15,787 Open Skills

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AgriciDaniel AgriciDaniel
from GitHub Content & Multimedia
image images ai

seo-image-gen

AI image generation for SEO assets — OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says \"generate image\", \"OG image\", \"social preview\", \"hero image\", \"blog image\", \"product photo\", \"infographic\", \"seo image\", \"create visual\", \"image-gen\", \"favicon\", \"schema image\", \"pinterest pin\", \"generate visual\", \"banner\", or \"thumbnail\".

⬇0 ❤2.6K 13 days ago · Uploaded Detail →
zanllp zanllp
from GitHub Content & Multimedia
image browsing images

iib

Interact with IIB (Infinite Image Browsing) service for searching, browsing, tagging, and organizing AI-generated images. Use when the user needs to search images by prompt/keyword, manage image tags, organize files into folders, get image generation parameters, or work with an image library.

⬇0 ❤1.3K 4 days ago · Uploaded Detail →
uluckyXH uluckyXH
from GitHub Content & Multimedia
image generate edit

antigravity-gemini-image

Generate or edit images using the Antigravity-hosted Gemini image model via the local gateway. Use when the user asks to create an image, generate an avatar, or edit/transform an existing image with text instructions. Supports text-to-image and image-to-image editing.

⬇0 ❤697 11 days ago · Uploaded Detail →
understudy-ai understudy-ai
from GitHub Content & Multimedia
image telegram person

taught-person-photo-cutout-bc88ec

Create a background-removed image for a requested person or image query and send it in Telegram. Primary surface: Google Chrome, Pixelmator Pro, Telegram. Inputs: Person or image search query, Telegram chat. Trigger cues: Google Chrome Edit | Google Chrome Person or image search query, Telegram chat | Create a background-removed image for a requested person or image query and send it in Telegram.

⬇0 ❤287 6 days ago · Uploaded Detail →
AIDotNet AIDotNet
from GitHub Tools & Productivity
image data step

blog-author

Research a topic deeply, plan a blog step by step, and write a long-form article with structured Markdown outputs in the current working directory. Supports multilingual writing, source tracking, metadata generation, and optional image insertion via available image tools.

⬇0 ❤193 12 days ago · Uploaded Detail →
Bria-AI Bria-AI
from GitHub Content & Multimedia
image controllable automation

bria-ai

Generate, edit, create product images with AI. Remove or replace backgrounds, lifestyle shots, transparent PNGs, visual assets, batch generation, illustrations. Controllable image editing with Bria.ai commercially-safe models — fine-grained control over what gets generated, edited, or removed. Edit by text instruction, mask specific regions, add/replace/remove individual objects, control lighting, season, and style. Use for e-commerce product photography, background removal, image upscaling, style transfer, hero images, icons, banners, and pipeline workflows. Triggers on AI image generation, controllable editing, background removal, or visual asset creation.

⬇0 ❤48 11 days ago · Uploaded Detail →
nogataka nogataka
from GitHub Content & Multimedia
画像 image generate

imgen

Azure OpenAI画像生成CLIツール (gpt-image-1.5 / gpt-5.1)。テキストから画像生成、画像のAI編集、画像の内容説明を行う。Use when the user wants to (1) generate images using Azure OpenAI, (2) edit existing images with AI, (3) explain image contents. Triggers on "画像を生成", "画像を編集", "画像の説明", "generate an image", "edit this image", "describe this image", "imgenで".

⬇0 ❤9 7 hours ago · Uploaded Detail →
vlm-run vlm-run
from GitHub Content & Multimedia
image video automation

vlmrun-cli-skill

Use the VLM Run CLI (`vlmrun`) to interact with Orion visual AI agent. Process images, videos, and documents with natural language. Triggers: image understanding/generation, object detection, OCR, video summarization, document extraction, image generation, visual AI chat, 'generate an image/video', 'analyze this image/video', 'extract text from', 'summarize this video', 'process this PDF'.

⬇0 ❤7 14 hours ago · Uploaded Detail →
vlm-run vlm-run
from GitHub Content & Multimedia
image video automation

vlmrun-cli-skill

Use the VLM Run CLI (`vlmrun`) to interact with Orion visual AI agent. Process images, videos, and documents with natural language. Triggers: image understanding/generation, object detection, OCR, video summarization, document extraction, image generation, visual AI chat, 'generate an image/video', 'analyze this image/video', 'extract text from', 'summarize this video', 'process this PDF'.

⬇0 ❤12 17 hours ago · Uploaded Detail →
AgriciDaniel AgriciDaniel
from GitHub Content & Multimedia
image creative ai

banana

AI image generation Creative Director powered by Google Gemini Nano Banana models. Use this skill for ANY request involving image creation, editing, visual asset production, or creative direction. Triggers on: generate an image, create a photo, edit this picture, design a logo, make a banner, visual for my anything, and all /banana commands. Handles text-to-image, image editing, multi-turn creative sessions, batch workflows, and brand presets.

⬇0 ❤6 just now · Uploaded Detail →
k-kohey k-kohey
from GitHub Content & Multimedia
design image match

fix-ui

Iteratively fix a SwiftUI View to match a design image. Captures previews with axe, compares against the target design, and modifies the code until the UI matches. Use when the user provides a design image and wants the View adjusted to match it.

⬇0 ❤14 12 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