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Found 1,754 Skills
Research libraries, APIs, and patterns using searchGitHub and Exa tools. Finds real-world implementations and saves structured reports to docs/research/. Use when investigating technologies, debugging issues, or comparing options.
Conducts systematic root cause analysis using proven methodologies including Toyota's 5 Whys, Ishikawa fishbone diagrams, Pareto analysis, and fault tree analysis. Use when investigating bugs, debugging code, troubleshooting systems, diagnosing equipment failures, analyzing life problems, or identifying underlying causes of any issue across software engineering, hardware maintenance, process failures, or personal challenges.
Use btca (Better Context App) to efficiently query and learn from the bknd backend framework. Use when working with bknd for (1) Understanding data module and schema definitions, (2) Implementing authentication and authorization, (3) Setting up media file handling, (4) Configuring adapters (Node, Cloudflare, etc.), (5) Learning from bknd source code and examples, (6) Debugging bknd-specific issues
Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.
Comprehensive GameMaker Studio 2 and GML expertise covering beginner to advanced topics. Provides guidance on object creation, GML syntax, event systems, data structures, file I/O, shaders, networking, platform-specific features, performance optimization, and debugging. Automatically invoked when working with .gml files, .yy files, .yyp projects, or GameMaker-related tasks. References official manual (manual.gamemaker.io) for authoritative documentation.
Use when implementing end-to-end tests, using Playwright or Cypress, testing user journeys, debugging flaky tests, or asking about "E2E testing", "Playwright", "Cypress", "browser testing", "visual regression", "test automation"
Write Playwright tests for Hyvä themes with Alpine.js components. This skill should be used when writing e2e tests, creating page objects, or debugging selector issues in Playwright tests for Hyvä Magento storefronts. Trigger phrases include "write playwright test", "playwright alpine", "test hyva page", "e2e test", "playwright selector".
ActivityPub protocol specification and federation concepts. Use when working with ActivityPub activities, understanding federation mechanics, implementing protocol features, or debugging federation issues.
This skill provides expert-level guidance for implementing VS Code WebView features. Use when creating WebView panels, implementing secure CSP policies, handling Extension-WebView communication, managing WebView state persistence, optimizing WebView performance, or debugging WebView rendering issues. Covers security best practices, message protocols, and VS Code-specific WebView patterns.
NautilusTrader algorithmic trading platform reference. NautilusTrader 量化交易框架参考。 Use this skill when: - Working with NautilusTrader API (使用 NautilusTrader API) - Implementing trading strategies (实现交易策略) - Running backtests (运行回测) - Configuring data feeds and adapters (配置数据源和适配器) - Debugging NautilusTrader code (调试 NautilusTrader 代码) - Understanding trading concepts like positions, orders, and fills (理解持仓、订单、成交等概念) Keywords: NautilusTrader, strategy, backtest, trading, adapter, Binance, quantitative, 量化, 策略, 回测
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
Data validation and pipeline testing utilities for ML training projects. Validates datasets, model checkpoints, training pipelines, and dependencies. Use when validating training data, checking model outputs, testing ML pipelines, verifying dependencies, debugging training failures, or ensuring data quality before training.