Total 32,114 skills, AI & Machine Learning has 5185 skills
Showing 12 of 5185 skills
News briefing. Use this skill whenever the user asks for recent news or headlines. Trigger phrases include: what happened recently, today's highlights, crypto news, any new updates. MCP tools: news_events_get_latest_events, news_feed_search_news, news_feed_get_social_sentiment.
Market overview. Use this skill whenever the user asks about overall market. Trigger phrases include: how is the market, market overview, what is happening in crypto. MCP tools: info_marketsnapshot_get_market_overview, info_coin_get_coin_rankings, info_platformmetrics_get_defi_overview, news_events_get_latest_events, info_macro_get_macro_summary.
Enhance a plan with parallel research agents for each section to add depth, best practices, and implementation details
Automatically collect and summarize daily AI industry news, trends, and hot topics from platforms like GitHub (trending repos), X/Twitter (AI influencers/hashtags), and AI news aggregators. Use this skill when the user asks for "today's AI news", "AI industry updates", "what's trending in AI", or wants a daily digest of AI developments.
Implement approved OpenSpec proposal using DAG-scheduled multi-agent parallel execution
Run comprehensive agent-native architecture review with scored principles
Activates when the user asks about Agent Skills, wants to find reusable AI capabilities, needs to install skills, or mentions skills for Claude. Use for discovering, retrieving, and installing skills.
AI가 생성한 한국어 텍스트의 특징적인 패턴을 감지하고 자연스러운 인간의 글쓰기로 변환합니다. 과학적 언어학 연구(KatFishNet 논문, 94.88% AUC 정확도)에 기반합니다. 쉼표 과다, 띄어쓰기 경직성, 품사 다양성, AI 어휘 과용, 대명사 과다, 복수형 과다, 구조적 단조로움 등 24가지 패턴을 분석합니다. ChatGPT/Claude/Gemini가 생성한 한국어 텍스트를 자연스럽게 만들거나 LLM 출력에서 AI 흔적을 제거할 때 사용하세요.
Complete reference for integrating with 300+ AI models through the OpenRouter TypeScript SDK using the callModel pattern
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and production prompt strategies. Use when building AI features, improving agent performance, or crafting system prompts.
Build backend AI with Vercel AI SDK v6 stable. Covers Output API (replaces generateObject/streamObject), speech synthesis, transcription, embeddings, MCP tools with security guidance. Includes v4→v5 migration and 15 error solutions with workarounds. Use when: implementing AI SDK v5/v6, migrating versions, troubleshooting AI_APICallError, Workers startup issues, Output API errors, Gemini caching issues, Anthropic tool errors, MCP tools, or stream resumption failures.
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.