http-cache-tools
HTTP cache debugging tools and techniques. Use when asked to inspect cache headers, debug HTTP responses, use curl for cache analysis, or verify caching behavior. Includes SparkFabrik container context with mak...
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HTTP cache debugging tools and techniques. Use when asked to inspect cache headers, debug HTTP responses, use curl for cache analysis, or verify caching behavior. Includes SparkFabrik container context with mak...
Dynamic Page Cache and BigPipe module behavior in Drupal. Use when asked about authenticated user caching, auto-placeholdering, lazy builders, BigPipe streaming, X-Drupal-Dynamic-Cache header, or why content sh...
Drupal lazy builders and placeholder implementation. Use when asked about
Drupal cache tags implementation guide. Use when asked about cache tag naming conventions, entity tags, list tags, custom tags, tag invalidation strategies, or debugging tag-based cache invalidation issues. Cov...
Use this skill for ANY interaction with external issue tracking and project management tools (Linear, Jira, GitHub Issues, etc.). This includes: - Reading, creating, or updating issues in Linear/Jira/GitHub - Q...
Generate and track E2E test checklists with clear user/Claude separation. Users do manual UI actions, Claude runs automated verifications (DB, API, logs). Launches a Docker webapp for testing with screenshot up...
Collaborative plan review system with web UI. Use when entering plan mode or creating implementation plans. Enables users to view plans in browser, add inline comments by selecting text, and answer questions th...
Extended Linear operations - manage project milestones and download images from issues. Use for project phases (Alpha, Beta, Launch), milestone management, or extracting images/screenshots from issues. Triggers...
Break down a Claude Code plan into Linear sub-issues with E2E test criteria. Use when: user says "decompose", "break down plan", "create issues from plan", or after completing a plan that needs to be tracked in...
Build PRISMA 2020-compliant systematic literature review systems with RAG-powered analysis in VS Code. Use when researcher needs automated paper retrieval (Semantic Scholar, OpenAlex, arXiv), AI-assisted PRISMA...
Create tests that describe what legacy code actually does (not what it should do) as safety net before refactoring
Skills for legacy code analysis, explanation, and safe refactoring - mandatory workflows and search tools
Map dependencies and coupling in legacy codebase to understand what breaks when you change something and identify refactoring risks
Safely replace legacy system piece by piece by building new implementation around it, routing traffic gradually, like a strangler fig tree
Systematic techniques for reading and understanding unfamiliar legacy code without documentation
Transform markdown notes into engaging technical blog posts for both programmers and non-technical readers
Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context
TDD for process documentation - test with subagents before writing, iterate until bulletproof
Creating documentation from legacy code when none exists, focusing on what future maintainers need to know
驗證規格檔案的完整性與一致性,確保所有必要的規格元素都已定義且符合標準格式。
在單元測試通過後觸發。透過引入人工錯誤(Mutants)來「測試你的測試」,確保測試案例具有足夠的錯誤偵測能力,建立對驗證機制的信任(Trust the Verification)。
自動化代碼審查,檢查程式碼品質、架構合規性、編碼標準,並與規格定義進行比對。
進行代碼重構或新增模組時觸發。確保程式碼符合 Clean Architecture + DDD + CQRS 的層次關係,防止架構腐化。
當接收到新需求或 Event Storming 產出後觸發。分析問題類別(CBF/IDF/RIF),生成完整的規格目錄結構。實現「需求與實作分離」、「規格即文檔、文檔即規格」。
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