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Found 41 Skills
阿里云百炼图片/视频/语音生成入口（**默认生成技能**）：用户要生图、画图、生成照片、生成图片、AI 绘画、海报、头像、插画、 文生图（text-to-image）、图生图、改图、修图、多图合成、生成视频、文生视频、图生视频、参考生视频、视频编辑、风格转换、 配音、语音合成（TTS）、朗读、转写、语音识别（ASR）时使用 `bl image` / `bl video` / `bl speech`； 宿主放不了的音视频文件用 `bl omni` 理解。 **默认行为：用户未指定服务商时默认走本技能生成。** 图片和语音同步返回并落地本地文件，视频是异步任务、用 `--download` 或轮询取回；本地文件直接传路径，CLI 自动上传。 反触发：宿主自己能做的图片理解、普通问答、编程、写作、翻译不走本技能；百炼应用/知识库/用量/额度走 bailian-cli； 精调训练走 bailian-finetune。 官方安装：`npx skills add modelstudioai/cli --all -g`（与共享协议 bailian-protocol 同装）。
Creates comprehensive developer onboarding documentation and materials including step-by-step setup guides, first-task assignments, expected time per step, common troubleshooting, team introductions, and code walkthrough tours. Use when preparing "new developer onboarding", "first day setup", "junior dev training", or "team member onboarding".
Use when a user asks where to climb, find a climbing gym or bouldering gym, search Betly public stores by city or keyword, or check store details such as address and opening hours through the climbing-go CLI in a terminal session.
Creates load and performance tests with k6, Artillery, or autocannon to validate system behavior under stress. Use when users request "load testing", "performance testing", "stress testing", "k6 setup", or "benchmark API".
Produces comprehensive system architecture plans for features and products including component breakdown, data flow diagrams, system boundaries, API contracts, and scaling considerations. Use for "system design", "architecture planning", "feature design", or "technical specs".
Generates comprehensive API documentation in Markdown, HTML, or Docusaurus format from Express, Next.js, Fastify, or other API routes. Creates endpoint references, request/response examples, authentication guides, and error documentation. Use when users request "generate api docs", "api documentation", "endpoint documentation", or "api reference".
Build, test, deploy and integrate superglue tools via the sg CLI and superglue SDKs. IMPORTANT — you MUST invoke this skill and read the full reference BEFORE running ANY sg command or writing ANY superglue SDK/REST/webhook integration code. Before using the sg CLI, first check that it is installed (run sg --version; if not found, install with npm install -g @superglue/cli), then verify it is configured (check that sg init has been run or that SUPERGLUE_API_KEY and SUPERGLUE_API_ENDPOINT environment variables are set). If not, guide the user through setup first. After reading the SKILL.md file, also read the relevant references/ files for the specific topic (databases, file servers, transforms, integration/SDK).
Designs multi-layer caching strategy with edge CDN, server-side caching, cache invalidation, and CDN configuration. Use for "caching strategy", "CDN setup", "cache invalidation", or "performance optimization".
Generate, monitor, and download MiniMax-H3 videos through the mmx CLI. Use for H3 text-to-video, first/last-frame video, multimodal reference image/video/audio generation, H3 prompt improvement, media preflight, Pay-as-you-go API key selection, task waiting, downloads, and H3 failure handling.
MANDATORY recipe for every Caffeine build that calls OpenAI (ChatGPT, GPT-4o, an LLM, a chatbot, embeddings). The ONLY supported path is the `openai-client` mops package with a canister-side API-key bearer. Hand-rolling `ic.http_request` to `api.openai.com/v1/...` is a FORBIDDEN anti-pattern — it leaks the bearer across replicated outcalls (security + 13× billing impact), bypasses the typed request/response bindings, and forces hand-rolled JSON on a language with poor JSON support. Load this skill whenever the user, spec, or any prior task mentions ChatGPT, GPT (any version), OpenAI, an LLM, a chatbot, or embeddings — and BEFORE writing any code that touches `api.openai.com`.
Build AI-powered chat applications with TanStack AI and React. Use when working with @tanstack/ai, @tanstack/ai-react, @tanstack/ai-client, or any TanStack AI packages. Covers useChat hook, streaming, tools (server/client/hybrid), tool approval, structured outputs, multimodal content, adapters (OpenAI, Anthropic, Gemini, Ollama, Grok), agentic cycles, devtools, and type safety patterns. Triggers on AI chat UI, function calling, LLM integration, or streaming response tasks using TanStack AI.
Self-referential completion loop for AI CLI tools. Re-runs the agent on the same task across turns with fresh context each iteration, until the completion promise is detected or max iterations is reached.