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Found 45 Skills
Guides users through their first trade on Senpi/Hyperliquid. Walks through discovery (top traders), creating a mirror strategy with a chosen trader, monitoring, and closing the strategy. Use when user says "let's trade", "first trade", "teach me to trade", "how do I trade", or when state is AWAITING_FIRST_TRADE. Can also run when state is not READY (e.g. after entrypoint Step 3); then prompts for wallet funding before starting when needed. Requires Senpi MCP to be connected.
Give your agent a budget, a target, and a deadline — it does the rest. Orchestrates DSL + Opportunity Scanner + Emerging Movers into a full autonomous trading loop on Hyperliquid. Race condition prevention, conviction collapse cuts, cross-margin buffer math, speed filter. 3 risk profiles: conservative, moderate, aggressive. Use when setting up autonomous trading, creating a trading strategy, or running a scan-evaluate-trade-protect loop.
Opinionated trailing stop loss preset for Hyperliquid perps with tighter defaults than DSL v4. 4 tiers with per-tier breach counts that tighten as profit grows (3→2→2→1), auto-calculated price floors from entry and leverage, stagnation take-profit that closes if ROE ≥8% but high-water stalls for 1 hour. Same ROE-based engine as DSL v4 — different defaults, fewer knobs. Use when you want aggressive profit protection with minimal configuration.
Analyze historical downtrend durations and generate interactive HTML histograms showing typical correction lengths by sector and market cap.
Near-expiry conviction trading on Polymarket. Snipe markets about to resolve when the odds are heavily skewed. Filter by topic, cap your bets, and only trade strong splits close to deadline.
Test trading strategies on historical data to evaluate performance, risks, and profitability.
POLAR v2.4 — ETH Alpha Hunter (sniper recalibration). Single-asset ETH lifecycle scanner with conviction-scaled leverage, move-exhaustion scoring, and same-direction re-entry cooldown. v2.4 recalibration after -31.7% ROE on 381 trades: MIN_SCORE raised 8→10 (Cheetah v5.1 APEX pattern), leverage tiers shifted to 7x at 10-11 / 10x at 12+, cooldown raised 120→240 min, new MIN_SM_ACCEL_PCT=0.3 hard gate on 15m velocity. DSL exit managed by plugin runtime via runtime.yaml.
Analyze option volatility by combining vol surface data, option pricing with Greeks, and historical price data to assess implied vs realized volatility. Use when pricing options, analyzing volatility surfaces, computing Greeks, assessing vol premiums, or evaluating vol trading strategies.
Starter Coach V2 — conversational 6-step skill that guides users to build their own automated DEX spot-trading bot on OKX DEX. Onboard → User Profile → Build Strategy → Paper Trade → Go Live. Uses OnchainOS CLI for all on-chain data, backtesting, and trade execution. No freeform trading code — emits validated JSON strategy specs. Triggers: starter coach, trading bot builder, strategy builder, help me build a bot, vibe trading, paper trade, backtest strategy, go live trading, build trading strategy, 交易机器人, 策略构建, 量化策略, 自动交易, 做单机器人, 帮我建策略
SCORPION v2.0 — Momentum Event Consensus. Complete rewrite. Uses leaderboard_get_momentum_events (real-time threshold crossings) to detect when 2+ quality SM traders cross momentum thresholds on the same asset/direction within 60 minutes. Confirmed by market concentration + volume. Enters with the momentum. Replaces the v1.1 whale-mirroring scanner (406 trades, -24.2% ROI, stale position data).
ORCA v1.1 — Hardened dual-mode emerging movers scanner. Every lesson from 5+ days of live trading across 22 agents baked into the code. v1.1 adds the DSL state template directly in scanner output — eliminating the dsl-profile.json override bugs that broke Fox, Grizzly, Jackal, and every Wolf-based agent. XYZ equities banned at scan level. Leverage 7-10x enforced. Stagnation TP mandatory. 10% daily loss limit. 2-hour per-asset cooldown. Conviction-scaled Phase 1 timing per-signal. The agent cannot override any of these — they are in the scanner, not instructions.
Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation