Results for “ks3”

Train reinforcement learning agents using PPO, SAC, DQN, TD3, DDPG, and A2C algorithms with a scikit-learn-like API. Supports custom Gymnasium environments, vectorized environments, callbacks, and model persistence.

Create, update, or migrate Wear OS projects using Compose Material3, Foundation, and Navigation3 libraries with official component samples and migration guidance.

Assists with building custom interactive data visualizations using D3.js. Use when creating charts, graphs, maps, force layouts, or hierarchical diagrams that require fine-grained control beyond what charting libraries provide. Trigger words: d3, data visualization, chart, svg, scales, force graph, treemap, choropleth.

Expert guidance for working with Wear OS Compose Material3. Use this skill when creating, updating or migrating Wear OS projects. This includes the androidx.wear.compose.material3, androidx.wear.compose.foundation and androidx.wear.compose.navigation3 libraries. Also working with core components such as AppScaffold, ScreenScaffold and TransformingLazyColumn. Migration from earlier versions such as Material 2.5 and Horologist.

Universal transformation λ(ο,K).τ with recursive self-improvement. USE WHEN routing reasoning, validating knowledge graphs, preparing CICM/ANZCA examinations, or when self-improvement of reasoning/architecture/context is required. Routes queries through R0-R3 complexity pipelines, validates topology (η≥target) and governance (KROG), emits per style (Φ), and compounds learnings into knowledge K. Triggers on complexity assessment, multi-step reasoning, examination mode, or /λ invocation.

Use when inferring maximum-likelihood phylogenetic trees, selecting substitution models, running bootstrap support analyses, or performing partitioned phylogenetic analyses on sequence alignments.

Scaffolds Web3 dApps with wallet connection, contract interaction, and transaction management

HTTP/3 and QUIC Protocol

D3.js data visualization library reference. Covers selections, data binding (enter/update/exit), scales, axes, shape generators (line/area/pie/arc), force layout, treemap, geo maps, transitions, event handlers, zoom, brush, and drag interactions.

Prevents Ethereum hashing bugs by distinguishing Keccak-256 from Node's NIST SHA3-256, with code examples for ethers, viem, and web3.js.

Installs, configures, and tunes Snort 3 intrusion detection system to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins on authorized network segments.

KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph).