claude-skins
Reduces cognitive load in code review sessions by organizing tool outputs visually with icons, diffs, and charts.
Skins for Claude Code: tool rows with icons, diff, table and Mermaid chart cards, a usage band and fifteen themes. /skin swaps them live.
- Generate code diffs with visual formatting to review changes before committing
- Display structured data in formatted tables within Claude conversations seamlessly
- Switch between fifteen themes to match your team's design system or preference
Reduces cognitive load in code review sessions by organizing tool outputs visually with icons, diffs, and charts. Enables teams to switch themes for accessibility or fatigue reduction without context switching.
Development teams using Claude Code for collaborative code reviews and extended debugging sessions requiring visual clarity.
https://github.com/hellosverre/claude-skins
By hellosverre
How to Get It
claude plugins install hellosverre/claude-skins
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate code diffs with visual formatting to review changes before committing
Trust Signals Auto-scanned
Community Pulse Emerging
Discussed on Hacker News
- Show HN: A simple Claude skin for ChatGPT — Hacker News · 7 pts
- Show HN: Claude Code Remote – Access Claude Code from Your Phone — Hacker News · 3 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 154 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 154 GitHub stars; contributors unknown; last commit 0d ago; license MIT.