浏览 sammcj 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
已收录技能
21收录技能的仓库 Stars 合计
2,005仓库 Forks
338平均每个技能的仓库 Stars
95同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
Use when creating architecture diagrams with Python's `diagrams` library (mingrammer/diagrams). Use this skill whenever the user asks to create, generate, or update cloud architecture diagrams, infrastructure d...
Use when working with Anthropic Claude Agent SDK. Provides architecture guidance, implementation patterns, best practices, and common pitfalls.
Applies the Diataxis framework to create or improve technical documentation. Use when being asked to write high quality tutorials, how-to guides, reference docs, or explanations, when reviewing documentation qu...
This skill should be used when writing or reviewing Swift code for iOS or macOS projects. Apply modern Swift 6+ best practices, concurrency patterns, API design guidelines, and migration strategies. Covers asyn...
Extract wisdom, insights, and actionable takeaways from text sources. Use when asked to analyse, summarise, or extract key learnings from blog posts, articles, markdown files, or other text content.
Critical thinking and logical reasoning analysis skills for when you are explicitly asked to critically analyse written content such as articles, blogs, transcripts and reports (not code).
Creates structured development plans with phased task breakdowns, requirements, and QA checklists. Use when the user explicitly asks to create a dev plan, development plan, or document development requirements.
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality e...
Extract wisdom, insights, and actionable takeaways from YouTube videos. Use when asked to analyse, summarise, or extract key learnings from YouTube content. Downloads video transcripts, performs analysis includ...
Practical bash scripting guidance emphasising defensive programming, ShellCheck compliance, and simplicity. Use when writing shell scripts that need to be reliable and maintainable.
Creating and maintaining CLAUDE.md project memory files that provide non-obvious codebase context. Use when (1) creating a new CLAUDE.md for a project, (2) adding architectural patterns or design decisions to e...
Applies a modified Fagan Inspection methodology to systematically resolve persistent bugs and complex issues. Use when multiple previous fix attempts have failed repeatedly, when dealing with intricate system i...
Use when discussing or working with DeepEval (the python AI evaluation framework)
This skill should be used when helping with Home Assistant setup, including creating automations, modifying dashboards, checking entity states, debugging automations, and managing the smart home configuration....
Guidance for editing Ghostty terminal configuration files. You must use this skill when creating or modifying Ghostty config files.
Applies current Go testing best practices. Use when writing or modifying Go test files or advising on Go testing strategies.
Provides guidelines for applying Mantel's brand styles to diagrams and frontend components. Use when asked to create visuals that need to align with Mantel's branding.
Acquire expert Rust developer specialisation in rust systems programming, memory safety, and zero-cost abstractions. Masters ownership patterns, async programming, and performance optimisation for mission-criti...
Guide for creating effective Claude Skills. This skill should be used when users want to create (or update) a skill that extends Claude's capabilities with specialised knowledge, workflows, or tool integrations...
Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behaviour, production pollution with test-only methods, and mocking without under...
Use this skill when you need to review and refactor code to make it simpler, more maintainable, and easier to understand. Helps with identifying overly complex solutions, unnecessary abstractions.
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。