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All Skills

Total 30,780 skills, AI & Machine Learning has 4970 skills

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Showing 12 of 4970 skills

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AI & Machine Learningcinience/alicloud-skills

alicloud-ai-audio-tts

Generate human-like speech audio with Model Studio DashScope Qwen TTS (qwen3-tts-flash). Use when converting text to speech, producing voice lines for short drama/news videos, or documenting TTS request/response fields for DashScope.

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4
1 scripts/Checked
AI & Machine Learninganthropics/claude-plugins...

claude-automation-recommender

Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.

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4
AI & Machine Learningrivet-dev/skills

sandbox-agent

Deploy, configure, and integrate Sandbox Agent - a universal API for orchestrating AI coding agents (Claude Code, Codex, OpenCode, Amp) in sandboxed environments. Use when setting up sandbox-agent server locally or in cloud sandboxes (E2B, Daytona, Docker), creating and managing agent sessions via SDK or API, streaming agent events and handling human-in-the-loop interactions, building chat UIs for coding agents, or understanding the universal schema for agent responses.

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4
AI & Machine Learningintellectronica/agent-ski...

nano-banana-pro

Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

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4
1 scripts/Checked
AI & Machine Learningaffaan-m/everything-claud...

continuous-learning-v2

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

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4
3 scripts/Attention
AI & Machine Learningaffaan-m/everything-claud...

continuous-learning

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.

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4
1 scripts/Attention
AI & Machine Learningcomposiohq/awesome-claude...

connect

Connect Claude to any app. Send emails, create issues, post messages, update databases - take real actions across Gmail, Slack, GitHub, Notion, and 1000+ services.

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4
AI & Machine Learningfstandhartinger/ralph-wig...

ralph-wiggum

Autonomous AI coding with spec-driven development. Implements Geoffrey Huntley's iterative bash loop methodology where agents work through specs one at a time, outputting a completion signal only when acceptance criteria are 100% met.

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4
AI & Machine Learningbenedictking/exa-search

exa-search

Semantic search skill using Exa API for embeddings-based search, similar content discovery, and structured research. Use when you need semantic search, find similar pages, or category-specific searches. Triggers: exa, semantic search, find similar, research paper, github search, 语义搜索, 相似内容

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4
1 scripts/Checked
AI & Machine Learningjeffallan/claude-skills

rag-architect

Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.

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4
AI & Machine Learningdavila7/claude-code-templ...

stable-diffusion-image-generation

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.

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4
AI & Machine Learningjeffallan/claude-skills

prompt-engineer

Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.

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