Total 59,371 skills
Showing 12 of 59371 skills
Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.
Generate Chinese body illustrations in Ian's style. It is used for tasks such as creating "weird", "Xiaohei", "hand-drawn", "body illustration", "article illustration", "illustration suggestion", "shot list", "remove title/modify image" requested by users for Chinese articles, posts, blogs, Notion documents, workflow documents, methodologies, processes, structures, states, metaphors or viewpoints; the default visual style adopts Xiaohei IP, pure white hand-drawn style, a small amount of red, orange and blue annotations, and a concise, fresh yet whimsical visual style.
Use after zanahoria-multi-assumptions has filed N parallel issue variants AND @coderabbitai has responded to all of them — closes the family by extracting the load-bearing assumption, naming a winner, capturing the decision as an ADR, and cleanly closing the rejected variants with cross-referenced reasoning. Triggers on close-the-family, pick-a-winner, commit-the-decision, decide-variants, after-CR-responds, zanahoria-decisions.
Refatore apps ou sites setoriais de qualquer tecnologia de origem para o padrão do repositório Elinsa. Use ao migrar projetos externos, legados, protótipos, HTML/CSS/JS puro, jQuery, Vue, Angular, React/Vite, PHP, Laravel, WordPress, templates server-side, sistemas de almoxarifado, formulários de pedidos ou ferramentas internas para Node 26+, pnpm, Next.js 16+ App Router, React Server Components, Tailwind 4+, Biome, shadcn/radix no preset Elinsa, React Hook Form, Zod, Better Auth e Drizzle ORM com PostgreSQL. Use também quando o projeto não tiver Git/versionamento, vier de ZIP/pasta local ou tiver sido criado em Lovable/no-code/AI builder: primeiro transforme em repositório GitHub revisável, depois migre para submissão à TI e futura integração como rotas, páginas, APIs ou componentes.
Production recipes for GSAP SVG animations. Companion to official gsap-plugins skill (API reference). Triggers: SVG animation, GSAP SVG, path drawing, strokeDashoffset, DrawSVG, drawSVG, SVG morph, MorphSVGPlugin, circuit tree, circuit board, CTAHud, HUD animation, pulse ring, scallop wave, SVG stagger, SVG fill, SVG stroke, SVG cleanup, feGaussianBlur, SVG glow, SVG blink, shape overlay, page transition, section transition, smooth morph, morph interpolation, dynamic morphing, SVG curtain, shape transition. Non-triggers: Not for text animation (use gsap-text), scroll reveals without SVG (use gsap-scroll), mouse interactions (use gsap-interact), or non-SVG visual effects (use gsap-vfx). Outcome: Produces SVG animations — path drawing, morphing, circuit board patterns, HUD systems, pulse rings, and scallop waves.
MUST be used when migrating a legacy Dune app to the new Flows app hosting infrastructure. Orchestrates the full migration: audits current state, updates app.json to appsApi infra, delegates auth wiring to setup-flows-auth, creates or updates manifest.json network permissions, and updates deploy scripts to @cognite/cli. Use this whenever a user says 'migrate to Flows', 'migrate to new infra', 'move from dune to flows', 'migrate legacy app', or wants to move their existing app to the new Flows app hosting.
Prepare for and respond to SEC and FINRA regulatory examinations across the full exam lifecycle. Use when the user asks about exam notification letters, document request lists, deficiency letter responses, mock examination programs, annual compliance reviews under Rule 206(4)-7, or SEC/FINRA examination priorities. Also trigger when users mention 'we just got an exam letter', 'preparing for our first SEC exam', 'how to respond to a deficiency finding', 'staff interview preparation', 'what does OCIE look for', 'examination readiness checklist', 'sweep exam on off-channel comms', or ask what to expect during a regulatory audit.
Self-improving browser automation via the auto-research loop. Iteratively runs a browsing task, reads the trace, and improves the navigation skill (strategy.md) until it reliably passes. Supports parallel runs across multiple tasks using sub-agents. Use when you want to build or improve browser automation skills for specific website tasks.
Generate a concise 4-5 page equity research earnings preview for a single company. Analyzes the most recent earnings transcript, competitor landscape, valuation, and recent news to produce a professional HTML report.
Analyze binaries using the Domain API for IDA Pro. Use when examining program structure, functions, disassembly, cross-references, or strings.
Guides AI ops leadership—LLM SRE, model/prompt releases, eval/incidents, cost/capacity, vendors, and cross-functional cadence. Use for AI platform ops, LLM SLAs, incidents, rollout governance, unit economics, red-team/eval gates, and team rituals—not memory (ai-memory-developer), context code (ai-context-engineer), security programs (cybersecurity), token roadmaps (ai-token-improvement-plan-engineer), solution architecture (applied-ai-architect-commercial-enterprise), skills portfolio (ai-skill-manager), or vertical AI product eng management (engineering-manager-vertical-ai-products). Prompt/eval team management and golden-set release policy: engineering-manager-agent-prompts-evals. Safeguard inference platform: ml-infrastructure-engineer-safeguards. Safeguard model research: ml-research-engineer-safeguards.
Build and operate predictive models for logistics networks—demand forecasting at SKU/location/lane granularity; inventory positioning and safety stock optimization interfaces; ETA and lead-time prediction; capacity and congestion signals; route and network flow forecasting at model-integration level; cold chain and perishables; promotion and seasonality; model monitoring, drift, and backtesting against operational KPIs (fill rate, OTIF, WMAPE/MAPE). Use for predictive logistics, demand forecasting logistics, ETA prediction, inventory positioning, safety stock optimization, OTIF forecast, lane demand, WMAPE, logistics ML, capacity forecasting logistics, or cold chain forecast—not pure OR/MIP without logistics domain (operations-research-algorithm-developer), supply chain strategy only (supply-chain-manager), WMS feature dev (wms-developer), fleet telematics ingestion (geospatial-telematics-developer), generic ML without logistics (data-scientist), or EDI document mapping (edi-engineer).