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Found 5,424 Skills
Audit Kafka security configuration across the codebase and live cluster using the Lenses MCP server. Checks authentication (SASL), encryption (SSL/TLS), authorisation (ACLs), secrets management and environment tier mismatches. Use when user says "audit Kafka security", "check security config", "is my cluster secure" or asks about authentication, encryption or credentials. Do NOT use for configuring certificates, creating SASL users or setting up ACLs.
Complete Hyperliquid playbook — perpetuals and spot trading, margin/leverage, TWAP, real-time WebSocket data, and historical candles. Use for any Hyperliquid task. Trading triggers: place perp/spot orders (Gtc/Ioc/Alo), market-like fills, take-profit/stop-loss grouping, modify or cancel orders, batch cancels, TWAP orders (place/track fills/terminate), change leverage (cross vs isolated), adjust isolated margin, transfer USDC between spot and perp accounts (usd_class_transfer), get the EVM deposit address to fund Hyperliquid. Data triggers: read account summary (perp margin, positions, liquidation price, unrealized PnL), spot balances, portfolio, open orders, historical orders, single order status, fills (latest or by time window), funding history, rate limits, market metas (perp + spot, szDecimals), perp-only metas, spot-only metas, mid prices for all coins, L2 orderbook per coin, spot token details, allDexsAssetCtxs snapshot (funding/OI/mark prices across assets). Real-time WebSocket: wss://api.hyperliquid.xyz/ws with channels allMids, allDexsAssetCtxs (backend manages a shared subscription — agent can subscribe/unsubscribe and read the cached snapshot), l2Book, trades, candle, orderUpdates, userFills, userFundings. Historical OHLCV candles via direct POST https://api.hyperliquid.xyz/info {type: 'candleSnapshot'} — supports 1m/3m/5m/15m/30m/1h/2h/4h/8h/12h/1d/3d/1w/1M intervals up to 5000 candles. Covers all routes under /agent/trading/* (market/metas|mids|perp-metas|spot-metas|l2-book|token|all-dexs-asset-ctxs, deposit-address, account, account/spot, portfolio, rate-limit, orders, orders/details, orders/history, orders/:oid/status, twap, twap/fills, twap/:id, fills, fills/by-time, funding, leverage, margin, transfer). Triggers on mentions of Hyperliquid, "HL", perp, perpetual, funding rate, TWAP, isolated margin, cross margin, "deposit to Hyperliquid", "HIP-3", "HLP", or "HL vault". Prerequisite: openfin-setup.
Chief Security Officer mode. Infrastructure-first security audit: secrets archaeology, dependency supply chain, CI/CD pipeline security, LLM/AI security, skill supply chain scanning, plus OWASP Top 10, STRIDE threat modeling, and active verification. Two modes: daily (zero-noise, 8/10 confidence gate) and comprehensive (monthly deep scan, 2/10 bar). Trend tracking across audit runs. Use when: "security audit", "threat model", "pentest review", "OWASP", "CSO review". (gstack) Voice triggers (speech-to-text aliases): "see-so", "see so", "security review", "security check", "vulnerability scan", "run security".
Evaluates ML models for performance, fairness, and reliability. Use for metric selection, cross-validation strategies, overfitting/underfitting diagnosis, hyperparameter tuning, LLM evaluation, A/B testing, and production monitoring for model drift.
Sector-rotation snapshot across A-share, HK, and US markets — point-in-time multi-factor scoring of momentum, capital flow, and valuation to rank sectors by current cycle strength. For ongoing 6–12 month cycle positioning and allocation recommendations use longbridge-sector-monitor. Triggers: "行业轮动", "板块轮动", "行业动量排名", "强势板块", "弱势板块", "行业资金流", "板块涨幅榜", "行業輪動", "板塊輪動", "行業動量排名", "強勢板塊", "弱勢板塊", "行業資金流", "板塊漲幅榜", "sector rotation", "sector momentum ranking", "leading sector", "lagging sector", "sector capital flow", "sector strength ranking".
Generate 2D pixel art game assets, characters, sprite sheets, background removal, and game backgrounds. Trigger for "pixel art character", "sprite sheet", "walk cycle", "game sprites", "isometric sprites", "side-scroller assets", "RPG character sprites", "idle animation", "attack animation", "jump animation", "game background", "parallax background", "isometric map", "2D game art", "pixel art animation". Covers character generation (nano-banana-pro / gpt-image-2), sprite sheet animation (nano/edit or gpt-image-2/edit), background removal (Bria), and background generation (parallax layers or isometric map).
Use when starting a session, deciding which framework skill applies to the current task, or sequencing them across a feature. Maps the user's intent to one of the five framework skills (ai-driven-prd, init-claude-project, generate-dev-plan, declarative-design, execute-plan) and enforces the cross-skill operating behaviors. Triggers on "which skill should I use", "where do I start", "how do these skills fit together", "I have a PRD now what", "/using-agent-skills".
Save current task list for reuse across sessions
Generate deep research reports on prediction market events using the Octagon Prediction Markets Agent. Combines real-time Kalshi market data with AI-driven analysis to surface price drivers, compare market vs. model probabilities, and identify potential mispricings across 120+ active markets.
Onboard a project to Superlog by installing OpenTelemetry traces, logs, and metrics across every app and service in the repo. Triggers on requests like 'install Superlog', 'set up Superlog', 'add Superlog telemetry', 'onboard this repo to Superlog', 'instrument with OpenTelemetry for Superlog'.
Use when you want to discover content series across your existing work — finds clusters by theme rather than topic, identifies repeated points from different angles, flags incomplete arcs, and suggests series framing that makes relationships explicit.
Guides structured security log analysis across authentication, network, endpoint, and cloud audit log sources. Auto-invoked when the user shares log data, asks about suspicious events, needs help interpreting Windows Event IDs or Linux auth logs, or is establishing baselines for anomaly detection. Produces log source taxonomy, anomaly identification, baseline recommendations, and correlation findings mapped to MITRE ATT&CK v16 techniques.