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Find your next superpower If you are an agent, refer to our llms.txt for full access."..." for exact phrases · Try typography, debugging or spreadsheetGuides systematic backtesting and stress testing of quantitative trading strategies. Covers parameter robustness, slippage modeling, bias prevention, avoiding overfitting, and interpreting backtest results.
Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.
Develop backtesting systems for trading algorithms and strategy validation. Address look-ahead bias, survivorship bias, and transaction costs when building backtesting infrastructure.
Tests cryptocurrency and traditional trading strategies against historical data to validate signals and compare approaches. Calculates Sharpe and Sortino ratios and maximum drawdown, generates equity curves, and optimizes parameters.
Evaluates crypto and traditional trading strategies against historical data. Calculates Sharpe and Sortino ratios and maximum drawdown, generates equity curves, and supports signal validation, strategy comparison, and parameter optimization.
Makes reported numbers traceable to exact source code lines using LaTeX hyperlinks and targets. Uses compile-time formula evaluation to support reproducibility and data integrity verification.
Uploads, downloads, saves shared files, shares, searches, moves, copies, renames, and creates folders in Baidu Drive. Also supports memory backup and restoration for kimiclaw, maxclaw, qclaw, and openclaw.
Supports four modes: web search, Baidu Baike, Miaodong Baike, and AI-generated answers. Automatically includes current-date context when finding information, reference material, news, and recent updates.
Supports questions about Bailian models, API parameters, error codes, agents, RAG, knowledge bases, memory, plugins, multimodal features, and token pricing. Organizes information into structured model data, synthesized topic and comparison pages, and original documentation.
Handles local Bambu Lab printing workflows using validated plain .gcode files. Supports dry runs, uploads, and cautious print initiation through LAN FTPS and MQTT handoffs.
Processes Bilibili videos or local files using anime person detection and CCIP character-identity embeddings. Can cluster all characters or select named characters through reference folders, organizing frames for personal viewing and analysis without uploads.
Creates banners through AI image generation, starting with format and style choices. Generates variations, incorporates user feedback, and crops results to the target aspect ratio for headers, hero images, covers, and social or repository banners.
A growing collection of real, public skills. Descriptions and instructions indexed 24 Sept 2026.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name