skill-improver
This skill should be used when the user asks to "apply skill improvements", "update skill from plan", "execute improvement plan", "fix skill issues", "implement skill recommendations", or mentions applying improvements from quality review reports. Reads improvement-plan-{name}.md files generated by skill-quality-reviewer and intelligently merges and executes the suggested changes to improve Claude Skills quality.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill skill-improver --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Skill Improver Execute improvement plans generated by `skill-quality-reviewer` to automatically update and fix issues in Claude Skills. ## Core Workflow ``` Read improvement-plan-{name}.md ↓ Parse improvement items (High/Medium/Low priority) ↓ Group changes by file ↓ Detect and resolve conflicts ↓ Backup original files ↓ Execute updates (Edit or Write tools) ↓ Verify results ↓ Generate update-re
What does the skill-improver skill do?
This skill should be used when the user asks to "apply skill improvements", "update skill from plan", "execute improvement plan", "fix skill issues", "implement skill recommendations", or mentions applying improvements from quality review reports. Reads improvement-plan-{name}.md files generated by skill-quality-reviewer and intelligently merges and executes the suggested changes to improve Claude Skills quality.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill skill-improver --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.