Total 57,364 skills, AI & Machine Learning has 9542 skills
Showing 12 of 9542 skills
Use when the user needs an end-to-end article illustration workflow in this repository that preserves Type x Style planning, loads article-illustration preferences, recommends Alibaba Cloud image backends, and produces a Markdown article with inserted local image references.
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
One-click installer for Gate MCP and all Gate Skills in Claude Code (Claude CLI). Installs Gate MCP servers (main/dex/info/news, selectable) and all skills from the gate-skills repository. Installs all MCPs + all skills by default; skills are always fully installed.
Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search. Use this skill when the user mentions "mem0", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user doesn't explicitly say "mem0" but describes needing conversation memory, user context retention, or knowledge retrieval across sessions.
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.
사용자가 지정한 상위 모델을 Advisor로 세워 현재 작업의 결정점에서 컨설트한다. 접근 확정 전 검토, 완료 선언 전 검증, 막힘 진단에 쓴다. advisor 모델은 디폴트 없이 호출 시 사용자가 직접 지정하며, 미지정이면 동작하지 않는다. 사용자가 /advisor-strategy로 호출한 경우에만 실행한다.
Add AI navigation in Unity 6: bake a NavMesh with the AI Navigation package (NavMeshSurface), move agents with NavMeshAgent.SetDestination, and handle dynamic obstacles. Use when setting up pathfinding, making an enemy chase the player, baking navigation, or when the user mentions NavMesh, NavMeshAgent, NavMeshSurface, NavMeshObstacle, or Unity pathfinding.
阿里云百炼托管 Agent 声明式基础设施入口：用户要创建agent、初始化 agents.yaml、校验或预览 agent 配置变更、 创建/更新/销毁百炼托管 Agent、和托管 agent 对话、查会话事件历史、导入或取消跟踪远端资源时使用 `bl managed-agent`。以 agents.yaml 为唯一事实源做 IaC：init 建脚手架、validate 离线校验、plan 预览 diff、 apply / destroy 变更远端资源且必须带 `--yes`，务必先 plan 给用户看 diff 再让其确认。 反触发：调用已上线的百炼应用/智能体走 bailian-app-call 或 `bl app`；宿主 agent 自身的记忆、技能、 子代理不走本 skill；生图生视频走 bailian-gen。 官方安装：`npx skills add modelstudioai/cli --all -g`（与共享协议 bailian-protocol 同装）。
Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for live RTSP captioning or incident-range reports.
Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for report generation or live RTSP captioning.
Generate and EDIT images with OpenAI gpt-image-2 via AceDataCloud API. Use when you need high-fidelity images from a prompt, or to edit/composite existing images (e.g. fuse a real logo/QR/screenshot into a scene, keep characters consistent, restyle). Strong at legible text and faithful editing.
Generate and edit images with Flux (Black Forest Labs) via AceDataCloud API. Use when creating images from text prompts, editing existing images with text instructions, or when high-quality image generation is needed. Supports multiple Flux models including dev, pro, Flux 2 variants, and kontext for editing.