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Install
$ agentstack add skill-kanfu-panda-pdlc-skills-pdlc-retro ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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PDLC 迭代复盘
读取 docs/.pdlc-state/ 下的状态机历史,按时间范围聚合,生成趋势复盘报告。
段一:聚合统计
1.1 参数解析
--range d | all:时间窗口(默认30d)--feature:只看单个功能的时间线(输出 history 详情而非聚合)
1.2 读取与过滤
- 列出
docs/.pdlc-state/*.json - 按
created_at字段过滤到时间窗口内 - 解析每份文件的
history数组
1.3 计算指标
对时间窗口内的所有功能聚合:
交付量:
- 完成功能数(
current_stage在[feature_done, fix_done]) - 修复缺陷数(
feature_id以B开头)
质量趋势:
- 每阶段自检通过率(
passed / (passed + failed + manual)) - 各阶段自检平均
failed、manual数
阶段耗时:
- 相邻 history 条目的
done_at差值作为阶段耗时 - 输出各阶段中位数
卡点案例:
- 自检
failed > 2或manual > 1的阶段 - 同一阶段耗时 > 3 天的功能
段二:自检
复盘报告自检清单:
- [ ] 时间窗口正确(参数解析无误)
- [ ] 数值可加总(交付量、质量趋势)
- [ ] 列出了至少 1 个卡点案例或明确说明"无卡点"
段三:生成报告文件
- 确定输出路径:
docs/07_reviews/retro/-retro.md(按当月归档) - 写入模板:
# PDLC 迭代复盘
> 时间窗口: ~
> 生成时间:
## 交付量
- 完成功能: 个
- 修复缺陷: 个
## 质量趋势
| 阶段 | 自检通过率 | 平均失败数 | 平均人工介入数 |
|------|----------|------------|--------------|
| requirements | XX% | N.N | N.N |
| design | XX% | N.N | N.N |
| tdd | XX% | N.N | N.N |
| impl | XX% | N.N | N.N |
| review | XX% | N.N | N.N |
## 阶段耗时中位数
- 需求: X.Xh 设计: X.Xh TDD: X.Xh 实现: X.Xh 评审: X.Xh
## 卡点案例
- 在 阶段:
## 值得保留的做法
-
- IRON LAW 落盘:文件必须实际写入磁盘,不可仅在对话中输出
段四:交接
本命令的 handoff 输出:
✅ 复盘报告已生成:docs/07_reviews/retro/-retro.md
📊 时间窗口: ~ ,共 个功能
👉 下一步:(本次流程结束,建议人工 review 报告)
参数:$ARGUMENTS
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: kanfu-panda
- Source: kanfu-panda/pdlc-skills
- License: MIT
- Homepage: https://kanfu-panda.github.io/pdlc/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.