♻️ refactor: unify project naming to SkCC across all docs, comments, and configs

- README.md: SkillCompiler/NSC → SkCC, update citation to arXiv paper
- PROGRESS.md: Nexa Skill Compiler (NSC) → SkCC
- Cargo.toml: update description and repository URL
- docs/: all 15+ files unified to SkCC
- Rust source comments: lib.rs, main.rs, skill_ir.rs, etc.
- npm package: README, package.json repository URL
- VS Code extension: displayName, commands, status bar, diagnostics
- Preserved: crate names, npm package name, CLI binary 'nsc', VS Code command IDs

Author: ouyangyipeng

Cargo.toml

@@ -1,7 +1,7 @@
-# Nexa Skill Compiler (NSC) - Workspace Configuration
-# 
+# SkCC (Skill Compiler) - Workspace Configuration
+#
 # This is the root Cargo.toml that defines the workspace structure
-# for the Nexa Skill Compiler project.
+# for the SkCC project.
 #
 # Project: Industrial-grade Agent Skill Compiler
 # License: MIT
@@ -24,9 +24,9 @@ edition = "2024"
 rust-version = "1.85"
 authors = ["Nexa Dev Team <dev@nexa.ai>"]
 license = "MIT"
-repository = "https://github.com/nexa-org/nexa-skill-compiler"
-homepage = "https://nexa.ai"
-description = "Industrial-grade Agent Skill Compiler for transforming SKILL.md to platform-native formats"
+repository = "https://github.com/Nexa-Language/Skill-Compiler"
+homepage = "https://skcc.nexa-lang.com"
+description = "SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents"
 keywords = ["agent", "skill", "compiler", "llm", "markdown", "ai", "sop"]
 categories = ["compilers", "development-tools", "text-processing", "command-line-utilities"]
 

PROGRESS.md

@@ -1,12 +1,12 @@
-# Nexa Skill Compiler (NSC) - 开发进度追踪
+# SkCC - 开发进度追踪
 
-> **本文档记录 NSC 项目的开发进度、核心决策 (ADR) 和技术债务**
+> **本文档记录 SkCC 项目的开发进度、核心决策 (ADR) 和技术债务**
 
 ---
 
 ## 📋 项目概览
 
-- **项目名称**: Nexa Skill Compiler (NSC)
+- **项目名称**: SkCC (Skill Compiler)
 - **技术栈**: Rust (Edition 2024), pulldown-cmark, serde, clap, miette, askama, tokio
 - **目标**: 构建工业级 Agent 过程性知识 (SOP) 编译器
 - **开始时间**: 2026-04-03
@@ -294,8 +294,8 @@
   - Claude Code native binary host cache mount方案实现
 - Pilot测试(v2): 发现系统性网络问题(容器内pip/apt超时)，无法继续跑新数据
 - 最终分析报告完成:
-  - C vs V: p=0.0096**, NSC编译显著优于vanilla
-  - C vs O: p=0.0103*, NSC编译显著优于original
+  - C vs V: p=0.0096**, SkCC编译显著优于vanilla
+  - C vs O: p=0.0103*, SkCC编译显著优于original
   - O vs V: p=0.9756 ns, original与vanilla差异不显著
   - Compiled pass rate 33.3% > Original 21.1% > Vanilla 15.6%
   - Token效率: Compiled每任务0.65M tokens获得0.378 reward