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Guidelines for writing effective tests in this project
Use beads (bd) for persistent task tracking in coding projects. A git-backed issue tracker designed for AI agents with dependency graphs, hierarchical tasks, and multi-agent coordination.
Build with @vuetify/v0 headless composables and components for Vue 3. Use when creating selection state (single, multi, grouped, stepped), form validation, tab/dialog/popover UI, provide/inject context, registries, virtual scrolling, pagination, keyboard shortcuts, resize observers, theming, breakpoints, or SSR-safe browser detection. Triggers on v0, vuetify0, headless components, or WAI-ARIA patterns.
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.1 AA compliance.
Bypass a Coraza WAF protecting a vulnerable Next.js 16 backend. Analyze parser differentials between Go (WAF) and Node.js (backend) to find bypasses.
Senior Backend Architect for NestJS v11 (2026). Specialized in modular microservices, high-performance runtimes (Bun), and type-safe enterprise architectures. Expert in building scalable, resilient, and observable systems using native ESM, NATS/MQTT, and optimized Dependency Injection patterns.
Android APK decompiler that converts DEX bytecode to readable Java source code. Use when you need to decompile APK files, analyze app logic, search for vulnerabilities, find hardcoded credentials, or understand app behavior through readable source code.
Android APK unpacking and resource extraction tool for reverse engineering. Use when you need to decode APK files, extract resources, examine AndroidManifest.xml, analyze smali code, or repackage modified APKs.
Use when building, testing, linting, or running Go code in projects that have a Makefile. Prefer make targets over calling go commands directly.
Add knowledge bases and persistent memories to Tavus CVI personas. Use when uploading documents for RAG, enabling personas to reference PDFs/websites, persisting context across conversations, or building personas that remember users.
Track deep work sessions locally (start/stop/status) and generate a GitHub-contribution-graph style minutes-per-day heatmap for sharing (e.g., via Telegram). Use when the user says things like “start deep work”, “stop deep work”, “am I in a session?”, “show my deep work graph”, or asks to review deep work history.
Help teams continuously improve skills, automatically identify skill optimization opportunities (such as missing essential information, format issues, version update needs, etc.), execute secure update processes (backup, modification, testing, restoration), and ensure skill quality keeps improving as the project progresses