The reflection workflow

Turn one hard-won AI session into reusable instructions, skills, memories, or settings so the next similar task starts further ahead.

Perhaps the most powerful technique I have found. When you encounter a new type of task:

Push Claude Code to its best. Work through the task iteratively.
Do not delete the session history. The full history is essential for what comes next.
Ask Claude Code to reflect:

Reflect on this entire session. Is there anything you
should save as a skill, a memory, or a setting change
so that next time we do this, it goes faster?

Claude Code will then create reusable artifacts — skills, memories, or configuration changes. The first time you do a task with AI might not save time. The second time, it will. For more on creating skills, see this walkthrough.

I have built a dedicated reflection skill that automates this process. Install it with:

mkdir -p ~/.claude/skills/reflection && \
curl -o ~/.claude/skills/reflection/SKILL.md \
  https://gjiang-economics.github.io/skills/reflection.md

Then at the end of any session, type /reflection.