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Found 4,760 Skills
The full Resend API (100 endpoints across emails, broadcasts, audiences, contacts, domains, templates, webhooks)... Trigger phrases: `send an email with resend`, `check resend deliverability`, `list resend audiences`, `what did we send to <email>`, `use resend`, `run resend`.
Build sophisticated React animations with Motion (formerly Framer Motion) - declarative animations, gestures (drag, hover, tap), scroll effects, spring physics, layout animations, and SVG manipulation. Optimize bundle size with LazyMotion (4.6 KB) or useAnimate mini (2.3 KB). Use when: adding drag-and-drop interactions, creating scroll-triggered animations, implementing modal dialogs with transitions, building carousels with momentum, animating page/route transitions, creating parallax hero sections, implementing accordions with smooth expand/collapse, or optimizing animation bundle sizes. For simple list animations, use auto-animate skill instead (3.28 KB vs 34 KB). Troubleshoot: AnimatePresence exit not working, large list performance issues, Tailwind transition conflicts, Next.js "use client" errors, scrollable container layout issues, or Cloudflare Workers build errors (resolved Dec 2024).
Transform faces across ages using each::sense AI. Create age progressions, de-aging effects, baby-to-adult predictions, and aging simulations for entertainment, forensics, and visual effects.
Comprehensive computational validation of drug targets for early-stage drug discovery. Evaluates targets across 10 dimensions (disambiguation, disease association, druggability, chemical matter, clinical precedent, safety, pathway context, validation evidence, structural insights, validation roadmap) using 60+ ToolUniverse tools. Produces a quantitative Target Validation Score (0-100) with GO/NO-GO recommendation. Use when users ask about target validation, druggability assessment, target prioritization, or "is X a good drug target for Y?"
Calculate engagement rates for creator posts and benchmark them against platform and tier averages. This skill should be used when calculating an influencer's engagement rate, benchmarking creator engagement against industry averages, evaluating whether a creator's engagement is above or below average for their tier, comparing engagement rates across platforms, checking if engagement rates suggest fake followers, auditing a creator's engagement quality before a partnership, analyzing engagement by content type (reels, stories, feed posts, TikTok videos), or assessing engagement trends across a creator's recent posts. For estimating fair market rates based on engagement, see creator-rate-estimator. For full creator vetting beyond engagement, see creator-vetting-scorecard. For scoring niche fit, see niche-fit-scorer.
Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection and quality-focused prompting
Selects a .NET UI framework. Decision tree across Blazor, MAUI, Uno, WinUI, WPF, WinForms.
Complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay templates across 8 categories. Use when building enrichment workflows, setting up Clay tables, or maximizing data quality.
Master SQL and database queries across multiple systems. Generate optimized queries, analyze performance, design indexes, and troubleshoot slow queries for PostgreSQL, MySQL, MongoDB, and more.
Google Ads deep analysis covering Search, Performance Max, Display, YouTube, and Demand Gen campaigns. Evaluates 74 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings. Use when user says "Google Ads", "Google PPC", "search ads", "PMax", "Performance Max", or "Google campaign".
Comprehensive TypeScript file audit system. Command-only skill (no natural triggers). Accepts file or directory path to systematically audit through accelint-ts-testing, accelint-ts-best-practices, accelint-ts-performance, and accelint-ts-documentation skills. Maintains progress tracking across sessions with interactive change approval. Uses isolated git worktrees to enable parallel audits without conflicts.
WOLF v6 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Manages multiple strategies simultaneously, each with independent wallets, budgets, slots, and DSL configs. 7-cron architecture with Emerging Movers scanner (90s, FIRST_JUMP + IMMEDIATE_MOVER), DSL v4 trailing stops (combined runner every 3min, 4-tier at 5/10/15/20% ROE), SM flip detector (5min), watchdog (5min), portfolio updates (15min), opportunity scanner v6 (15min, BTC macro + hourly trend + disqualifiers), and health checks (10min). Same asset can be traded in different strategies simultaneously. Enter early on first jumps, not at confirmed peaks. Minimum 7x leverage required. Requires Senpi MCP connection, python3, mcporter CLI, and OpenClaw cron system.