Total 46,484 skills
Showing 12 of 46484 skills
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
Send short status descriptions in chat for long-running tasks. Use when you need to provide periodic updates during multi-step operations, confirm task completion, or notify of failures. Includes automated periodic monitoring that sends updates every 5 seconds, status message templates, and a helper function for consistent status reporting.
Search for tokens, wallets, or entities by name or address. Use when you have a token name and need the full address, or want to find an entity.
Wallet profiler — balance, PnL, labels, transactions, counterparties, related wallets, batch, trace, compare. Use when analysing a specific wallet address or comparing wallets.
Token analytics — screener, indicators, OHLCV, holders, flows, PnL, DEX trades, flow intelligence. Use when researching a specific token, checking smart money holders, or screening trending tokens.
Create Trae IDE rules (.trae/rules/*.md) for AI behavior constraints. Use when user wants to: create a project rule, set up code style guidelines, enforce naming conventions, make AI always do X, customize AI behavior for specific files, configure AI coding standards, or establish project-specific AI guidelines. Triggers on: 'create rule', '创建 rule', 'project rule', '.trae/rules/', 'AGENTS.md', 'CLAUDE.md', 'set up coding rules', 'make AI always use PascalCase', 'enforce naming convention', 'configure AI behavior'. Do NOT use for skills (use trae-skill-writer) or agents (use trae-agent-writer).
Set up the Python environment for OpenAlgo indicator analysis. Installs openalgo, plotly, dash, streamlit, numba, yfinance, matplotlib, seaborn, and creates the project folder structure.
Set up real-time indicator computation on live WebSocket market data. Streams LTP/Quote/Depth and computes indicators in real-time with optional Plotly live charting.
Convert text into speech with Kokoro or Noiz, including simple and timeline-aligned modes.
Build a web dashboard for technical indicator analysis using Plotly Dash or Streamlit. Supports single-symbol, multi-symbol, and multi-timeframe layouts with real-time refresh.
Execute, validate, and debug Midscene YAML automation files. Handles dry-run, execution, report analysis, and iterative debugging.
Find Cross-Exchange Market Making (XEMM) opportunities by comparing order book depth and liquidity across exchanges. Identifies pairs where one exchange has thin liquidity (ideal for quoting) and another has deep liquidity (ideal for hedging).