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Found 1,580 Skills
Subscribe & Save optimization — enrollment, discount tiers, frequency optimization, retention analysis
Amazon repricing strategy advisor — competitive pricing rules, Buy Box optimization, margin protection, and repricing tool selection. Builds custom repricing logic based on your goals: Buy Box win rate, margin targets, or velocity.
FBA inventory planning — restock timing, safety stock, IPI score optimization, stranded inventory recovery
Amazon Store builder — page layouts, brand story, shoppable images, traffic driving, conversion optimization
Scans code for performance and scalability issues — N+1 queries, missing indexes, unbounded queries, memory inefficiencies, caching gaps, algorithmic complexity, concurrency bugs, and frontend performance problems. Generates severity-scored findings with copy-pasteable fix prompts. Trigger phrases: "performance audit", "performance check", "N+1 detection", "query optimization", "slow code", "performance review".
Optimize App Store product pages for search visibility and conversion. Covers App Store Optimization ASO strategy, keyword research and keyword field optimization, app title and subtitle keyword placement, App Store description writing for conversion, promotional text rotation strategy, screenshot caption writing and ordering, in-app review prompt timing with RequestReviewAction and AppStore.requestReview, Custom Product Pages for audience segments, in-app events for search indexing, product page A/B testing experiments, localized metadata optimization across markets, and ratings and review management. Use when improving App Store discoverability, optimizing keyword strategy, writing App Store descriptions or promotional text, planning screenshot captions, setting up Custom Product Pages, configuring in-app review prompts, creating in-app events, running product page optimization tests, or developing a ratings management strategy.
Autonomous experiment loop for optimization research. Use when the user wants to: - Optimize a metric through systematic experimentation (ML training loss, test speed, bundle size, build time, etc.) - Run an automated research loop: try an idea, measure it, keep improvements, revert regressions, repeat - Set up autoresearch for any codebase with a measurable optimization target Implements the autoresearch pattern with MAD-based confidence scoring, git branch isolation, and structured experiment logging.
Expertise in Aglais XQVM, a hardware-agnostic Rust quantum virtual machine for QUBO/Ising binary optimization models targeting quantum annealers.
Specializes in analyzing Lynx trace data to diagnose performance issues and provide actionable optimization strategies. Key Scenarios: - Loading Performance: Diagnosing slow startup metrics (FCP, FMP, TTI) and white screen issues. - Smoothness Analysis: Investigating root causes for scroll jank, frame drops, and interaction lag. - Regression Detection: Comparing traces to identify performance degradation or verify optimization gains between versions. - Pipeline Deep Dive: Pinpointing bottlenecks in specific rendering stages like Layout, Paint, JS execution, and background threads. - Native Module Analysis: Investigating performance issues related to native module calls.
Yoast SEO platform help — the most widely used WordPress SEO plugin (13M+ installs) with a Shopify app. Covers content analysis, readability scoring, focus keyphrase optimization, schema/structured data output, redirect manager, internal linking suggestions, AI-generated meta descriptions, llms.txt for AI search, REST API for headless WordPress, and WooCommerce product SEO. Use when Yoast readability or SEO score won't turn green, schema markup isn't showing in Google Search Console, your site slowed down after installing Yoast, you need to set Yoast fields via REST API for headless publishing, Yoast update caused a critical error, or you want to configure Yoast for Shopify. Do NOT use for general SEO strategy without Yoast context (use /seo-audit or /sales-semrush).
BetaList platform help — pre-launch startup discovery directory where early adopters find startups before they make it big (15,000+ featured startups, 100K+ early adopters, DR67 dofollow backlink). Covers submission optimization, acceptance criteria (21% acceptance rate), free queue vs $129 Priority listing, newsletter inclusion (30K+ subscribers), listing best practices, and API access. Use when your startup needs early adopter signups, BetaList submission got rejected, not sure if Priority listing is worth $129, or listing isn't attracting enough interest. Do NOT use for multi-directory launch strategy (use /sales-launch-directory). Do NOT use for Product Hunt (use /sales-producthunt).
TopAI.tools platform help — curated AI tools directory (2,700+ tools, 120+ categories, ~1-1.9M monthly visits, daily updates). Covers free submission (48-hour review), Fast Track ($39, 24-48 hours, no queue), Boosted listing ($229, featured site-wide 7 days, top category spots), listing optimization for search visibility, and SEO backlink value. Use when submitting an AI tool to TopAI.tools, wondering if the $39 Fast Track is worth it, want a Boosted featured listing on TopAI.tools, comparing TopAI.tools with TAAFT or Futurepedia, or trying to optimize your TopAI.tools listing for clicks. Do NOT use for multi-directory launch coordination (use /sales-launch-directory). Do NOT use for other AI directories like TAAFT (use /sales-theresanaiforthat) or Futurepedia (use /sales-futurepedia).