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Mobile development knowledge reference covering iOS (SwiftUI), Android (Jetpack Compose), React Native, and Flutter. Use when building mobile apps, working with cross-platform frameworks, or implementing native UI patterns.
AI-automated hardware product pipeline: from requirements to manufacturable Gerber + compiled firmware + cross-platform app. Orchestrates system design, ESP-IDF firmware, KiCad PCB, UniApp client, and release packaging in a zero-human-touch flow.
KiCad EDA orchestration via kicad-mcp MCP server. Routes 17 tools for schematic creation, PCB layout, autorouting, DRC, and Gerber export. Enforces serialized PCB ops, library-first lookup, and autoroute-only routing.
Systematically reduce AIGC detection rates in academic papers (Chinese/English). Analyzes detection reports, identifies high-impact sections, applies multi-layer rewriting strategies preserving formatting/footnotes, and verifies results. Supports 维普/知网/Turnitin platforms.
AI agent and LLM system engineering reference covering single-agent dev (ReAct, tool calling, plan-execute), multi-agent coordination (swarm, role decomposition, file locking), LLM security (prompt injection, jailbreak defense, output filtering), RAG architecture (chunking, hybrid retrieval, rerank), and prompt engineering / evaluation (RAGAS, LLM-as-Judge). Use when building AI agents, designing RAG pipelines, orchestrating multi-agent workflows, hardening LLM apps, or writing prompts.
Multi-agent adversarial-verification orchestration for high-confidence conclusions. Fan-out finders, then verify every finding through a three-prism panel (exploitability / correctness / refutation) that defaults to disbelief, gate fixes behind load-bearing proof tests that catch agents who falsely claim "done/fixed", and roll out behind a build-first exit-code guard. Use when a fan-out task must produce trustworthy results — security audit, code review, research synthesis, migration — and a single agent's self-report cannot be trusted. Composes with securing-systems (what to look for) and shipping-changes (change closed loop); orchestration engine is the Workflow tool.
End-to-end change-shipping closed loop for non-trivial work — research → proposal doc → phased guarded implementation → PR self-review → harden → merge. Use when taking a substantial change from idea to merged PR, when a task needs a written proposal before code, when implementing in reversible phases behind a guarded commit chain (assert + test + verify, all green before commit), or when self-reviewing your own PR. Complements automating-devops (which is the git/CI/release knowledge reference); this skill is the orchestration spine that sequences a change from zero to merged.
| name | developing-mobile-apps |
| description | Mobile development knowledge reference covering iOS (SwiftUI), Android (Jetpack Compose), React Native, and Flutter. Use when building mobile apps, working with cross-platform frameworks, or implementing native UI patterns. |
| user-invocable | false |
原生：iOS(SwiftUI/UIKit) | Android(Compose/Kotlin)
跨平台：React Native(TS) | Flutter(Dart)
SwiftUI 优先 | @MainActor 线程安全 | async/await | 依赖注入 | LazyVStack | Keychain 存敏感 | ViewModel 单测+Mock
Compose 优先 | StateFlow 替代 LiveData | Hilt 注入 | Room 持久化 | key 优化 LazyColumn | remember 防重组 | ViewModel 单测(runTest)
列表优化(FlatList/ListView.builder+key) | 状态管理(RTK/Riverpod) | 原生桥接验证 | 冷启动<1.5s | 渲染>55fps
Web 背景→RN | 极致动画/UI 定制→Flutter | 大量原生交互→RN | 极致原生体验→原生
SwiftUI/Compose/RN/Flutter API 详情详见 references/details.md