按技能名称、说明或 GitHub 作者匹配的结果。
Implement features end-to-end in Laravel 12 + Inertia.js + React 19 + TypeScript OR Python + FastAPI + LangChain. Use when building new features, wiring controllers to pages, or implementing CRUD operations. EX...
M3社が開発したPythonの機械学習パイプラインツールgokartに関する深い知識とベストプラクティスを提供する。Use when reviewing gokart task designs, implementing type-safe ML pipelines, writing gokart tests, or workin...
Access Asana workspaces, projects, tasks, and users. Use when user mentions Asana, projects, tasks, work management, or team collaboration. Uses Python asana library for reliable access.
Determines project type from context to configure analysis thresholds. Checks prompt, scans documents, or asks user if type cannot be inferred. Outputs project_type for use by python-plan-optimization skill.
Provides comprehensive code review guidance for React 19, Vue 3, Rust, TypeScript, Java, and Python. Helps catch bugs, improve code quality, and give constructive feedback. Use when: reviewing pull requests, co...
Access Jira issues and Confluence pages via Python scripts with OAuth 2.0 authentication. Use when user asks about Jira tickets, issues, bugs, stories, epics, sprints, or Confluence pages, wiki, documentation.
Access Jira issues and Confluence pages via Python scripts with OAuth 2.0 authentication. Use when user asks about Jira tickets, issues, bugs, stories, epics, sprints, or Confluence pages, wiki, documentation.
Multi-ecosystem dependency analysis tools. Provides structured data for vulnerability scanning and version checking. The AI applies intelligence to create rich reports - scripts are data providers only. Support...
Comprehensive code review assistant that analyzes code for security vulnerabilities, performance issues, and code quality. Use when reviewing pull requests, conducting code audits, or analyzing code changes. Su...
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, Bun, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architec...
Generate comprehensive WIKI.md documentation for any codebase using LSP for precise code analysis. Use when user asks to document a codebase, generate technical documentation, create architecture diagrams, or a...
Systems-level performance engineering for Rust, C/C++, and Python codebases. Use when profiling, debugging performance bottlenecks, analyzing CPU/memory usage, finding slow code paths, optimizing hot loops, inv...
Use this skill when creating, updating, or querying AI-optimized tracking artifacts (progress files, context notes, bug fixes, observation logs) in YAML+Markdown hybrid format for 95% token reduction. Invoke fo...
Manage Temporal workflows: server lifecycle, worker processes, workflow execution, monitoring, and troubleshooting for Python SDK with temporal server start-dev.
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes archi...
This skill should be used when users request comprehensive analysis of technology ecosystems, comparing multiple libraries/frameworks/tools with quantitative metrics from GitHub and web research. Trigger words...
Maintain approved technology stack including TypeScript/Python languages, React/Tailwind frontend, Node.js/FastAPI backend, PostgreSQL/Redis persistence, and Ansible infrastructure automation with enforced qual...
Guide for using jira-tool CLI correctly to create and manage Jira tickets with rich formatting. Use when working with Jira tickets, epics, or exports. Triggers on "create Jira ticket", "search Jira", "get Jira...
Data analysis workflows and patterns for processing, analyzing, and visualizing data using Python data science libraries.
Create a plan and issues for implementation of a production-ready Python project with proper structure, tooling, and best practices.
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
自动进化型 CR 专家。通过 Python 脚本实现确切的项目管理与双存储日志归档。它不仅指出通用错误，更致力于通过分析存量代码来维护项目的"潜规则"一致性。
Create a plan and issues for implementation of a production-ready Python project with proper structure, tooling, and best practices.
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。