Total 31,188 skills, AI & Machine Learning has 5047 skills
Showing 12 of 5047 skills
Guide for creating or updating simple, standalone skills with a single SKILL.md file
Guides users through AI video production on the Seedance platform — from creative ideation and asset preparation through storyboarding to production-ready prompts. Triggers on keywords such as Seedance, AI video, storyboard, camera movement, video extension, one-shot take.
Verify structure analysis output against source code. Check file:line references, component completeness, and Mermaid diagram validity. Runs as independent Critic in fork context. Use when: verify structure, check structure map, validate phase 1, re-verify-structure.
Advanced metacognitive dialogue skill with cross-session accumulation. Builds a meta-profile of hypotheses about your thinking patterns, detects when patterns break (more valuable than confirmation), and includes frame-health safeguards against self-negation and direction errors. Hypothesis-first approach — challenges before confirms. 세션 간 축적형 메타인지 대화 스킬. 가설 기반 메타 프로필을 누적하고, 패턴 깨짐을 감지하며, 자기부정/방향오류 안전장치를 포함합니다. 확인보다 도전을 먼저 하는 대화 방식.
AI image generation with OpenAI, Google, DashScope and Canghe APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
Use when creating OpenCode plugins that hook into command, file, LSP, message, permission, server, session, todo, tool, or TUI events - provides plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript event-driven modules
Concurrent investigation of independent failures. Use when multiple unrelated issues need parallel resolution.
AI-powered document, image, and flowchart generation. Use this skill when generating images with fal.ai, creating flowcharts/diagrams, generating Google Docs, creating client proposals, converting markdown to PDF, or summarizing content. Triggers on image generation, diagram creation, document generation, or content formatting requests.
Image generation and editing using Google Gemini's Nano Banana Pro (gemini-3-pro-image-preview) model. Use when user requests: "Generate an image", "Create an image", "Make me a picture", "Draw", "Edit that image", "Change the color", "Remove background", "Add transparency", "Modify this image", "Make it transparent", "Change the style", "Add text to image", or any image creation/manipulation task. Supports text-to-image generation, image editing, multi-turn conversations, and transparency extraction via difference matting technique.
AI integration with Vercel AI SDK - Build AI-powered applications with streaming, function calling, and tool use. Trigger: When implementing AI features, when using useChat or useCompletion, when building chatbots, when integrating LLMs, when implementing function calling.
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
Proactively summarize and consolidate knowledge from AI conversation sessions. Auto-triggers when: (1) Starting a new session after meaningful previous work, (2) Session contains significant learnings worth preserving. Captures debugging insights, architecture decisions, patterns, configs, and lessons learned into structured knowledge documents. Explicit triggers: 'summarize', 'consolidate', 'save knowledge', 'document this'.