Total 56,626 skills, AI & Machine Learning has 9429 skills
Showing 12 of 9429 skills
Gemini API를 사용한 슬라이드 이미지 렌더링 스킬. renderer-agent가 프롬프트 파일을 이미지로 변환할 때 사용. generate_slide_images.py 스크립트 실행 가이드, 환경 요구사항, 출력 해석, 에러 처리 방법을 포함합니다.
Plans.mdのタスクを実装。スコープを聞いて自動判断、1タスクから全タスクまで。Use when user mentions '/work', execute plan, implement tasks, build features, work on tasks, 'do everything', 'implement', '実装して', '全部やって', 'ここだけ'. Do NOT load for: planning, reviews, setup, deployment, or breezing (team execution).
Guide VibeCoder (non-technical users) in natural language development. Use this when users ask what to do next, how to use the system, need help, or are stuck. Do NOT load this for: technical user work, direct implementation requests, or reviews.
Use when an existing agent already works without Prefactor and you need to add tracing for runs, llm calls, tool calls, and failures with minimal behavior changes.
One-click comprehensive analysis of cryptocurrencies. Collect data from five dimensions - price, news sentiment, sector comparison, market environment, and project fundamentals - through parallel sub-agents, and output an HTML report (including 24-hour market trends and 7-day trends) after cross-analysis. Trigger phrases: Analyze BTC, analyze ETH, How is Bitcoin?, Is SOL worth buying?
Improve and rewrite user prompts to reduce ambiguity and improve LLM output quality. Use when a user asks to optimize, refine, clarify, or rewrite a prompt for better results, or when the request is about prompt optimization or prompt rewriting.
Generate and edit images using AI. Use when users ask to: create/draw/generate images, take selfies, edit/modify photos, change backgrounds, add elements to images, create avatars, make logos, etc. Covers requests like '发自拍', '画一只猫', '把背景换成蓝色', 'generate a logo', 'send me a selfie'.
Discover and install skills from multiple marketplaces for AI coding agents
Deep web research with parallel investigators, multi-wave exploration, and structured synthesis. Spawns multiple web-researcher agents to explore different facets of a topic simultaneously, launches additional waves when gaps are identified, then synthesizes findings. Use when asked to research, investigate, compare options, find best practices, or gather comprehensive information from the web.\n\nThoroughness: quick for factual lookups | medium for focused topics | thorough for comparisons/evaluations (waves continue while critical gaps remain) | very-thorough for comprehensive research (waves continue until satisficed). Auto-selects if not specified.
Find past solutions before starting work - search errors you've fixed, files you've changed, similar questions you've asked, tool workflows that succeeded. Reduces web research and prevents redundant work.
Save and retrieve memories or embeddings via the repo helpers or API. Use when working with embedding config or memory storage.
Three-phase design review. Chain architect → refiner → critique subagents. Triggers on: 'design review', 'architecture review', '/arc', system design proposals, significant refactoring decisions, new service or module design.