https://blog.chuanxilu.net/en/tags/skill-design/Recent content in Skill Design on Chuanxilu for Skilled Homo sapiensHugoen-USThu, 21 May 2026 11:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/05/tdd-pipeline-phase7-invisible-gap/Thu, 21 May 2026 11:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/05/tdd-pipeline-phase7-invisible-gap/Phase 6 drills every bug to root cause. But it doesn't scan for shared patterns across bugs, unchecked component gaps, or execution order flaws. That's Phase 7's job. In small systems it catches more bugs. In large systems, the same findings point to architectural evolution. Phase 7 doesn't make architecture decisions — it provides the scarcest input for them: evidence-based problem localization.https://blog.chuanxilu.net/en/posts/2026/05/tdd-pipeline-v07-refinement-experiment/Wed, 20 May 2026 10:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/05/tdd-pipeline-v07-refinement-experiment/I built a ruler. The ruler measured 'redundancy is harmful.' Then I used that ruler to trim the ruler's own redundancy. I deleted the operational steps from my AI skill files, keeping only principles and counterexamples. The model reconstructed the deleted steps on its own — output quality didn't drop.https://blog.chuanxilu.net/en/posts/2026/05/tdd-pipeline-v08-failed-experiment-discovery/Tue, 19 May 2026 18:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/05/tdd-pipeline-v08-failed-experiment-discovery/I tried refining the pre-release testing phase of my TDD Pipeline by replacing step-by-step instructions with principles. The refined version failed at its core job. But comparing where it failed against where it unexpectedly succeeded revealed that individual defect diagnosis alone wasn't enough — it needed a systematic scanning layer on top.