Generate synthetic training data variations using image transforms. Increases dataset diversity with flips, brightness jitter, and noise. Use after labeling.
Specialized workflow for transforming verbose natural language into semantic OCTAVE (Olympian Common Text And Vocabulary Engine) structures. REQUIRES octave-literacy to be loaded first
Convert PDFs to markdown, JSON, or HTML using the Marker CLI. Use when the user wants to convert PDF content into text-based formats (markdown, HTML, JSON), mentions "marker" or "marker_single", or asks to batch-convert a folder of PDFs into readable text. Handles single-file and batch-folder conversion, resuming interrupted runs, LLM-enhanced output, and conversion state/error log review.
Automatically convert arXiv papers to well-structured Markdown documentation. Invoke with an arXiv ID to fetch materials (LaTeX source or PDF), convert to Markdown, and generate implementation-ready reference documentation with preserved mathematics and section structure.
Convert Markdown to WeChat Official Account HTML with beautiful themes. Supports 20+ built-in themes across 5 series (Classic, Tech, Oriental, Magazine, Social). Use when user asks to "排版", "微信排版", "format article", "格式化文章", "inkpress", "convert markdown", "主题预览", or "theme".
Validate, format, and convert YAML/JSON files using fast-yaml (fy) tool. Triggers on: 'validate yaml', 'format yaml', 'lint yaml', 'check yaml syntax', 'convert yaml to json', 'convert json to yaml', 'yaml formatter', 'fix yaml formatting', 'json to yaml'. Supports bidirectional YAML ↔ JSON conversion, YAML 1.2.2 spec with parallel processing for batch operations.
Distill a graduate advisor into an AI Skill. Import comments, meeting notes, chat logs, and docs to generate Method Core + Academic Style + Persona + Graduation Playbook, with explicit mode switch and distill strategy switch (strict/hybrid/template-first). Use for /create-supervisor, /update-supervisor, /list-supervisors.
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:
