skills.guanliai
How-tosAll SkillsCombos
中EN
How-tosAll SkillsCombos

skills.guanliai.com

An AI how-to library organised by scene: which skills to use, how to install, how to prompt, and what traps to avoid.

How-tosAll SkillsCombos

Supported clients

  • Claude Code
  • Cline / Roo Code
  • CodeBuddy
  • CodeGeeX (Zhipu)
  • Comate (Baidu)
  • Cursor
  • Fitten Code
  • Gemini CLI
  • GitHub Copilot
  • Kiro
  • Lingma (Alibaba)
  • MarsCode
  • OpenAI Codex
  • OpenClaw
  • OpenCode
  • Qoder
  • Tencent CloudBase AI
  • Trae
  • VS Code
  • Windsurf
skills.guanliai.com · Agent Skill DirectoryData from GitHub · Next.js + MySQL
HomeAll Skills

All Skills

Total 4 skills · from GitHub & curated sets, updated daily

Category

Featured

China

Global

Tags

Language

Total 4 skills

segment-anything-model

NousResearch/hermes-agent/optional-skills/mlops/models/segment-anything-model

Automation

SAM: zero-shot image segmentation via points, boxes, masks.

Universal
242.8kPythonDetails
multimodalzero-shotimage-segmentation

stable-diffusion

NousResearch/hermes-agent/optional-skills/mlops/stable-diffusion

Automation

Text-to-image generation, inpainting, and img2img.

Universal
242.8kPythonDetails
multimodalcomputer-visionimage-generation

segment-anything-model

Orchestra-Research/AI-Research-SKILLs/18-multimodal/segment-anything

Research

Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.

Universal
12.1kTeXDetails
multimodalzero-shotimage-segmentation

stable-diffusion-image-generation

Orchestra-Research/AI-Research-SKILLs/18-multimodal/stable-diffusion

Research

State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.

Universal
12.1kTeXDetails
multimodalcomputer-visionimage-generation