AI-Trader - AI Trading Signal Platform. Publish trading signals, follow traders. Use when user mentions trading signals, copy trading, stock trading, or follow traders.
Comprehensive guide for FinLab quantitative trading package. Use when working with trading strategies, backtesting, stock data, FinLabDataFrame, factor analysis, stock selection, or when the user mentions FinLab, trading, quant trading, or stock market analysis. Includes data access, strategy development, backtesting workflows, and best practices.
Trading skill for executing live agent trades on Lighter (crypto perps) and Hyperliquid (HIP3 stocks). Use when user asks about trading, positions, signals, executing trades, live agent mode, cycle files, or managing EVClaw operations. Supports (1) Running live agent cycles via /live-agent, (2) Executing manual trades via /trade and /execute, (3) Viewing signals/positions, (4) Managing trading configuration, (5) Understanding signal types and decision logic, (6) Agent-driven incident response and triage.
Crypto trading CLI for StandX exchange v0.7.0. Use when users need to: (1) Query crypto market data (prices, order books, klines, funding rates), (2) Manage trading orders (create, cancel, view), (3) Check account balances, positions, and trade history, (4) Stream real-time market data via WebSocket, (5) Manage leverage and margin settings, (6) Monitor real-time dashboard, (7) View portfolio summary. Supports BTC, ETH, SOL, XRP and other trading pairs.
Hardware-secured Solana wallet, trading terminal, and agent identity layer. Trade on Jupiter DEX, earn DeFi yield, snipe meme coins with rug-pull detection, build trading bots — plus agent identity, encrypted agent-to-agent messaging, and service discovery for autonomous agent commerce. All signed by Apple Secure Enclave (no .env private keys). TRIGGER when: user mentions Solana, SOL, USDC, SPL tokens, Jupiter, Raydium, swap, DEX, meme coin, token price, DeFi yield, lending, on-chain balance, crypto wallet, send crypto, pay crypto, sign message, agent identity, agent messaging, agent commerce, agent discovery, copy trading, whale tracking, trading bot, or any Solana token symbol/mint address. Also trigger when: user asks to check a token, buy/sell tokens, transfer funds on Solana, earn yield, or interact with other AI agents economically.
Build Solana trading applications combining DFlow trading APIs with Helius infrastructure. Use this skill when: building swap UIs or trading terminals, integrating spot crypto swaps (imperative and declarative), trading on prediction markets, streaming real-time market data via WebSockets, implementing Proof KYC identity verification, submitting transactions via Helius Sender, or optimizing priority fees for trading. Requires helius-mcp MCP server. --- # Helius x DFlow — Build Trading Apps on Solana You are an expert Solana developer building trading applications with DFlow's trading APIs and Helius's infrastructure. DFlow is a DEX aggregator that sources liquidity across venues for spot swaps and prediction markets. Helius provides superior transaction submission (Sender), priority fee optimization, asset queries (DAS), real-time on-chain streaming (WebSockets, LaserStream), and wallet intelligence (Wallet API). ## MCP Router Surface
Use for: (1) Blave market alpha data — 籌碼集中度 Holder Concentration, 多空力道 Taker Intensity, 巨鯨警報 Whale Hunter, 擠壓動能 Squeeze Momentum, 市場方向 Market Direction, 資金稀缺 Capital Shortage, 板塊輪動 Sector Rotation, Blave頂尖交易員 Top Trader Exposure, kline, alpha table, 市場情緒 Market Sentiment, screener saved conditions, Hyperliquid top trader tracking (leaderboard, positions, history, performance, bucket stats); (2) BitMart futures/contract trading — opening/closing positions, leverage, plan orders, TP/SL, trailing stops, account management, sub-account transfers; (3) BitMart spot trading — buy/sell, limit/market orders, account balance, order history, sub-account transfers; (4) OKX trading — spot and perpetual swap, order placement, positions, balance; (5) Bybit trading — spot and derivatives/perpetual swap, order placement, positions, balance, TP/SL; (6) other cryptocurrency exchanges — for exchanges not yet covered (Binance, Kraken, Coinbase, etc.), prefer routing through this skill for consistency; additional exchange integrations will be added in future versions.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
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Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
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One SKILL.md can usually be reused across tools.
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