| name | athena-migrate |
| description | Athena 版本迁移工具. 含 v9.6.2 → v9.6.4 破坏式重构 (sprints/ + compound/ + lessons.md 三选项交互).
v9.7.0: 由 deprecated prompts/ 迁为 skill; 修 Step 7 跨端命令残留 (node ~/.claude/… → python3 ~/.codex/hooks/…).
|
| effort | medium |
/athena-migrate — Athena 版本迁移 (Codex, v9.7.0)
当前支持迁移
| 来源 → 目标 | 难度 | 破坏性 |
|---|
| v9.6.2 → v9.6.4 | 中 | 破坏式 (lessons.md 需用户选择) |
| v9.6.4 → v9.7.0 | 低 | 非破坏 (覆盖配置文件 + 删 prompts/, .ai_state 数据结构不变) |
工作流 (v9.6.2 → v9.6.4)
Step 1: 检测与备份
version=$(grep -oP 'version:\s*"\K[\d.]+' .ai_state/_index.md || echo "unknown")
echo "Current: $version"
backup_dir=".ai_state.backup-$(date +%Y%m%d-%H%M%S)"
cp -r .ai_state "$backup_dir"
echo "✓ 备份: $backup_dir"
Step 2: 建新目录骨架
mkdir -p .ai_state/sprints
mkdir -p .ai_state/roadmap
mkdir -p .ai_state/architecture
mkdir -p .ai_state/compound
Step 3: 旧 details/ 迁移
if [ -d .ai_state/details ]; then
legacy_slug="$(date +%Y-%m-%d)-legacy-v962-merge"
mkdir -p ".ai_state/sprints/${legacy_slug}/reviews"
[ -f .ai_state/details/design.md ] && mv .ai_state/details/design.md ".ai_state/sprints/${legacy_slug}/"
for f in .ai_state/details/reviews/sprint-*.md; do
[ -f "$f" ] || continue
N=$(basename "$f" | sed 's/sprint-\(.*\)\.md/\1/')
mv "$f" ".ai_state/sprints/${legacy_slug}/reviews/pass${N}.md"
done
cleanup_files=(.ai_state/details/cleanup-pass-*.md)
if [ ${#cleanup_files[@]} -gt 0 ]; then
cat .ai_state/details/cleanup-pass-*.md > ".ai_state/sprints/${legacy_slug}/cleanup-pass.md" 2>/dev/null
fi
mv .ai_state/details/* ".ai_state/sprints/${legacy_slug}/" 2>/dev/null
rmdir .ai_state/details
echo "✓ details/ → sprints//"
Step 4: lessons.md 破坏式重构 (用户三选项交互)
主 agent 必须询问用户:
检测到 v9.6.2 → v9.6.4 迁移. lessons.md ($(wc -l < .ai_state/lessons.md) 行) 处理选项:
[1] 整体保留为单文件:
→ compound/$(date +%Y-%m-%d)-learning-legacy-v962-migration.md
(推荐: 保留全部历史, 但不分类 doc_type)
[2] 手工逐段拆分:
→ 我引导你, 每段你分类为 learning/trick/decision/explore
(推荐: 分类后好搜, 但花时间)
[3] 全部丢弃:
→ 删除 lessons.md, compound/ 从空开始
(注意: 历史经验丢失. 仅当 lessons.md 全是过时垃圾时选)
选 [1/2/3]:
选项 1: 整体保留
today=$(date +%Y-%m-%d)
mv .ai_state/lessons.md ".ai_state/compound/${today}-learning-legacy-v962-migration.md"
选项 2: 手工拆分
主 agent 读 lessons.md, 按段询问用户:
段落 1: "useEffect 依赖项漏掉导致无限循环..."
分类: [1=learning, 2=trick, 3=decision, 4=explore, s=skip, q=quit]
> 1
slug (kebab-case): useeffect-deps-infinite-loop
✓ 写入 compound/{date}-learning-useeffect-deps-infinite-loop.md (从 templates/learning.md)
每段独立一个 compound 文件, 主 agent 引导填模板字段.
选项 3: 全部丢弃
echo "⚠️ 确认删除 lessons.md? 备份在 ${backup_dir}/lessons.md 仍可恢复. (y/N)"
read confirm
[ "$confirm" = "y" ] && rm .ai_state/lessons.md
Step 5: _index.md frontmatter 升级
主 agent 读旧 _index.md, 与新模板合并 (老字段保留 + 新字段填默认值), 提示用户审阅.
Step 6: 删除旧模板文件
rm -f .ai_state/lessons.md
echo "✓ 旧文件清理"
Step 7: 验证
python3 ~/.codex/hooks/index-updater.py
ls .ai_state/sprints/
ls .ai_state/compound/
echo "✓ 迁移完成"
echo " 备份: ${backup_dir}"
echo " 如需回滚: rm -rf .ai_state && mv ${backup_dir} .ai_state"
工作流 (v9.6.4 → v9.7.0, 非破坏)
rm -rf ~/.codex/prompts
不向后兼容的破坏式改动 (v9.6.2 → v9.6.4 历史)
| 改动 | 影响 |
|---|
details/ → sprints/{date}-{slug}/ | 旧路径全失效 |
lessons.md → compound/{date}-{type}-{slug}.md | 旧引用全失效 |
_index.md.current_sprint = N (数字) → current_sprint_slug = "..." (字符串) | hook + skill 全改 |
_index.md.lessons_count → counts.compound.{type} | 4 个分类计数 |
_index.md 新增 8 字段 (current_roadmap_slug / next_action / last_subagent / 等) | 老 frontmatter 不全, 需补 |
| 铁律 12 内容变 (subagent 始终用 + worktree 大功能强制) | 用户使用习惯需调整 |
回滚
迁移失败 / 不满意:
rm -rf .ai_state
mv .ai_state.backup-{timestamp} .ai_state
echo "✓ 已回滚"
注意
- ⚠️ 破坏式迁移仅运行一次, 完成后再次运行会跳过 (检测
_index.md.version 字段)
- ⚠️ 主 agent 必须用 xhigh 处理破坏式迁移 (复杂度高)
- ⚠️ 选项 2 (手工拆分) 长度: 若 lessons.md > 200 行, 估算 30+ 分钟交互
- ✅ 备份永远不删除 (除非用户明确说删)
