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Found 3,839 Skills
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.
Connects an existing AWS Lambda function to Amazon API Gateway by creating a REST or HTTP API with resource/method setup, Lambda proxy integration, permissions, and deployment. Always use this skill when connecting Lambda to API Gateway — it handles CORS, throttling, access logging, and production security hardening that are easy to miss.
Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan".
Implements Syncfusion Blazor SfDataManager for data access, data binding, and adaptor configuration in Blazor Server, WebAssembly, and Web App. Used when binding components like SfGrid and SfDropDownList to local or remote data sources, choosing adaptors (UrlAdaptor, ODataAdaptor, WebApiAdaptor, GraphQLAdaptor), or performing CRUD. Includes custom binding using DataAdaptor, DataManagerRequest, DataOperations, and the Syncfusion.Blazor.Data package.
Implements Syncfusion Blazor Gantt for project scheduling. Covers SfGantt, GanttTaskFields, GanttColumns, GanttEditSettings, taskbar editing, dependencies, resources, timeline, critical path, baselines, and Excel/PDF export. Applicable for Blazor Gantt charts, task scheduling, WBS, and Syncfusion.Blazor.Gantt integration.
Valuation analysis for a single stock via Longbridge — current PE / PB / PS / EV-EBITDA snapshot, historical percentile (1–3 years), industry median + relative premium, industry rank. Triggers: "估值贵不贵", "是不是被低估", "PE 历史百分位", "PB 分位", "行业溢价", "行业折价", "X 现在适合买不", "估值水平", "估值貴不貴", "是否被低估", "PE 歷史分位", "行業溢價", "行業折價", "is X expensive", "is X undervalued", "PE percentile", "industry valuation premium", "valuation snapshot".
Industry valuation comparison and distribution analysis via Longbridge — cross-peer valuation matrix (PE / PB / PS / dividend yield), industry-percentile ranking, and industry premium / discount for a single stock. Triggers: "行业估值", "行业溢价", "行业折价", "行业对比", "行业百分位", "同行业估值", "板块估值", "行业贵不贵", "行業估值", "行業溢價", "行業折價", "行業對比", "行業百分位", "板塊估值", "industry valuation", "sector valuation", "industry premium", "industry percentile", "peer valuation", "sector PE", "TSLA.US industry valuation", "700.HK sector comparison".
Aggregated news, regulatory filings, and Longbridge-community discussion for a single stock — classified into catalyst / regulatory / strategic / financial / opinion / other, with a fact-only key-takeaway summary and a sentiment skew. Falls back to WebSearch only when data is sparse or stale, and labels the source. Triggers: "X 最近新闻", "X 公告", "市场对 X 财报怎么看", "X 社区讨论", "X 公司动态", "市场情绪", "最近怎么了", "X 最近新聞", "X 公告", "市場對 X 財報怎麼看", "X 社區討論", "recent news", "company filings", "market reaction", "what is everyone saying about X", "community sentiment", "8-K", "港交所披露", "earnings reaction".
Account holdings — stock positions, fund positions, multi-currency assets / cash, margin ratio (initial / maintenance / forced liquidation), and estimated max buy/sell quantity for a symbol. Requires longbridge login. Triggers: "我的持仓", "我有什么股票", "账户余额", "我有多少美金", "基金持仓", "我能买多少股", "保证金率", "杠杆要求", "账户全貌", "我的持倉", "賬戶餘額", "我有多少美金", "基金持倉", "保證金率", "賬戶全貌", "my holdings", "stock positions", "account balance", "how much can I buy", "margin ratio", "max buy qty", "portfolio snapshot".
Use when you need to run tests for React core. Supports source, www, stable, and experimental channels.
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.
Tailwind CSS v4 setup, theme variables, content sources, custom styles, and Vite/PostCSS/CLI integration. Use when styling with utility classes, configuring theme or content, or integrating Tailwind in a build pipeline.