Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes and shareable card images. Use when user asks about AI news, daily tech updates, or wants news organized by date or category.
Transcribe and summarize videos from YouTube, local files, Google Drive, Dropbox, and social media platforms (TikTok, Instagram, Twitter/X, Reddit) using any OpenAI-compatible LLM. Use when asked to summarize, analyze, extract insights, fact-check, or create study materials from video content.
Fetches markdown from public URLs, docs pages, articles, or changelogs. Use when web content needs to be read or summarized.
Summarize today's AI and tech news in clear bullet points
Summarises text into a concise overview. Use when the user asks to summarise, condense, or get the key points from a piece of text.
AI video & audio summarizer. Summarize YouTube videos, Bilibili videos, podcasts, TikTok, Twitter/X, Xiaohongshu, and any online video or audio. Use when the user wants to summarize a video, extract transcripts/subtitles, get chapter-by-chapter summaries, or understand video content quickly.
Manually trigger context compaction to summarize conversation history.
Summarize webpage(s) into clear key points.
Type /context-generator to summarize your chat into a portable context block you can paste into any AI and continue where you left off.
Read and summarize the user's local work notes from `~/work/notes/` and `~/work/shared/`. Use when the user asks to "summarize notes", "sync notes", "review my notes", "what's in my work notes", or any operation that needs the contents of their personal markdown notebook. Returns the raw markdown contents of all .md files in those folders so the calling assistant can summarize, sync, or paraphrase as the user instructs.
Summarize, translate, review code, generate text - short answers only
Data integrations for your lookups and summarization. Use whenever user wants info about his Google Calendar events (schedule), GMail emails, or Slack messages.
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:
