python-code-review
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...
Discover Testing & security skills, compare source repositories and read the instructions for each workflow.
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...
以测试与验证为先的方式,按序执行并实现已批准的规范提案。用于实施变更、应用提案、执行规范任务或按已批准计划构建。触发词包括 "openspec开发", "开发", "实施" "实现提案", "应用变更", "执行规范", "按顺序完成任务", "...
基于用户需求为当前功能生成定制检查清单的专业工具。专门用于需求质量验证,生成"英语的单元测试",验证需求的完整性、清晰度和一致性。触发词:speckit-checklist、检查清单、需求验证、质量检查、checklist、requirements v...
Loads project context, lists existing specs and changes, searches capabilities and requirements. Use when user asks about project state, existing specs, active changes, available capabilities, or needs context...
加载项目上下文,列出现有规范与变更,搜索能力与需求。用于用户询问项目状态、现有规范、进行中的变更、可用能力或需要发现上下文时。触发词包括"openspec上下文", "有哪些规范", "显示变更", "列出能力", "项目上下文", "查...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.