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Found 3,180 Skills
Creates 4 core project docs (requirements.md, architecture.md, tech_stack.md, patterns_catalog.md). L3 Worker invoked by ln-110-project-docs-coordinator. ALWAYS created.
L3 Worker. Audits layer boundaries + cross-layer consistency: I/O violations, transaction boundaries (commit ownership), session ownership (DI vs local), async consistency (sync I/O in async), fire-and-forget tasks.
Build accessible UIs with semantic HTML, ARIA attributes, keyboard navigation, color contrast, and screen reader support. Apply when creating or modifying frontend components, forms, interactive elements, or any UI that needs WCAG compliance.
Find technical debt patterns in codebases. Use when asked to find duplicated code, inconsistent patterns, or refactoring opportunities.
Comprehensive cryptography guidance covering encryption algorithms, password hashing, TLS configuration, key management, and post-quantum considerations. Use when implementing encryption, choosing hashing algorithms, configuring TLS/SSL, managing cryptographic keys, or reviewing cryptographic implementations.
Risk-Based Value audit worker (L3). Calculates Usefulness Score = Impact (1-5) × Probability (1-5) for each test. Returns KEEP/REVIEW/REMOVE decisions based on thresholds (≥15 KEEP, 10-14 REVIEW, <10 REMOVE).
Manual testing workflow for Claude HUD to verify core functionality. Use when asked to "test the app", "verify the app works", "run manual tests", "test after changes", or after implementing significant features. Performs full reset, launches app, and guides through verification checklist.
Assists users with updating Tauri dependencies including the Tauri CLI, Rust crates, JavaScript packages, and checking for outdated versions to upgrade to the latest version.
Explains the Tauri process model architecture including the Core process, WebView process, inter-process communication, multiwindow handling, and process isolation security patterns.
Helps users debug Tauri v2 applications across VS Code, RustRover, IntelliJ, and Neovim. Covers console debugging, WebView DevTools, Rust backtrace, CrabNebula DevTools integration, and IDE-specific launch configurations.
将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求，生成符合 OpenAI/Google Deep Research 标准的结构化提示词，完全替代 ChatGPT 的问题细化功能。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。
Senior/Lead Developer Bun.js + Docker dengan pengalaman 20 tahun. Skill ini digunakan ketika: (1) Membuat project Bun.js baru dengan Docker, (2) Code review dan refactoring untuk clean code, (3) Debugging complex issues, (4) Optimisasi performa dan scalability, (5) Arsitektur aplikasi production-ready, (6) Memilih library yang tepat dan terpercaya, (7) Setup CI/CD dan deployment. Trigger keywords: "bun", "bunjs", "bun.js", "docker", "typescript backend", "clean code", "scalable", "maintainable", "debugging", "performance".