Total 55,943 skills, AI & Machine Learning has 9312 skills
Showing 12 of 9312 skills
Advanced memory operations reference. Basic patterns (profile loading, simple recall/remember) are in project instructions. Consult this skill for background writes, memory versioning, complex queries, edge cases, session scoping, retention management, type-safe results, proactive memory hints, GitHub access detection, and ops priority ordering.
Use this skill when creating new Claude Code skills from scratch, editing existing skills to improve their descriptions or structure, or converting Claude Code sub-agents or slash commands to skills. This includes designing skill workflows, writing SKILL.md files, organizing supporting files with intention-revealing names, and leveraging CLI tools and appropriate scripting.
Complex migration strategies for LangChain applications. Use when migrating from legacy LLM frameworks, refactoring large codebases, or implementing phased migration approaches. Trigger with phrases like "langchain migration strategy", "migrate to langchain", "langchain refactor", "legacy LLM migration", "langchain transition".
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.
Define an entire Cargo workspace in code — connectors, models, plays, tools, agents, MCP servers, context, capacities, territories, segments, folders, files, workers, apps — and deploy it declaratively with `cargo-ai cdk` (init → types → plan → deploy), the way you'd manage cloud infra with Pulumi or the AWS CDK. Use when the user wants to manage Cargo resources as code: reproducibly, version-controlled, in git, from a template, or across environments. Routes to authoring/deploy/typing guides (Level 2), recipes (Level 2.5), and references. For one-off imperative operations (create one connector, read a model, run a workflow), use the matching capability skill instead.
Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT.
Feishu/Lark binding: device flow authorization, connect, disconnect, status check. Use when setting up or managing Feishu/Lark connection (e.g. connect Feishu, connect Lark, bind 飞书, check Feishu status, disconnect Lark).
Capture a hard-won "golden path" from the current session as a reusable Agent Skill, so future sessions start already knowing it. Use it (1) right after non-trivial debugging, after working out a multi-step operational workflow, or after rediscovering project facts you didn't know up front — e.g. how to reach the dev/prod database, where credentials and env vars live, how to deploy, run migrations, or verify a change live; and (2) whenever the user says "remember this", "save this as a skill", "make a skill for this", "don't make me re-explain this next time", or otherwise wants a workflow preserved across sessions. Proactively recognize the moment even when unprompted: if a task took several attempts before it worked, used non-obvious tooling, or is likely to recur, harvest it without asking first. Delegates to a subagent when your tool supports one, or works inline, to extract the proven procedure into a new project-local or global skill.
Generate AI videos with Google Veo via AceDataCloud API. Use when creating videos from text descriptions, animating still images into video, upscaling/extending videos, re-shooting with new camera motion, or inserting/removing objects. Supports Veo 2 Fast, Veo 3, and Veo 3.1 models including fast and ingredient variants.
阿里云百炼联网搜索（web search）入口：为联网搜索 / 网页搜索 / 查最新资讯做路径分发。 先识别当前连接身份：Token Plan（profile `token-plan` 或 base_url host 为 `token-plan.<region>.maas.aliyuncs.com`）→ 模型自带搜索 （`bl text chat --api responses --tool '{"type":"web_search"}'`）；其他 / 默认 → Bailian MCP（`bl search web`）；仅在 MCP 鉴权失败、未开通或传输失败时兜底一次到模型自带搜索。 Token Plan 联网搜索失败、两条路径鉴权混淆的排查也走本技能。 反触发：宿主可完成的 普通问答 / 编程 / 写作 → 不触发；知识库 RAG → bailian-cli （`bl knowledge`）；生图/生视频/语音 → bailian-gen；精调/训练 → bailian-finetune； agents.yaml → bailian-managed-agent。 共享协议（consent / 版本预检 / 鉴权 / 错误上报）在 bailian-protocol；官方安装 `bl skill init`。