avalonia
Expert guidance for developing cross-platform desktop applications with Avalonia UI framework. Use when building, debugging, or optimizing Avalonia apps including MVVM architecture, XAML design, data binding, s...
发现 数据与 AI 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Expert guidance for developing cross-platform desktop applications with Avalonia UI framework. Use when building, debugging, or optimizing Avalonia apps including MVVM architecture, XAML design, data binding, s...
Orchestrates access to the Home Assistant REST API for programmatic control of smart home devices. Routes requests to specialized resource files based on task type - authentication, state management, service ca...
Orchestrates comprehensive GitHub API access across all services. Intelligently routes API operations to specialized resource files covering authentication, repositories, issues/PRs, workflows, security, and mo...
Apply the K.I.S.S principle (Keep It Simple, Stupid) to reduce complexity, improve maintainability, and solve problems elegantly. Use when designing systems, writing code, planning solutions, creating documenta...
Performs comprehensive code reviews for Python files following PEP 8 and Google Python Style Guide standards. Checks code quality, best practices, security, performance, maintainability, and style compliance. U...
Analyzes images and generates optimized prompts for Google's Veo 3.1 video generation model. Use when users provide an image and want to animate it or create a video prompt from it. Applies Veo 3.1's five-part...
Execute Python scripts and code using the user's Anaconda Python installation at C:\Users\29165\anaconda3\python.exe. Use this skill when the user needs to run Python code, execute Python scripts, install Pytho...
Execute Stata do-files via Bash using absolute paths and automatically retrieve logs.
查询计量经济学RAG知识库。当用户输入以"rag:"开头时,LLM会使用Python查询Bruce Hansen计量经济学教材的RAG数据库,返回相关文档内容。
智能计量经济学分析代理。当用户输入以"autoregmonkey:"开头时,LLM会解析经济学计量任务,参考RAG数据库知识,动态调用Python和Stata技能执行任务,最后生成中文报告。
Review implementation fidelity against specifications by comparing actual code to spec requirements. Identifies deviations, assesses impact, and generates compliance reports for tasks, phases, or entire specs.
Plan-first development methodology that creates detailed specifications before coding. Use when building features, refactoring code, or implementing complex changes. Creates structured plans with phases, file-l...
Apply spec modifications systematically. Use to apply review feedback, bulk modifications, or interactive spec updates with safety checks, validation, and rollback support.
Targeted query capabilities for machine-readable codebase documentation with cross-reference tracking, call graph analysis, and workflow automation. Enables fast lookups of classes, functions, dependencies, and...
AI-powered PR creation after spec completion. Analyzes spec metadata, git diffs, commit history, and journal entries to generate comprehensive PR descriptions with user approval before creation.
Multi-model consultation for SDD specifications providing structured feedback. Coordinates parallel AI reviewers, synthesizes actionable insights, and categorizes findings by feedback type without modifying spe...
Progress tracking for spec-driven development. Use to update task status, track progress, journal decisions, move specs between folders, and maintain spec files. Handles the administrative/clerical aspects of s...
Render JSON specs to human-readable markdown with AI-enhanced insights, visualizations, and progressive disclosure
Task preparation skill for spec-driven workflows. Reads specifications, identifies next actionable tasks, and creates detailed execution plans. Use when ready to implement a task from an existing spec - bridges...
LLM-powered documentation generation for narrative architecture docs, tutorials, and developer guides. Uses AI consultation to create contextual, human-readable documentation from code analysis and spec data.
Validate SDD JSON specs, auto-fix common issues, generate detailed reports, and analyze dependencies.
Comprehensive pytest testing and debugging framework. Use when running tests, debugging failures, fixing broken tests, or investigating test errors. Includes systematic investigation workflow with external AI t...
基于speckit工作流的任务生成技能,用于根据可用设计文档生成可操作的、依赖有序的tasks.md。当需要基于spec.md、plan.md、data-model.md、contracts/等设计文档为功能开发生成详细任务列表时使用此技能。触发词包括"speckit t...
Creates structured change proposals with specification deltas for new features, breaking changes, or architecture updates. Use when planning features, creating proposals, speccing changes, introducing new capab...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。