madebyaris

Update specifications with discoveries made during development. Use when implementation reveals new requirements, constraints, or design changes.

Generate technical plans from specifications. Use when creating architecture documents, designing system components, or preparing for implementation.

Pattern investigation and technical research before specification. Use when technical approach is unclear, exploring existing solutions, or analyzing codebase patterns. Supports deep research mode for thorough external investigation.

Compare implementation against specifications, identify gaps and issues. Use for code review, quality assurance, and verifying spec compliance.

Execute planned implementations following todo-lists systematically. Use for code generation, building features, and executing SDD plans.

Build distinctive, performant, production-grade 3D on the web with Three.js, React Three Fiber, and WebGL. Use when the user asks to "build a 3D scene", "add a 3D hero/landing", "make a product viewer/configurator", mentions three.js / react-three-fiber / r3f / drei / webgl / shaders, or asks to make an existing 3D scene "look good", run smoothly, or work on mobile. Covers aesthetic direction (anti-slop for 3D), lighting/material/post-processing, performance budgets, responsive WebGL, graceful degradation, and accessibility.

Conducts multi-step deep research on any topic using iterative search, reflection, and synthesis. Use when the user asks to research, investigate, survey, compare, analyze, deep-dive, or explore a topic in depth. Covers web research, codebase analysis, documentation review, and mixed-source investigation.

Category-aware design skill that builds distinctive, production-grade UIs. Palettes, font pairings, UX patterns, shadcn/token integration, empty-error-loading copy, secondary slop signals, and a pre-ship second pass. Framework-agnostic.

Production-style incident triage workflow for logs, metrics, code, and safe mitigations. Use when debugging alerts, regressions, outages, or suspicious runtime behavior.

MiniMax-native multimodal workflow for image, video, voice, music, and media-processing tasks. Use when the user asks to generate image/video/audio assets, wants MiniMax-specific media APIs, needs TTS or voice workflows, wants reproducible local media outputs, or needs FFmpeg-style processing around generated media.

Spawn effective OpenClaw sub-agents — clear briefs, isolated vs fork context, no polling loops, cheaper models for workers.

End-to-end software work—read codebase, implement, test, and summarize changes like a senior engineer.

UX/UI feedback and copy tuned for clarity, accessibility, and consistency—without redesigning everything unprompted.

Lawful, ethical open-source intelligence on public data only—no stalking, no bypassing access controls, no invasive targeting.

Rigorous public research using web search, fetch, and source triangulation. Use for technical docs, competitors, and fact-checking.

Guides the agent to build distinctive, production-grade UIs avoiding generic "AI slop" aesthetics. Enforces a pre-coding design thinking phase, bold aesthetic variety, strict hierarchy, real icons/imagery, responsive design across desktop/mobile. Framework-agnostic.

Conducts multi-step deep research on any topic using iterative search, reflection, and synthesis. Use when the user asks to research, investigate, survey, compare, analyze, deep-dive, or explore a topic in depth. Covers web research, codebase analysis, documentation review, and mixed-source investigation.