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Found 7,117 Skills
Generate Mermaid diagrams (.mmd) and export to PNG/SVG/PDF using mmdc CLI or Kroki API. USE THIS SKILL when user mentions diagram, flowchart, sequence diagram, class diagram, ER diagram, state machine, architecture, visualize, git graph, 画图, 架构图, 流程图, 时序图. PROACTIVELY USE when explaining ANY system with 3+ components, API flows, authentication sequences, class hierarchies, database schemas, or state machines. Supports 11+ diagram types with fully automatic layout.
Use when adding capabilities to an existing agent project — memory, app integration, VPC, multi-agent, migration, model changes, browser, code interpreter, or resource removal. Triggers on: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "auth to call agent", "streaming responses", "VPC", "VPC connectivity", "VPC error", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "after import", "migration issue", "framework for migration", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "resource-based policy on memory". Not for connecting to external APIs via Gateway — use agents-connect. Not for scaffolding a new project — use agents-get-started. Not for CLI/dev server errors — use agents-debug. Strands vs LangGraph in a migration context routes here.
Connect Figma design components to code components using Code Connect so design-system updates flow into the codebase automatically.
Use this skill for proactive backend health audits in an InsForge project — security misconfigurations, performance regressions, and system health issues surfaced by `diagnose advisor`, plus the backend-side deep-dives that pair with each advisor issue. Also use this skill when a user reports backend-wide performance degradation (high CPU/memory, all responses slow, connection pool exhaustion, lock contention) without a single failing request. Trigger on requests like "health check", "audit my backend", "review security", "check RLS policies", "find slow queries", "backend performance review", "high CPU/memory", "everything is slow", "EC2/database/system health", or pre-launch readiness audits. For reactive runtime errors with a single concrete failing request (SDK error objects, HTTP 4xx/5xx, function failures, deploy failures), use `insforge-debug` instead.
Implement Syncfusion ASP.NET Core Barcode components including BarcodeGenerator (1D codes like Code39, Code128, Codabar), QR Code Generator, and DataMatrix Generator. Use this when rendering barcodes, implementing QR codes with logo embedding, or generating DataMatrix codes. This skill covers barcode type selection, color and dimension customization, display text configuration, and export functionality (JPG, PNG, Base64).
PyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.) with distillation and quantization for deployment. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO image-classification (PyT) model. Trigger phrases include "train image classifier", "TAO classification", "ResNet/EfficientNet/FAN backbone classifier", "classification-pyt".
One industry → One ecological terrain map card (PNG). Built on the reference frame theory from *A Thousand Brains*: Lay out an industry as an overlookable 'ecological terrain' — value flows through the landscape like a river, then mark two spots on the terrain: 'Bottlenecks' (narrow passes/dams where flow/capacity constricts) and 'Value Capture Points' (treasure piles where profits accumulate). The terrain reveals power structures at a glance: Places that control flow are often not where money accumulates. Includes base rates (scales) for three key indicators + three 'Big Questions' (frontier topics). Powered by deep real-network research, maps are AI-generated (default -a Animal Crossing warm cute style, optional -c pixel+cyber style), with Jigang Ji standing on the terrain overlooking. Use when user says '行业地图', '产业地图', '生态地形图', '画一下这个行业', 'industry map', 'map this industry', '行业版图', '产业链地图', '/ljg-map', or provides an industry/domain name wanting its terrain mapped. Style: Default -a Animal Crossing, add -c for cyber style. NOT FOR: Ranked search for generators in a domain (use ljg-rank), book dissection (use ljg-book), individual project investment analysis (use ljg-invest), deep dive into a single concept (use ljg-think).
Send messages via Twilio's Programmable Messaging API across all channels — SMS, MMS, RCS, and WhatsApp. Covers text messages, media, rich content (cards, carousels, buttons), template-based sends, Messaging Services, status callbacks, and WhatsApp's 24-hour service window. Use when the user wants to send a message — whether they say "send SMS", "text message", "branded message", "rich message", "WhatsApp message", "RCS message", "notification", or "alert". For picking the right channel for a use case, first consult twilio-messaging-channel-advisor.
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`。
Upgrade React applications to latest versions, migrate from class components to hooks, and adopt concurrent features. Use when modernizing React codebases, migrating to React Hooks, or upgrading to latest React versions.
Implement routing in Angular v20+ applications with lazy loading, functional guards, resolvers, and route parameters. Use for navigation setup, protected routes, route-based data loading, and nested routing. Triggers on route configuration, adding authentication guards, implementing lazy loading, or reading route parameters with signals.
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.