Implements a PyTorch Transformer model with configurable layer dimensions and attention masking, and a training loop that retains the best performing model based on validation loss.

Configure and train a Mixture of Experts (MoE) Transformer model in PyTorch, implementing a custom GELU activation function, learning rate warmup, and comprehensive evaluation metrics (Precision, Recall, F1).

A structured 6-step methodology for designing sales compensation models using Monte Carlo simulations, tailored for subscription-based software startups, combining financial planning and statistical analysis.

Writes literary analysis essays using simple vocabulary and a strict structure: an introduction with a thesis and roadmap, three body paragraphs (each containing three sub-topics), and a conclusion restating the thesis.

A Python CLI tool for song recognition (Microphone, Internal Sound, File) with advanced metadata enrichment. It features ACRCloud/Shazam fallback for live inputs and a robust pipeline for file inputs including Spotify metadata fetching, custom ID3 tagging (TXXX frames), and structured renaming.

Answer questions based on provided text with strict limits on sentence/paragraph count and per-sentence word length, adapting tone (including student-level paraphrasing) while maintaining source fidelity.

Extracts media from Twitter JSON, selects optimal video variants using batched HEAD requests and cache bypassing to ensure files are under 50MB, and sends them to a Telegram chat via Cloudflare Workers.

Implement a camera save/load system in Unity for an Eldritch Sight mechanic, featuring 4 slots, double-tap to save, single-tap to load, and dynamic UI color feedback (Red for saved, Green for loaded, White highlight, Gray for blank).

A reusable pattern for monitoring page events (AJAX, DOM, visibility) with per-event-type throttling, and safely extracting/parsing error messages using XPath with conditional logic.

Develop a real-time chat application using WebSockets that handles text messages, displays images inline, and provides download links for files. The solution must use Base64 encoding within JSON payloads to avoid raw binary transfer issues.

Создание интерактивных графиков Plotly для сравнения фактических и предсказанных классов событий логов, сгруппированных по имени хоста (Sourcehostname), с использованием слайдера и селектора диапазонов.

Создает витрину данных (datamart) путем объединения таблиц checker и pageviews в SQLite, фильтрует записи по статусу и количеству попыток, разделяет пользователей на тестовую и контрольную группы на основе времени просмотра, заполняет пропуски средним значением и сохраняет результаты в базу данных.

إنشاء سكريبت بلغة بايثون لمراقبة صفحة ويب بشكل مستمر واستخراج الأحداث الرياضية الحصرية، مع التركيز على طباعة التحديثات الجديدة فقط دون تكرار.

指导用户如何继承bt.feeds.PandasData类，通过定义lines和params将包含自定义列名（如symbol, frequency, open, close等）的Pandas DataFrame正确映射到Backtrader回测引擎中。

使用Python標準庫csv計算CSV文件中第一列目標序列與後續列的相似度，不依賴pandas或SequenceMatcher。

针对包含小数坐标的离散点，编写MATLAB程序实现霍夫变换以提取直线斜率和截距。要求不使用MATLAB自带的hough函数进行变换，需手动实现累加器逻辑，并解决浮点数rho值映射到整数索引的问题。

使用Python Pandas对Excel文件中指定列进行分组去重，当目标列值为空（NaN）时不执行去重操作。

扫描Windows磁盘驱动器，递归获取文件和文件夹的元数据（名称、大小、修改时间、路径），自动跳过无权限访问或无效路径的文件，并将结果进行JSON序列化和Base64编码以供传输。

使用GLM库实现向量变换函数Vector3TransformNormal（法线变换）和Vector3TransformCoord（坐标变换），并要求形参使用const T&模板引用以支持泛型。

对数据按指定列（如年龄）进行分组OLS回归分析，提取所有自变量的系数、t值和p值，并将结果整理保存为CSV文件。

使用Python处理包含SNP基因型和表型数据的CSV文件，筛选纯合基因型，计算表型均值并找出每个位点表现最好的基因型。

根据用户指定的数据主题、时间范围和列结构，将数据整理并导出为CSV格式。

根据预定义的规则和枚举值，将用户输入的自然语言指令解析为包含动作、事项、范围和参数的JSON格式。

针对包含多只股票和多指标的日度平衡面板数据，按日期分组后，根据各指标的分位数阈值（如前30%或后30%）筛选股票代码，并将结果横向合并为DataFrame。

Design APIs that are secure, scalable, and maintainable using RESTful, GraphQL, and event-driven patterns. Use when designing new APIs, evolving existing APIs, or establishing API standards for teams.

Manage DNS records, TTL strategies, and DNS-as-code automation for infrastructure. Use when configuring domain resolution, automating DNS from Kubernetes with external-dns, setting up DNS-based load balancing, or troubleshooting propagation issues across cloud providers (Route53, Cloud DNS, Azure DNS, Cloudflare).

Implementing multi-layer security scanning (container, SAST, DAST, SCA, secrets), SBOM generation, and risk-based vulnerability prioritization in CI/CD pipelines. Use when building DevSecOps workflows, ensuring compliance, or establishing security gates for container deployments.

Operating production Kubernetes clusters effectively with resource management, advanced scheduling, networking, storage, security hardening, and autoscaling. Use when deploying workloads to Kubernetes, configuring cluster resources, implementing security policies, or troubleshooting operational issues.

Design and implement Internal Developer Platforms (IDPs) with self-service capabilities, golden paths, and developer experience optimization. Covers platform strategy, IDP architecture (Backstage, Port), infrastructure orchestration (Crossplane), GitOps (Argo CD), and adoption patterns. Use when building developer platforms, improving DevEx, or establishing platform teams.

Build event streaming and real-time data pipelines with Kafka, Pulsar, Redpanda, Flink, and Spark. Covers producer/consumer patterns, stream processing, event sourcing, and CDC across TypeScript, Python, Go, and Java. When building real-time systems, microservices communication, or data integration pipelines.

Graph database implementation for relationship-heavy data models. Use when building social networks, recommendation engines, knowledge graphs, or fraud detection. Covers Neo4j (primary), ArangoDB, Amazon Neptune, Cypher query patterns, and graph data modeling.

Time-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.

Extract .webarchive files (saved from Safari) into plain HTML/assets using the WebArchiveExtractor CLI. Use when the user wants to unarchive, extract, or convert a .webarchive file.

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Recognize and extract structured data from invoices, receipts, and bills using iFlytek OCR API (科大讯飞票据识别). Supports VAT invoices, taxi receipts, train tickets, toll invoices, medical bills, bank receipts, and more.

iFlytek Voice Clone tts(声音复刻) — train a custom voice model from audio samples and synthesize speech with the cloned voice. Supports the full workflow: get training text → create task → upload audio → submit training → poll results → synthesize with cloned voice. Pure Python stdlib, no pip dependencies.

Transform resume bullets into detailed portfolio case studies

- Step 3 (Batch 1 Results) completed with all metrics extracted

Audit screens for UX issues using Nielsen's heuristics and modern mobile UX best practices

Add appropriate user feedback states (loading, success, error, empty) to a component or page

View, add, or modify design tokens in the StyleSeed design system

Builds configuration-driven dynamic forms with Avue Form, including field types (input, select, date, upload), validation rules, form groups, tabbed layouts, and event handling. Use when the user needs to create forms with Avue in Vue applications, implement form validation, or build dynamic multi-step forms.

Integrates Apache ECharts into UniApp and UniAppX projects for cross-platform data visualization (H5, mini-programs, native App). Supports line, bar, pie, scatter, radar, gauge, funnel, heatmap, and more chart types. Use when the user needs to create ECharts charts in UniApp/UniAppX or configure interactive data visualizations for mobile and web.

Provides comprehensive guidance for Cocos2d-x v4 game engine including scene graph, nodes, sprites, actions, animations, physics, rendering, shaders, and platform deployment. Use when the user asks about Cocos2d-x, needs to create games, implement game features, set up development environments, or deploy games to multiple platforms.

Automates browser interactions via CLI using agent-browser by Vercel Labs. Covers navigation, clicking, form filling, snapshots, refs-based selectors, agent mode with JSON output, session management, and CDP integration. Use when the user needs to automate web browsing, scrape pages, fill forms, or integrate browser automation into AI agent workflows.

Creates flowcharts, swim lane diagrams, and business process diagrams using Draw.io (diagrams.net). Covers standard flowchart shapes (process, decision, start/end), connectors, auto-layout, and export to PNG/SVG/PDF. Use when the user needs to visualize workflows, decision trees, or business processes.