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Found 2,683 Skills
Debug and troubleshoot Flux CD on live Kubernetes clusters (not local repo files) via the Flux MCP server — inspects Flux resource status, reads controller logs, traces dependency chains, and performs installation health checks. Use when users report failing, stuck, or not-ready Flux resources on a cluster, reconciliation errors, controller issues, artifact pull failures, or need live cluster Flux Operator troubleshooting.
MindOS Knowledge Base Operation Guide (Chinese) for Agent tasks on local markdown/csv knowledge bases. It should be automatically triggered whenever tasks involve note files, SOP/workflow documents, profile/context documents, CSV tables, knowledge base organization, cross-Agent handover or decision synchronization, and are executed via the MindOS MCP tool. Typical requests include "update notes", "search knowledge base", "organize files", "execute SOP", "review according to team standards", "hand over tasks to another Agent", "synchronize decisions", "append to CSV", "retrospect this conversation", "extract key experiences", "adaptively update retrospective results to corresponding documents", "route this information to corresponding files", "synchronously update all related documents", etc.; it should be triggered even if the user does not explicitly mention MindOS.
Enables agents to register, manage, and execute scheduled tasks using OS native scheduler (crontab for Linux/WSL, launchd for macOS). No git, no dangerous flags, no session dependency. Tasks run headless, output to log files, user reads when ready. Use this skill when: - User wants to schedule recurring tasks with natural language - User mentions "every day at", "cada hora", "schedule", "programar", "automatizar" - User needs tasks to run without open session (headless) - User wants OS-level scheduling (crontab/launchd) - User mentions "cada minuto durante la próxima hora" or temporal intervals ACTIVATE when user mentions: "schedule", "programar", "cron", "cada día", "every hour", "automate", "tarea programada", "ejecutar automáticamente", "recordatorio", "cada minuto durante", "durante la próxima", "intervalo", "task scheduler", "opencode headless", "kiro scheduled", "background task", "tarea en segundo plano" DO NOT USE for: git operations, dangerous permissions, MCP sampling dependency.
Source-backed research orchestrator for the Fusion ecosystem. Routes to the correct research agent based on question type. Returns source-backed evidence only; will not invent Framework behavior, component APIs, or skill catalog relationships. USE FOR: any research question needing source-backed evidence about Fusion Framework APIs, EDS components, or the Fusion skill catalog. DO NOT USE FOR: implementing code changes, installing or editing skills, MCP setup or troubleshooting, or inventing Fusion behavior without evidence.
Intelligent network quality analysis with adaptive loading strategies. Detects connection type (2g/3g/4g), bandwidth, RTT, and save-data mode, then automatically triggers appropriate optimization workflows. Includes decision trees that recommend image compression for slow connections, critical CSS inlining for high RTT, and save-data optimizations (disable autoplay, reduce quality). Features connection-aware performance budgets (500KB for 2g, 1.5MB for 3g, 3MB for 4g+) and adaptive loading implementation guides. Cross-skill integration with Loading (TTFB impact), Media (responsive images), and Core Web Vitals (connection impact on LCP/INP). Use when the user asks about slow connections, mobile optimization, save-data support, or adaptive loading strategies. Compatible with Chrome DevTools MCP.
Build with Surf pay-per-use APIs at surf.cascade.fyi. Twitter data, Reddit data, web search/crawl, and LLM inference - no signup, no API keys, just pay per call. Use when working with Surf endpoints, fetching Twitter/X data, Reddit data, web crawling/search, pay-per-request LLM inference, setting up x402-proxy or @x402/fetch with Surf, or any mention of surf.cascade.fyi. Triggers on surf, surf.cascade.fyi, surf API, twitter data, reddit data, web crawl, surf inference, x402 endpoints, MCP surf tools.
Financial time series analysis method toolkit. Covers stocks / commodity futures / cryptocurrencies / ETFs / foreign exchange / indices, full process from data acquisition to high-level analysis. Built-in 70+ analysis methods, covering 8 major method domains: time series testing, predictive modeling, cross-asset relationships, volatility risk, portfolio optimization, state recognition, commodity-specific analysis and network analysis. Tushare MCP tool (A shares/Hong Kong stocks/US stocks/futures/funds/macro) is preferred for data acquisition, and yfinance scripts are used to supplement assets not covered by tushare such as commodity futures (CL=F) and crypto (BTC-USD).
Vercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.
Cross-product Zoom reference skill. Use after the workflow is clear when you need shared platform guidance, app-model comparisons, authentication context, scopes, marketplace considerations, or API-vs-MCP routing.
Create, manage, and deploy Power BI semantic models inside Microsoft Fabric workspaces via `az rest` CLI against Fabric and Power BI REST APIs. Use when the user wants to: (1) create a semantic model from TMDL definition files, (2) retrieve or download semantic model definitions, (3) update a semantic model definition with modified TMDL, (4) trigger or manage dataset refresh operations, (5) configure data sources, parameters, or permissions, (6) deploy semantic models between pipeline stages. Covers Fabric Items API (CRUD) and Power BI Datasets API (refresh, data sources, permissions). For read-only DAX queries, use `powerbi-consumption-cli`. For fine-grained modeling changes, route to `powerbi-modeling-mcp`. Triggers: "create semantic model", "upload TMDL", "download semantic model TMDL", "refresh dataset", "semantic model deployment pipeline", "dataset permissions", "list dataset users", "semantic model authoring".
Granola platform help — bot-free AI notepad for meetings, local audio capture (no bot joins calls), REST API at public-api.granola.ai/v1, MCP integration (beta), HubSpot/Attio/Affinity CRM sync, Zapier automation, pricing tiers (Free/Business $14/Enterprise $35). Use when setting up Granola for a sales team, configuring HubSpot CRM sync from meeting notes, building automations with the Granola API or Zapier triggers, choosing between Granola and other bot-free note-takers (Jamie, Krisp, Tactiq), troubleshooting blank notes or silent recording failures, or managing note sharing and privacy settings. Do NOT use for reviewing a single call for coaching (use /sales-call-review) or comparing note-taker platforms broadly (use /sales-note-taker).
Wave platform help — AI note-taker with mobile-first recording (iOS, Android, Mac, Windows, Apple Watch, Chrome, web), 76-language transcription, Voice ID speaker labeling, REST API with semantic search and webhooks, MCP server. Use when recording meetings on your phone and transcripts aren't accurate, setting up Wave API to pull session transcripts into your CRM, configuring Wave webhooks for real-time session notifications, phone call recording stops when another call comes in, Wave meeting bot not joining Zoom or Google Meet, comparing Wave pricing vs Fathom or Otter for a small team, searching across all your Wave recordings with the API, or exporting Wave summaries to Notion or Google Docs. Do NOT use for choosing between multiple note-takers (use /sales-note-taker) or reviewing a call for coaching (use /sales-call-review).