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spellbook

Skill Productivity Usable

Cross-runtime skills for Claude Code, Codex, and multi-agent workflows.

186 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Standardizes reusable skill definitions across multiple AI code execution environments, reducing duplication and enabling consistent behavior in multi-agent systems where different runtimes handle distinct tasks.

Teams deploying Claude Code alongside other AI agents and requiring unified skill APIs across heterogeneous runtime environments.

Claude Code Claude Cowork Claude Chat

https://github.com/majiayu000/spellbook

By majiayu000

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install majiayu000/spellbook

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars186Last updated2026-06-05LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-05 · scanner v1

Community Pulse Growing

Discussed on Hacker News

10 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 186 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 186 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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