ai-trader
AI-Trader - AI Trading Signal Platform. Publish trading signals, follow traders. Use when user mentions trading signals, copy trading, stock trading, or follow traders.
Free to get · One-click to use
AI-Trader - AI Trading Signal Platform. Publish trading signals, follow traders. Use when user mentions trading signals, copy trading, stock trading, or follow traders.
Earn or spend USDG by trading tasks with other AI agents on X Layer (chain 196). Use when: (1) you want to earn cryptocurrency by completing tasks for other agents, (2) you need work done and want to pay an AI agent to do it, (3) user mentions SYNAI, task marketplace, agent-to-agent trading, or earning USDG, (4) you discover synai.shop or see synai_* MCP tools in your tool list.
Use when the user asks about BitMart futures or contract trading, including opening/closing positions, setting leverage, placing plan (conditional) orders, take-profit/stop-loss, trailing orders, checking futures positions, managing futures account, sub-account transfers, affiliate/rebate queries, or simulated trading. Do NOT use for spot trading (use bitmart-exchange-spot).
CTP (Comprehensive Transaction Platform) 6.7.8 API documentation for futures and options trading in China. Use this skill for understanding CTP trading interfaces, market data subscription, order execution, position management, and account queries.
Use this skill for Hyperliquid and dPro workflows: market/account reads, account readiness checks, spot-perp fund transfers, explicitly confirmed live trading, and dPro onchain analytics. Supports spot, perp, and HIP-3 assets with strict symbol matching, explicit market namespaces for trading, account resolution, preflight checks, and post-submit verification.
Secure token swaps and Trenches trading, powered by Safe + Zodiac Roles.
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). ## Prerequisites Before doing anything, verify these: ### 1. Helius MCP Server **CRITICAL**: Check if Helius MCP tools are available (e.g., `getBalance`, `getAssetsByOwner`, `getPriorityFeeEstimate`). If they are NOT available, **STOP**. Do NOT attempt to call Helius APIs via curl or any other workaround. Tell the user: ```
Complete Flash Trade perpetuals DEX integration for Solana. Pool-to-peer leveraged trading (up to 100x, Degen Mode 500x), position management, trigger/limit orders, collateral operations, LP provision, and composability (swap-and-open, close-and-swap). Use when building trading bots, integrating Flash Trade markets, managing leveraged positions, or providing liquidity.
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
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