Loading...
Loading...
Found 9,278 Skills
Expert skill for OmniVoice, a massively multilingual zero-shot TTS model supporting 600+ languages with voice cloning and voice design capabilities.
Apply behavioral psychology and cognitive biases to marketing for conversion optimization, pricing strategy, copy improvement, and campaign design. Includes 70+ mental models organized by application, diagnostic frameworks for identifying behavioral barriers, and implementation guides with before/after examples. Use when applying psychology to marketing, optimizing conversions, improving pricing pages, or when user mentions psychology, cognitive bias, persuasion, behavioral science, mental models, why people buy, decision-making, consumer behavior, or neuromarketing.
Alibaba Cloud APIG Migration Skill. Migrate Kubernetes nginx Ingress resources to Alibaba Cloud API Gateway (APIG, ingressClass: apig). Users provide Ingress YAML (paste, file, or directory) — no cluster access required for analysis. Covers annotation compatibility classification, Higress native mapping, built-in plugin selection, custom WasmPlugin development, migrated Ingress YAML generation, and migration report with deployment guide. Triggers: "nginx ingress migration", "APIG compatibility", "gateway migration", "ingress-nginx to APIG", "nginx迁移", "网关迁移", "Ingress兼容性分析", "APIG迁移", "迁移评估", "annotation兼容性", "WasmPlugin开发".
Opinionated modern Java (21+) coding best practices, style guides, and anti-patterns. Curated by VirtusLab engineers. Covers code style, null safety, error handling, immutability, testing, concurrency, and tooling.
Build search applications and query log analytics data with OpenSearch. Use this skill when the user mentions OpenSearch, search app, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic search, RAG, embeddings, KNN, PDF ingestion, document processing, or any related search topic. Also use for log analytics and observability — when the user wants to set up log ingestion, query logs with PPL, analyze error patterns, set up index lifecycle policies, investigate traces, or check stack health. Activate even if the user says log analysis, Fluent Bit, Fluentd, Logstash, syslog, traceId, OpenTelemetry, or log analytics without mentioning OpenSearch.
When the user wants help with Google Ads keyword research, keyword strategy, match types, search term analysis, keyword planning, keyword organization, or keyword audits. Triggers on 'keyword research', 'keyword strategy', 'match types', 'search terms', 'keyword planner', 'keyword audit', 'broad match', 'phrase match', 'exact match', 'keyword expansion', or 'keyword list'. For deep negative keyword optimization, wasted spend elimination, or cannibalization prevention see google-ads-negative-keywords. For building search campaigns see google-ads-search. For bid management on keywords see google-ads-bidding.
Provides before/after patterns for migrating test files to React 19 compatibility, including act() imports, Simulate removal, and StrictMode call count changes.
Use this skill whenever the user wants to build scroll animations, scroll effects, parallax, scroll-triggered reveals, pinned sections, horizontal scroll, text animations, or any motion tied to scroll position — in vanilla JS, React, or Next.js. Covers GSAP ScrollTrigger (pinning, scrubbing, snapping, timelines, horizontal scroll, ScrollSmoother, matchMedia) and Framer Motion / Motion v12 (useScroll, useTransform, useSpring, whileInView, variants). Use this skill even if the user just says "animate on scroll", "fade in as I scroll", "make it scroll like Apple", "parallax effect", "sticky section", "scroll progress bar", or "entrance animation". Also triggers for Copilot prompt patterns for GSAP or Framer Motion code generation. Pairs with the premium-frontend-ui skill for creative philosophy and design-level polish.
Use when designing APIs, Architecture, Security, or Scalability for Node, Python, Go, or Java backend systems.
Apply when implementing retry logic, rate limit handling, or resilience patterns in VTEX API integrations. Covers VTEX rate limit headers (X-RateLimit-Remaining, X-RateLimit-Reset, Retry-After), 429 status handling, exponential backoff with jitter, circuit breaker patterns, and request queuing. Use for any VTEX marketplace integration that must gracefully handle API throttling and maintain high availability.
Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA), and read with structured analysis (3-level strategy). Use when: finding papers, reading a paper, related work, citation analysis, research trends, SOTA results, datasets. Do NOT use for generating literature survey reports (use research-survey), generating research ideas (use research-ideation), writing a paper's Related Work section (use paper-writing), comparing/ranking research ideas (use research-ideation), or planning paper structure (use paper-planning).
Use this skill whenever deciding what features to extract from raw marketplace assets — listing photos, owner-entered listing metadata, sitter wizard responses — to power item-to-item (similar listings), user-to-item (homefeed ranking), or user-to-user (mutual-fit matching) recommenders in a two-sided trust marketplace. Covers asset auditing, first-principles feature decomposition from the decision the user is making, vision-feature extraction (CLIP, room-type classification, amenity detection, aesthetic and quality scoring), listing text and metadata encoding (categoricals, multi-hot amenities, H3 geo-hashing, sentence-transformer description embeddings, structured pet triples), sitter wizard design (information-gain ordering, multiple-choice over free text, genuine skippability, hard constraint versus soft preference), derived-composition patterns for i2i / u2i / u2u (precomputed ANN shelves, multi-modal fusion, two-tower affinity, symmetric mutual-fit scoring, interpretable subscores), feature quality governance (single registry, training-serving parity, coverage and drift alarms, PII scrubbing, schema versioning), and incremental value proof (one feature at a time, ablation A/B, kill reviews, exploration slice, permanent feature-free baseline). Trigger even when the user does not explicitly say "feature engineering" but is asking how to get more signal out of listing photos, listing metadata, or the sitter onboarding wizard, or how to improve i2i / u2i / u2u quality without blindly ingesting a new model.