Results for “neon”

Guides building secure admin panels with RBAC, audit logging, and step-up controls for privileged actions.

Tracks crypto and AI narratives with mindshare scores, velocity arrows, phase labels, named drivers, and position calls. Detects phase transitions and reflexivity signals.

Perform time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search using a scikit-learn compatible Python toolkit.

Recursive self-improving holon λ(ο,Κ,Σ).τ' for knowledge compounding and schema evolution. USE WHEN learning, improving, optimizing, assessing, reflecting, debugging, synthesizing, or refining—whether human, AI, or organizational. Triggers on /learn, /compound, /improve, /refine, /optimize, /assess, /reflect, "lessons learned", "best practices", "continuous improvement". Preserves Κ-monotonicity, η≥4, homoiconicity.

PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production

Generates a single-frame HTML template with a cinematic film-leak aesthetic: warm light leaks, 35mm grain, 2.39:1 letterbox, and serif typography for opening titles or chapter cards.

Generates at most one token recommendation and one prediction-market pick per run, each with a falsifiable thesis, entry, sizing, and kill criterion. Returns NO_PICK when no candidate meets the bar.

Standard reviewer for correctness and reproducibility. Use when the user asks to talk to Omen, requests a code review, or needs reproducibility verification.

Monitors EVM blockchain addresses and contracts for large transfers, new approvals, contract upgrades, unusual gas spends, MEV interactions, and first-time interactions with new contracts.

Cashu: single-mint Chaumian e-cash for Bitcoin Lightning. NUTs (Notation, Usage, and Terminology specs) define mint protocol, payment flow, blind signatures. USE WHEN: integrating Cashu mints/wallets, building NUT-compliant apps, comparing with Fedimint.

Chameleon: Mixed-Modal Early-Fusion Foundation Models

Monitors a watchlist of Polymarket markets and surfaces meaningful shifts in price, volume, comments, or resolution proximity, with position context and optional Bankr integration.

Customize and apply themes in Naive UI including dark mode, theme variables, and creating themed components

Use when configuring, running, or fixing PHPStan static analysis in WordPress projects (plugins/themes/sites): phpstan.neon setup, baselines, WordPress-specific typing, and handling third-party plugin classes.

LLaVA-NeXT: Improved Reasoning, OCR, and World Knowledge

Documents Renault's brand design system including color palette, typography hierarchy, and layout principles for web implementation.

Esta skill deve ser usada para tarefas de machine learning em séries temporais, incluindo classificação, regressão, clustering, forecasting, detecção de anomalias, segmentação e busca de similaridade. Use quando trabalhar com dados temporais, padrões sequenciais ou observações indexadas por tempo que requerem algoritmos especializados além de abordagens padrão de ML. Particularmente adequada para análise univariada e multivariada de séries temporais com APIs compatíveis com scikit-learn.

Analyze and replicate xAI's design language: near-black canvas, white pill outlines, Universal Sans display type, and Geist Mono technical labels.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

PHPStan static analysis in Sage/Acorn projects — lando composer phpstan, phpstan.neon configuration, PHPStan level 0-9, WordPress PHP stubs, szepeviktor/phpstan-wordpress, baseline generation, CI phpstan, suppress errors, type errors, return type mismatch, nullable types, WordPress function stubs, WP_Post WP_Query WP_User types

Create or analyze settings, scenes, world operations, and image direction in the literary cyberpunk mode of William Gibson's Sprawl fiction: dense, accreted urban systems; uneven high technology; corporate power; mediated culture; and human-scale survival inside global networks. Use for Gibson-informed creative work, setting design, or visual briefs, not for generic neon cyberpunk, faithful continuation of named canon, or imitation of Gibson's prose.