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Found 6,581 Skills
Implement Syncfusion React TimePicker component for user time selection, scheduling interfaces, and appointment booking. Use this skill whenever users need to add time picker inputs for appointment systems, scheduling apps, time-based filtering, shift management, or time range selection. Covers installation, time format customization, min/max constraints, event handling, form integration, validation patterns, and mobile responsive behavior.
Comprehensive guide for Syncfusion Angular DatePicker component implementation. Use this when building date selection interfaces with Angular, implementing date validation, applying date formatting, or handling user date input. Covers calendar-based date picking, date range selection, form integration, and locale-aware date handling.
Learn to implement Syncfusion Angular ComboBox for single-item selection with data binding, filtering, grouping, templates, and form integration. Covers local and remote data sources, custom values, keyboard navigation, and accessibility features for building flexible dropdown experiences. Use this skill when users need to add ComboBox components to Angular applications, handle data binding scenarios, implement search/filtering, customize templates, validate forms, or ensure accessibility compliance.
Implement the Syncfusion Angular AutoComplete component for type-ahead text suggestions with data binding, filtering, grouping, templates, virtualization, and form integration. Covers local and remote data sources, autofill, highlight search, custom filtering, keyboard navigation, and accessibility features. Use this when adding AutoComplete to Angular applications, configuring filtering behaviors, implementing data binding scenarios, or validating forms with autocomplete.
Implement the Syncfusion Angular DropDownList component for single-value selection from a predefined list. Use this when users need a dropdown selector, searchable dropdown, or cascading dropdowns in Angular. This skill covers data binding, filtering, templates, grouping, virtualization, and form integration using @syncfusion/ej2-angular-dropdowns.
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
Add Opik tracing to an existing codebase. Detects language (Python/TypeScript), identifies LLM frameworks, adds appropriate decorators and integrations, marks entrypoints, and wires up environment config. Use for "instrument my code", "add opik tracing", "add observability", or "trace my agent".
Connect Codex CLI as an MCP server — giving you codex_run and codex_review as native tool calls instead of black-box bash commands. codex_run covers six modes: explore (broad codebase discovery), inspect (targeted read-only and injected-context follow-up), build (write/edit code), debug (reproduce→diagnose→fix→verify), test (write/run tests), research (web search only). codex_review runs independent code review in an isolated thread. Each mode bakes in task-specific instructions so Codex performs well per task type. Use this skill whenever the user mentions: "set up codex MCP", "connect codex to claude", "codex MCP server", "install codex tools", "configure codex integration", or wants Codex available as native tools in any agent. Distributed via `npx skills add` — no global install needed.
Complete guide for integrating a new LLM backend into MassGen. Use when adding a new provider (e.g., Codex, Mistral, DeepSeek) or when auditing an existing backend for missing integration points. Covers all ~15 files that need touching.
Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR) integration.
Ensure code correctness with comprehensive unit and integration tests.
Deploy OpenClaw AI agent platform on Alibaba Cloud ECS and integrate with DingTalk bot. OpenClaw (formerly Clawdbot/Moltbot, 中文名"龙虾") is an open-source AI assistant and automation platform supporting natural language-driven task automation with multi-channel chat integration. This Skill covers the full workflow from ECS instance creation, public network configuration, base environment setup, one-click OpenClaw deployment to DingTalk bot verification. End users can chat with the AI assistant by @mentioning the bot in a DingTalk group. Triggers: "OpenClaw", "龙虾", "Clawdbot", "Moltbot", "DingTalk bot", "DingTalk AI", "deploy OpenClaw on ECS", "AI agent platform", "DingTalk integration", "openclaw dingtalk", "openclaw deploy", "DingTalk AI employee", "Alibaba Cloud OpenClaw", "Bailian + DingTalk", "DingTalk group AI", "DingTalk smart assistant", "部署龙虾", "龙虾机器人", "龙虾钉钉"