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Found 3,448 Skills
Catalog of non-obvious behaviors, gotchas, and platform-specific quirks in MultiversX that often lead to bugs. Use when debugging unexpected behavior, reviewing code for subtle issues, or learning platform-specific pitfalls.
Expert sales operations and analytics guidance for revenue teams. Use when designing CRM workflows, building sales dashboards, optimizing pipeline analytics, creating lead routing rules, designing territories, calculating commissions, managing data quality, building forecasting models, or integrating sales tech stack. Covers Salesforce, HubSpot, Outreach, Gong, and RevOps best practices.
Calculate the 'Gross Margin Proxy for Gold/Silver Mining Industry' using public metal prices and mining cost metrics (AISC/All-in Cost/Cash Cost), and determine whether the current level is in the historical high/low range.
Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (better image analysis than Claude models, captioning, reasoning, object detection, design extraction, OCR, visual Q&A, segmentation, handle multiple images), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image with Imagen 4, editing, composition, refinement), generate videos (text-to-video with Veo 3, 8-second clips with native audio). Use when working with audio/video files, analyzing images or screenshots (instead of default vision capabilities of Claude, only fallback to Claude's vision capabilities if needed), processing PDF documents, extracting structured data from media, creating images/videos from text prompts, or implementing multimodal AI features. Supports Gemini 3/2.5, Imagen 4, and Veo 3 models with context windows up to 2M tokens.
Build MECE issue trees for complex business problems. Use when you need rigorous problem decomposition, branch prioritization, and a decision-ready analysis backlog.
Expert go-to-market strategist for SaaS applications. Use when planning GTM strategy, content strategy, social media strategy, personal brand development, business brand positioning, or channel selection. Covers LinkedIn, X/Twitter, TikTok, YouTube, and multi-channel distribution. Use for launch planning, audience building, founder-led marketing, and growth strategy.
Azure AD OAuth2/OIDC SSO integration for Kubernetes applications. Use when implementing Single Sign-On, configuring Azure AD App Registrations, restricting access by groups, or integrating tools (DefectDojo, Grafana, ArgoCD, Harbor, SonarQube) with Azure AD authentication.
Production-grade Helm 4 chart development, release management, and debugging. This skill should be used when users ask to create Helm charts, deploy with Helm, manage releases (install/upgrade/rollback), push charts to OCI registries, debug failed deployments, configure chart dependencies, create umbrella charts, set up GitOps with ArgoCD/Flux, or troubleshoot Helm issues. Auto-detects from Dockerfile/code, generates production-hardened charts with library patterns. Complements kubernetes skill.
This skill should be used when configuring Supabase Auth for server-side rendering with Next.js App Router, including secure cookie handling, middleware protection, route guards, authentication utilities, and logout flow. Apply when setting up SSR auth, adding protected routes, implementing middleware authentication, configuring secure sessions, or building login/logout flows with Supabase.
Generate pedagogically-aligned slide decks from educational content using NotebookLM. Use when creating chapter slide presentations with proficiency-calibrated prompts. NOT for static slides or non-educational presentations.
See exactly what your AI did on a specific request. Use when you need to debug a wrong answer, trace a specific AI request, profile slow AI pipelines, find which step failed, inspect LM calls, view token usage per request, build audit trails, or understand why a customer got a bad response. Covers DSPy inspection, per-step tracing, OpenTelemetry instrumentation, and trace viewer setup.
Generate synthetic training data when you don't have enough real examples. Use when you're starting from scratch with no data, need a proof of concept fast, have too few examples for optimization, can't use real customer data for privacy or compliance, need to fill gaps in edge cases, have unbalanced categories, added new categories, or changed your schema. Covers DSPy synthetic data generation, quality filtering, and bootstrapping from zero.