msw
MSW (Mock Service Worker) best practices for API mocking in tests (formerly test-msw). This skill should be used when setting up MSW, writing request handlers, or mocking HTTP APIs. This skill does NOT cover ge...
Découvrez les skills Blockchain, comparez leurs dépôts et consultez leurs instructions.
MSW (Mock Service Worker) best practices for API mocking in tests (formerly test-msw). This skill should be used when setting up MSW, writing request handlers, or mocking HTTP APIs. This skill does NOT cover ge...
Code refactoring best practices based on Martin Fowler's catalog and Clean Code principles (formerly refactoring). This skill should be used when refactoring existing code, improving code structure, reducing co...
Rust refactoring and idiomatic patterns guidelines from the Rust Community (formerly rust-refactor). This skill should be used when writing, reviewing, or refactoring Rust code to ensure idiomatic patterns and...
核心地图开发助手。提供地图显示、覆盖物绘制(标记/聚合/图形)、定位服务及离线地图功能的开发指引。
Store and recall memories across Claude Code sessions. Cures AI amnesia - remember decisions, preferences, and learnings.
导航开发助手。提供路径规划(驾车/步行/骑行)、实时导航 UI、独立算路及货车/摩托车专用导航功能。
Use when starting tasks to recall relevant context, or when completing work that should be remembered
原生搜索开发助手。提供高性能的 POI 搜索、输入提示、逆地理编码功能的开发指引。
Cancel an active Ralph Loop and clean up state files. Triggers on: '/cancel-ralph', 'cancel ralph', 'stop ralph', 'kill ralph loop', 'abort ralph'.
MUST be used when creating pull requests. Handles context gathering, title generation (conventional commit format), body formatting, and PR creation via GitHub CLI. Creates PRs as drafts by default. Triggers on...
Initialize or migrate to nested CLAUDE.md structure for progressive disclosure. Claude auto-loads CLAUDE.md from any directory it reads, enabling true contextual guidance. Triggers on: '/init-deep', 'deep init'...
Plan-then-execute workflow combining structured planning with autonomous Ralph Loop execution. Triggers on: '/ralph-plan ', 'plan and execute', 'plan then execute', 'smart ralph'. Creates plan via interview and...
Start a Ralph Loop - an autonomous iteration pattern for completing complex tasks. Triggers on: '/ralph-loop ', 'ralph loop', 'start ralph'. Creates state in .claude/ralph/, injects ultrawork mode, and iterates...
Structured planning with draft management. Use this skill when the user wants to plan a feature, task, or project before implementation. Triggers on: '/plan ', 'let's plan', 'plan for', 'help me plan'. Creates...
Git worktree automation for isolated feature development. Triggers on: '/worktree create', '/worktree list', '/worktree remove'. Creates isolated working directories with automatic setup.
MUST be used for ANY git workflow that involves committing code. This includes explicit commit requests AND implicit ones like 'ship it', 'wrap it up', or finishing implementation work. Handles staging, message...
Create new blog posts with proper frontmatter, structure, and ScottInk voice. Use when writing blog posts or starting technical articles.
Audit local analytics for bot traffic, referrer spam, and data quality. Use when investigating discrepancies between Fathom and local stats.
Validate blog posts for quality, consistency, en-GB spelling, and ScottInk style. Use when reviewing posts before publication.
Prepare newsletters for publication by validating format, structure, frontmatter, and content. Use when reviewing drafts before sending.
Write in Scott's authentic voice - British, conversational, self-deprecating, code-first. Use when writing blog posts, technical content, or documentation.
Lint content for spelling errors, en-GB compliance, and writing quality. Use when checking markdown files before publication.
Use when building, auditing, or reviewing SvelteKit remote functions for validation, batching, and optimistic UI patterns
Search, filter, and retrieve Claude/Codex history indexed by the memex CLI. Use when the user wants to index history, run lexical/semantic/hybrid search, fetch full transcripts, or produce LLM-friendly JSON out...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.