeline from idea to submittable paper. Skills: /lit-review, /novelty-check, /experiment, /analyze-results, /write-paper, /research (orchestrator), /setup.

⬇0 ❤19 17 days ago · Uploaded Detail →
Okayamasenko Okayamasenko
from GitHub Research & Analysis
  • 📁 commands/
  • 📁 memory/
  • 📁 notes/
  • 📄 .gitignore
  • 📄 CLAUDE.md
  • 📄 config.json
discuss read auto-recording

articlefeed

Academic paper reading system — find papers via Semantic Scholar, read with structured notes, discuss with auto-recording, track progress. 7 commands: /setup /feed /read /discuss /recap /update /sync

⬇0 ❤17 16 days 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