Agent Skills › Superior-Trade/superior-skills › intelligence

intelligence

GitHub

用于查询Hyperliquid及HIP-3市场的实时Alpha扫描，支持多策略评分与单币分析。自动识别最佳时间框架，提供挤仓、隐蔽吸筹等信号，并指导从扫描到部署的完整工作流。

skills/v2/primitives/intelligence/SKILL.md Superior-Trade/superior-skills

Trigger Scenarios

询问热门交易机会或市场动态请求特定资产的技术面或资金面分析寻找符合特定策略（如挤仓、弹簧效应）的交易标的

Install

npx skills add Superior-Trade/superior-skills --skill intelligence -g -y

More Options

Non-standard path

npx skills add https://github.com/Superior-Trade/superior-skills/tree/main/skills/v2/primitives/intelligence -g -y

Use without installing

npx skills use Superior-Trade/superior-skills@intelligence

指定 Agent (Claude Code)

npx skills add Superior-Trade/superior-skills --skill intelligence -a claude-code -g -y

安装 repo 全部 skill

npx skills add Superior-Trade/superior-skills --all -g -y

预览 repo 内 skill

npx skills add Superior-Trade/superior-skills --list

SKILL.md

Frontmatter

{
    "name": "intelligence",
    "updated": 1778284800,
    "version": "0.1.0",
    "description": "Use when the user asks \"what's hot\", \"what's moving\", \"any alpha\", \"show me squeeze setups\", \"what's the setup on ETH\", \"is SOL coiled\", \"should I deploy NEAR\" or any market-scan \/ single-pair-drilldown question. Surfaces Superior Trade's live multi-bucket scoring across Hyperliquid alts + HIP-3 (stocks\/indices\/commodities\/FX) — Squeeze fuel, Stealth accumulation, Coiled spring, Basis flipping. The engine picks the strongest timeframe (15m\/1h\/4h\/24h) per pair per bucket; you don't pick one. Pairs in to the existing strategy → backtest → deployment workflow at api.superior.trade."
}

Intelligence

Live ranked alpha scan over Hyperliquid alts + HIP-3 markets. Returns the same data the Intelligence page at https://account.superior.trade/intelligence renders — bucket fits, per-pair best timeframes, snapshots, and recommended deploy templates.

Files in this skill

File	What it covers
`references/buckets.md`	The 4 buckets: Squeeze fuel, Stealth accumulation, Coiled spring, Basis flipping. Setup / Edge / Scoring + AI Critic concerns per bucket. Read this before presenting any scan output to the user.
`references/api.md`	The two endpoints: `GET /v2/intelligence/scan` (list mode) and `GET /v2/intelligence/setup/{pair}` (single-pair detail). Response schemas + examples.
`references/workflow.md`	Recommended end-to-end recipes: scan → pick → setup → backtest → deploy. How to translate a `best_fit` tuple into a `/v2/backtesting` call.
`references/glossary.md`	Plain-English definitions for the trading terms in scan responses (funding, OI, basis, fees-paid notional, OI turnover, CVD, etc.). Reference this when explaining results to a non-trader.

When to call which endpoint

List question ("what's hot", "any squeeze setups", "show me coiled springs in HIP-3") → GET /v2/intelligence/scan with optional bucket and category filters.
Single-pair question ("tell me about ETH", "is NEAR a stealth setup", "should I deploy AVAX") → GET /v2/intelligence/setup/{pair}. Always do this BEFORE backtesting / deploying so the choice is grounded in current data.

Critical: do not improvise rankings

Both endpoints return live, ranked data. Never substitute a market scan from training data — prices are stale, the ranking framework is Superior's, and timeframes are picked by the engine. When presenting:

Lead with the specific best_fit.bucket_title @ best_fit.timeframe (score) tuple per pair.
Cite the snapshot fields that drove the score (e.g. for squeeze: pct_change_24h + funding_paid_notional_usd_per_yr).
Mention bucket_fits only if asked why another bucket wasn't picked.
Reference the AI Critic concerns from references/buckets.md before recommending a deploy.

Caveats

Majors (BTC / ETH / SOL) are excluded by design — this is for alt + HIP-3 alpha discovery. For majors, use the regular price/chart tools.
Pairs below $100K daily volume are filtered out as too thin for live deployment.
HIP-3 stocks (xyz:NVDA, xyz:AAPL, etc.) trade 24/7 but the underlying equities only trade during NYSE hours — see the US Market Closed warning in references/buckets.md § Stocks.
News sentiment is not part of the current scan. The buckets are price + positioning + flow; news comes from external context.