Use when debugging LLM apps with Phoenix CLI: traces, errors, experiments.

Daily Meta ad operations via Marketing API — competitor research via Ad Library, check performance, kill losers, promote winners, generate 6 fresh creatives via Nano Banana Pro + gpt-image-2 + Higgsfield MCP, upload as new ads, and report to Signal. Runs as cron at 2am ET.

Train a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation. Use when: "create my Soul", "train my face", "make my digital twin", "build me an avatar", "learn my appearance", "create a character of me", "set up identity for video", "I want my face in generated images". Chain: train Soul (one-time, returns reference_id) → use in higgsfield-generate via `--soul-id <id>` with models like `text2image_soul_v2` or `soul_cinema_studio`. NOT for: one-shot face swaps (use higgsfield-generate with --image), named-character / non-photo avatars (use higgsfield-generate with prompt).

Generate images/videos via Higgsfield AI. Models: GPT Image 2, Nano Banana 2/Pro, Soul V2/Cinema/Cast/Location, Seedance 2.0, Veo 3.1, Kling 3.0, Flux 2, Z Image, Hailuo; plus Marketing Studio ads with avatars/products/hooks/settings. Use when: "generate an image", "make a picture", "make a video", "animate this photo", "image-to-video", "edit/stylize/remix this image", "produce a clip", "create an ad", "make a UGC video", "product demo", "unboxing", "TV spot", "brand video", "presenter video", "import product from URL", "create avatar for ad". Supports text-to-image, image-to-image, image-to-video, reference-based generation, and Marketing Studio. Auto-detects upload IDs vs previous job IDs. Chain with higgsfield-soul-id when the user wants face/identity consistency. NOT for: training Soul Character (use higgsfield-soul-id), product photoshoots (use higgsfield-product-photoshoot), marketplace listing cards (use higgsfield-marketplace-cards), text/chat/TTS tasks.

Query Google Search Console data via MCP (mcporter). Use when checking search performance, impressions, clicks, CTR, rankings for $APP_DOMAIN or any verified property. Also use for finding SEO quick wins, checking indexing status, or managing sitemaps.

Search the web or X/Twitter using xAI Grok server-side tools (web_search, x_search) via the xAI Responses API. Use when you need tweets/threads/users from X, want Grok as an alternative to Brave, or you need structured JSON + citations.

Use when managing Google Ads campaigns: performance checks, keyword pausing, report downloads, or campaign optimization via browser or API.

Scrape, crawl, search, and interact with web pages using Firecrawl CLI and API. Use when the user mentions "firecrawl", "scrape a website", "crawl a site", "map a site", "web scraping", "extract web data", "interact with a page", or needs richer web extraction than WebExtract (JS-rendered pages, full site crawls, sitemaps, form interaction, login-required pages).

Use when doing keyword research (volume, difficulty, ideas), checking App Store or Google Play rankings for Bloom or competitors, or looking up Google SERP rankings for content/landing pages. Also use when building ASO keyword lists or finding App Store competitors.

Use when querying Copilot Money for finances, transactions, net worth, and holdings.

Read X/Twitter timelines, tweets, and threads using the bird CLI (cookie-based GraphQL). Use when the user mentions "bird", wants to read their Following/For You timeline, fetch tweets, search X, or pull timeline data for summarization. Prefer over xitter (x-cli) for read-heavy workflows — bird uses browser cookies (zero API cost) while x-cli uses the paid official API.

Create, optimize, and scale Apple Search Ads campaigns with API automation, attribution integration, and bid strategy recommendations.

Use when querying Appfigures for app store analytics (downloads, revenue, reviews, rankings).

Create die-cut sticker style cards via Nano Banana Pro. Use for social media cards, earnings cards, brand stickers, announcement cards, and any content formatted as a bold, clean sticker with a thick white border.

Use when writing or reviewing Remotion code — compositions, animations, captions, audio, charts, 3D, fonts, transitions, or any React-based video creation. Trigger phrases: Remotion, video in React, composition, useCurrentFrame, interpolate.

Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.

One-time setup that gathers design context for your project and saves it to your AI config file. Run once to establish persistent design guidelines.

Tones down visually aggressive or overstimulating designs, reducing intensity while preserving quality. Use when the user mentions too bold, too loud, overwhelming, aggressive, garish, or wants a calmer, more refined aesthetic.

Performs a final quality pass fixing alignment, spacing, consistency, and micro-detail issues before shipping. Use when the user mentions polish, finishing touches, pre-launch review, something looks off, or wants to go from good to great.

Pushes interfaces past conventional limits with technically ambitious implementations — shaders, spring physics, scroll-driven reveals, 60fps animations. Use when the user wants to wow, impress, go all-out, or make something that feels extraordinary.

Diagnoses and fixes UI performance across loading speed, rendering, animations, images, and bundle size. Use when the user mentions slow, laggy, janky, performance, bundle size, load time, or wants a faster, smoother experience.

Designs and improves onboarding flows, empty states, and first-run experiences to help users reach value quickly. Use when the user mentions onboarding, first-time users, empty states, activation, getting started, or new user flows.

Audits and realigns UI to match design system standards, spacing, tokens, and patterns. Use when the user mentions consistency, design drift, mismatched styles, tokens, or wants to bring a feature back in line with the system.

Improve interface resilience through better error handling, i18n support, text overflow handling, and edge case management. Makes interfaces robust and production-ready. Use when the user asks to harden, make production-ready, handle edge cases, add error states, or fix overflow and i18n issues.