niveshdandyan

Deploy a full-stack multi-model Browser Agent system with FastAPI server, real-time dashboard, VNC streaming, and LLM Council mode. Use when the user asks to set up browser automation, build a browser agent, deploy an AI web agent, create a browser-use server, or needs multi-model browser automation with strategies like council, consensus, fallback chain, or planner-executor.

Master authentic Reddit content generator using emotion-first, phased architecture. Creates posts that sound genuinely human through cognitive state simulation, not just rule-following. Use when the user asks to write a Reddit post, create Reddit content, or needs help with Reddit engagement. Includes adversarial committee review, Claude-ism detection, and interactive refinement workflow.

Teammate Tool - File-based agent team coordination that replicates Claude Code's native TeammateTool. Creates teams with leaders and teammates, shared task lists with dependencies, file-based inboxes for inter-agent messaging, and parallel agent spawning. Works in any environment including sandboxes. Use when the user wants to create an agent team, coordinate multiple agents, run parallel reviews, build pipelines, or any multi-agent collaboration.

Parallel agent swarms with generational succession. Combines agent-architect's multi-agent parallelism with automatic succession when agents degrade. Each parallel agent gets fresh context through controlled handoffs while maintaining accumulated wisdom.

Meta-agent that designs and orchestrates optimal agent swarms to build complex projects. Analyzes requirements, determines agent count, defines responsibilities, launches parallel agents, monitors progress, and integrates outputs into final deliverable.

Factorized video generation pipeline based on arxiv:2512.16371. Decomposes text-to-video into three stages: (1) LLM reasoning to rewrite prompts into first-frame captions, (2) T2I composition to generate a high-quality anchor frame, (3) anchor-conditioned temporal synthesis for video generation. Achieves 41-53% quality improvement over direct T2V. Use when the user wants higher-quality AI video generation, wants to generate a video with better composition and spatial accuracy, asks for factorized or anchor-based video generation, wants to control the initial frame of a generated video, or mentions 'factorized video', 'anchor frame video', or 'better video generation'.

End-to-end AI video production pipeline. Generate complete vertical videos (Instagram Reels, TikTok, YouTube Shorts) from a text prompt. Combines AI video clip generation (Google Veo 3.1), neural text-to-speech (Piper TTS), synthesized background music, sound effects, and ffmpeg assembly. Use when the user asks to create a video, make a reel, produce a short, generate video content, make a meme video, create a promo video, or build any short-form vertical video.

Bio-inspired multi-model LLM Chimera Council. A 5-phase cognitive pipeline that treats AI models as specialized brain regions, runs split-brain deliberation, induces dream-state creative leaps, evolves responses through genetic breeding, and polishes with immune-system maturation. Modes: Quick (cortical only), Think (+ split-brain), Dream (+ dreaming), Evolve (+ evolution), Full Chimera (all 5 phases). Use when the user says: chimera council, start chimera, deep council, brain council, evolve an answer, dream council, full chimera, compare models deeply, or cortical council.

Multi-model LLM Council with live dashboard. Query multiple AI models simultaneously, see responses side-by-side in a swarm-style dashboard, synthesize consensus, and run anonymous model-to-model voting. Use when the user asks to start the LLM council, compare models, query multiple models, convene council, ask all models, do model comparison, run multi-model queries, or launch the council dashboard. Supports Claude Sonnet 4.5, Claude Opus 4.5, GPT-4o, GPT-5.1, Gemini 2.5 Flash, and Gemini 2.5 Pro via AI Gateway.

HappyCapy Design System - a capybara-inspired UI design language for building warm, organic, nature-themed interfaces. Use this skill whenever building any frontend UI, web page, dashboard, component, or application that should follow the HappyCapy visual identity. Triggers include: (1) building a new web UI, dashboard, or page with the HappyCapy/capybara theme, (2) styling or theming any HTML/CSS/JS project with the HappyCapy design language, (3) needing color palettes, typography, spacing, or component patterns from HappyCapy, (4) creating status indicators, cards, badges, progress bars, or layouts in the capybara style, (5) applying light/dark mode theming consistent with the HappyCapy aesthetic, (6) any request mentioning "happycapy design", "capybara design", "capybara theme", or "happycapy style".

Live real-time dashboard for monitoring AI agent swarms with smart completion detection, clickable agent detail views, idle time tracking, and activity streaming. Auto-launches a beautiful web UI with capybara-inspired colors.

Live real-time dashboard for monitoring AI agent swarms with smart completion detection, clickable agent detail views, idle time tracking, and activity streaming. Auto-launches a beautiful web UI. V6 features embedded HTML, line-by-line JSON parsing, and capybara-inspired colors.