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Found 448 Skills
Apply Sherlock Holmes' deductive method to debug code, diagnose system issues, and solve technical puzzles using systematic elimination and logical reasoning
WebRTC peer-to-peer communication. Signaling, ICE/STUN/TURN, media streams, data channels, screen sharing, and SFU integration (mediasoup, LiveKit). USE WHEN: user mentions "WebRTC", "video call", "peer-to-peer", "P2P", "screen sharing", "data channel", "STUN", "TURN", "mediasoup", "LiveKit" DO NOT USE FOR: server-to-client streaming - use `sse`; chat messaging - use `socket-io`
Guided Perses dashboard creation: gather requirements (metrics, datasource, layout), generate CUE definition or JSON spec, validate with percli lint, deploy with percli apply or MCP perses_create_dashboard. Use when user wants to create a new Perses dashboard, build a monitoring dashboard, or generate dashboard definitions. Use for "create perses dashboard", "new dashboard", "perses new dashboard", "build dashboard". Do NOT use for Grafana migration (use perses-grafana-migrate) or plugin development (use perses-plugin-create).
Perses variable lifecycle management: create Text and List variables at global, project, or dashboard scope. Handle variable chains with dependencies (A depends on B depends on C). Supports 14+ interpolation formats. Uses MCP tools when available, percli CLI as fallback. Use for "perses variable", "dashboard variable", "perses filter", "add variable". Do NOT use for datasource management (use perses-datasource-manage).
Create session handoff artifacts (HANDOFF.json + .continue-here.md) that capture completed work, remaining tasks, decisions, uncommitted files, and reasoning context so the next session can resume without reconstruction overhead. Use for "pause", "save progress", "handoff", "stopping for now", "end session", "pick this up later". Do NOT use for task planning (use task_plan.md), session summaries (use /retro), or committing work (use /commit or git directly).
Perses plugin scaffolding and creation: select plugin type (Panel, Datasource, Query, Variable, Explore), generate with percli plugin generate, implement CUE schema and React component, test with percli plugin start, build archive with percli plugin build. Use for "create perses plugin", "new panel plugin", "new datasource plugin", "perses plugin scaffold". Do NOT use for dashboard creation (use perses-dashboard-create).
Use when cognee is a Python AI memory engine that transforms documents into knowledge graphs with vector and graph storage for semantic search and reasoning. Use this skill when writing code that calls cognee's Python API (add, cognify, search, memify, config, datasets, prune, session) or integrating cognee-mcp. Covers the full public API, SearchType modes, DataPoint custom models, pipeline tasks, and configuration for LLM/embedding/vector/graph providers. Do NOT use for general knowledge graph theory or unrelated Python libraries.
20 "In Market" Bridgebound triggers from Flip The Script - Adjacent Vendors, Competitors, and Time-Based signals. Use when targeting active buyers, building competitive displacement campaigns, or leveraging seasonal/event timing.
Generate a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. Triggers include: "earnings preview for AAPL", "what to expect from TSLA earnings", "MSFT reports next week", "earnings preview", "pre-earnings analysis", "what are analysts expecting for NVDA", "earnings estimates for", "will GOOGL beat earnings", "earnings beat/miss history", "upcoming earnings", "before earnings", "earnings setup", "consensus estimates", "earnings whisper", "EPS expectations", "what's the street expecting", "earnings season preview", any mention of preparing for or previewing an earnings report, or any request to understand expectations ahead of a company's earnings date. Always use this skill when the user mentions a ticker in context of upcoming earnings, even if they don't say "preview" explicitly.
Use when generating or reasoning over text with Alibaba Cloud Model Studio Qwen flagship text models (`qwen3-max`, `qwen3.5-plus`, `qwen3.5-flash`, snapshots, and compatible open-source variants). Use when building chat, agent, tool-calling, or long-context text generation workflows on Model Studio.
Expertise in F2P economics, virtual currencies, and ethical monetization strategiesUse when "game monetization, F2P economy, in-app purchase, IAP strategy, battle pass design, loot box, gacha system, virtual currency, player LTV, whale monetization, game economy balance, premium currency, season pass, daily rewards, pay to win, ethical monetization, monetization, f2p, free-to-play, iap, in-app-purchase, battle-pass, season-pass, gacha, loot-box, virtual-economy, game-economy, ltv, arpu, retention, whales, pricing, microtransactions" mentioned.
Educational map of risk exposure screening—typical risk indicator taxonomies, exposure value and percentage, address-level vs transaction-level engines, and common template families (entity label, multi-hop interaction, blacklist). Use when the user asks how commercial screening tools reason about labeled addresses, tainted flows, or deposit vs withdrawal checks—not for legal sanctions determinations or substituting a vendor’s live rules.