I counted every skill my AI invoked across 55 sessions. Here’s the leaderboard.

说明与用途

作者统计了在开发ParkEase的55个会话中每个AI技能的调用次数，发现工作流路由器、设计技能和安全检查是最常用的，而测试驱动开发虽然调用次数少，却生成了数千个测试，显示出高影响力。

问题

Determine which installed AI skills actually contributed most during development of ParkEase.

结果

The workflow router (‘flow’) was invoked 28 times, the most of any skill, followed by design skills and safety nets. Test‑driven development, though invoked only 4 times, produced 3,246 unit tests and 1,080 integration tests, showing high impact. The study informs which skills to prioritize when starting a new project.

工作流

• 1. Gathered all 55 ParkEase sessions (10 Sep–19 Oct).
• 2. Searched Claude Code transcripts for explicit skill invocations.
• 3. Counted invocations per skill.
• 4. Compiled leaderboard table.
• 5. Analyzed surprising patterns and impact.
• 6. Listed recommended skills for future projects.

证据

I searched all 55 ParkEase sessions (10 September to 19 October) for every time the agent explicitly invoked a skill.

来源

The router came first. <code>flow</code> doesn't write a line of code. It decides which other skills run.

来源

Only 4 explicit calls, because it was loaded once per build phase and stayed loaded. Its output, 3,246 unit tests and 1,080 integration tests, is the clearest proof that invocation counts undersell the skills that stick.

来源