什么是 plan-gap-analysis?
分析 Rust 自学习记忆项目的实施计划与实际代码库实施之间的差距 来源:d-o-hub/rust-self-learning-memory。
分析 Rust 自学习记忆项目的实施计划与实际代码库实施之间的差距
通过命令行快速安装 plan-gap-analysis AI 技能到你的开发环境
来源:d-o-hub/rust-self-learning-memory。
Analyze gaps between documented plans in plans/ and actual implementation.
| UNDERSTAND | Data structures, type definitions | | PLAN | Architectural decisions, success metrics | | EXECUTE | Storage, learning, MCP features | | REVIEW | FR1-FR7, NFR1-NFR6 tests | | SECURE | Attack surfaces, mitigations | | FEEDBACK | Edge cases, optimizations |
✓ Be systematic: Check every requirement ✓ Be specific: Reference exact file locations ✓ Be accurate: Verify, don't assume ✓ Be prioritized: Critical > High > Medium > Low ✓ Be actionable: Include file paths and estimates
分析 Rust 自学习记忆项目的实施计划与实际代码库实施之间的差距 来源:d-o-hub/rust-self-learning-memory。
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/d-o-hub/rust-self-learning-memory --skill plan-gap-analysis分析 Rust 自学习记忆项目的实施计划与实际代码库实施之间的差距 来源:d-o-hub/rust-self-learning-memory。
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/d-o-hub/rust-self-learning-memory --skill plan-gap-analysis 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/d-o-hub/rust-self-learning-memory