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Found 803 Skills
Review ML or AI experiment figures, tables, plots, captions, result narratives, and paper visual style before they are shown in a paper, advisor meeting, report, slide deck, rebuttal, or submission. Use this skill whenever the user has experimental results, plots, tables, metrics, screenshots, captions, draft result sections, or wants to audit figure style choices such as color, typography, markers, symbols, line widths, sizing, and venue-consistent visual conventions.
Academic paper search and metrics analysis. Searches arXiv, PubMed, and Web of Science simultaneously with journal impact factor data. Triggers on requests to search for papers or find literature.
Use for anything related to EAS Observe — adding `expo-observe` to an Expo project (AppMetricsRoot/ObserveRoot HOC, markInteractive, the useObserve hook, and the Expo Router / React Navigation integrations for per-route metrics), querying via the EAS CLI (`eas observe:metrics-summary`, `observe:metrics`, `observe:routes`, `observe:events`, `observe:versions`), or interpreting the resulting metrics (cold/warm launch, TTR, TTI, navigation cold/warm TTR, update download, and the TTI frameRate params for triaging slow startups).
Prevent Amazon account and listing suspensions, and write a Plan of Action to appeal one. Covers the account health metrics that trigger enforcement, the common suspension reasons, and how to structure a Plan of Action that gets reinstated. Use when a user asks about a suspended account or listing, a deactivated listing, account health, a Plan of Action, an appeal, or reinstatement. Trigger phrases: "suspended", "account suspension", "listing deactivated", "plan of action", "POA", "appeal", "reinstatement", "account health". Works with zero tools.
Diagnose why a listing is losing the Amazon Buy Box (Featured Offer) and build a plan to win it back. Covers seller-health signals, pricing relative to the competing offer, fulfillment method, stock, and account metrics. Use when a user asks why they lost the Buy Box, how to win the Featured Offer, why a reseller is beating them, or why their own listing shows another seller's offer. Trigger phrases: "buy box", "featured offer", "lost the buy box", "win the buy box", "buy box percentage", "another seller has my listing". Works with zero tools. the user describes the offer and account state.
Triage an Amazon Account Health Rating (AHR) screenshot or text dump. Identifies which violations and metrics are pulling the rating down, prioritizes by point weight, and outputs a remediation order. Use when a user asks about Account Health, AHR, account health rating dropping, violations to address, or stabilizing a yellow or red account. Trigger phrases: "account health", "AHR", "violations", "policy strikes", "account at risk". Works with zero tools. the user pastes the AHR snapshot.
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
Identify and debug performance regressions from code changes. Use comparison and profiling to locate what degraded performance and restore baseline metrics.
Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
Monitoring guidelines for applications and infrastructure including metrics collection, alerting strategies, and SLO-based monitoring
Filter and screen stocks by financial metrics like P/E ratio, market cap, dividend yield, and growth rates. Analyze and compare stocks from CSV data.