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All Skills

Total 54,043 skills, AI & Machine Learning has 8989 skills

Categories

Showing 12 of 8989 skills

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AI & Machine Learninggoogle/skills

google-ads-api-mcp-setup

Guides developers through downloading, configuring, and installing the official open-source Google Ads MCP Server. Use this skill when a user wants to connect their AI assistant (such as Gemini, Claude Code, or Cursor) to their Google Ads account to query campaigns or retrieve reporting metrics using natural language.

🇺🇸|EnglishTranslated
48
AI & Machine Learningsecondsky/claude-skills

ai-sdk-core

Vercel AI SDK v5 for backend AI (text generation, structured output, tools, agents). Multi-provider. Use for server-side AI or encountering AI_APICallError, AI_NoObjectGeneratedError, streaming failures.

🇺🇸|EnglishTranslated
48
13 scripts/Attention
AI & Machine Learningyoung-tim/ai-tools

dify-manage

Manages Dify via bundled CLI: pull/export DSL, patch working.yml, deploy, cache remote files, upload to Dify, run/chat workflows. Use when the user mentions Dify, workflow DSL, pull, deploy, dify-manage, or Dify file inputs.

🇺🇸|EnglishTranslated
48
2 scripts/Checked
AI & Machine Learningaradotso/ai-agent-skills

agentic-commerce-protocol

Integrate the Agentic Commerce Protocol (ACP) for AI-driven commerce between buyers, agents, and businesses

🇺🇸|EnglishTranslated
48
AI & Machine Learningglebis/claude-skills

synthetic-session-generator

This skill should be used to generate realistic, persona-consistent synthetic coaching and therapy session transcripts for evals, demos, and training data. It produces fictional but believable coach/client (or therapist/client) dialogue grounded in a chosen modality (ICF/GROW coaching, CBT, IFS parts work, ACT/motivational interviewing) and exports to Fathom/Granola transcript style, plain dialogue, structured JSON, or Obsidian markdown. Triggers on requests like "generate a synthetic coaching session", "make fake therapy transcripts for evals", "create demo session transcripts", "synthetic CBT dialogue", "persona-consistent coaching transcript", "test data for my session summarizer", or "mock coaching call".

🇺🇸|EnglishTranslated
48
5 scripts/Checked
AI & Machine Learningprava-payments/prava-skil...

swiggy-prava-skill

End-to-end Swiggy ordering with Prava card-token checkout. Use when the user wants an AI agent to set up Swiggy MCP, browse/search Swiggy Food/Instamart/Dineout, choose a saved delivery address, add or review Swiggy cart items, create a Prava authorization/payment session, and complete Swiggy checkout using Prava-issued tokenized card credentials. Also use when the user asks to install or configure the Swiggy MCP plus Prava payment flow for agentic purchases.

🇺🇸|EnglishTranslated
48
AI & Machine Learningmicrosoft/agent-skills

azure-ai-textanalytics-py

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text. Triggers: "text analytics", "sentiment analysis", "entity recognition", "key phrase", "PII detection", "TextAnalyticsClient".

🇺🇸|EnglishTranslated
48
AI & Machine Learningveithly/tavily-search

tavily-search

Tavily AI search API - Optimized search for AI agents. Use when searching the web for current information, news, facts, or any task requiring real-time data.

🇺🇸|EnglishTranslated
48
1 scripts/Checked
AI & Machine Learningveithly/proactive-agent

proactive-agent

Self-improving agent that can upgrade skills, learn new capabilities, and adapt to new tasks. Use when you need to evolve capabilities or handle unknown tasks.

🇺🇸|EnglishTranslated
48
1 scripts/Checked
AI & Machine Learningmguinada/agent-skills

ai-engineering

Build AI agents and agentic workflows. Use when designing/building/debugging agentic systems: choosing workflows vs agents, implementing prompt patterns (chaining/routing/parallelization/orchestrator-workers/evaluator-optimizer), building autonomous agents with tools, designing ACI/tool specs, or troubleshooting/optimizing implementations. **PROACTIVE ACTIVATION**: Auto-invoke when building agentic applications, designing workflows vs agents, or implementing agent patterns. **DETECTION**: Check for agent code (MCP servers, tool defs, .mcp.json configs), or user mentions of "agent", "workflow", "agentic", "autonomous". **USE CASES**: Designing agentic systems, choosing workflows vs agents, implementing prompt patterns, building agents with tools, designing ACI/tool specs, troubleshooting/optimizing agents.

🇺🇸|EnglishTranslated
48
AI & Machine Learningzjfls/tauriai

learn-deep-learning

Deep learning learning path: recommendations for book lists, courses, practical projects, and how to conduct experiments step by step.

🇨🇳|ChineseTranslated
48
AI & Machine Learningclaude-office-skills/skil...

ai-agent-builder

Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns

🇺🇸|EnglishTranslated
48
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