awesome-korean-agent-skills
Provides 400+ pre-built prompts and skill patterns optimized for Korean language contexts, reducing development time when building AI agents that need to undβ¦
π°π· 400+ Korean AI Coding Agent Skills β Claude Code, Gemini CLI, Codex, Cursor μ€ν¬μ κΈ°λ₯λ³λ‘ λͺ¨μ νλ μ΄μ
- Korean code documentation generation for internal engineering teams
- Automated Korean technical writing for API specs and guides
- Cursor IDE skill enrichment for Korean development workflows
Provides 400+ pre-built prompts and skill patterns optimized for Korean language contexts, reducing development time when building AI agents that need to understand or generate Korean code documentation and business logic.
Korean-speaking development teams and companies using Claude, Gemini, or Cursor who want templated agent behaviors without building prompts from scratch.
https://github.com/J-nowcow/awesome-korean-agent-skills
By J-nowcow
How to Get It
claude plugins install J-nowcow/awesome-korean-agent-skills
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 korean code documentation generation for internal engineering teams
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Reddit
- β[Korean] fans are very passionate, just as passionate as Philly fans And they d β Reddit Β· 493 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 26 GitHub stars; 2 contributors; last commit 0d ago; license CC0-1.0.
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 β
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): 26 GitHub stars; 2 contributors; last commit 0d ago; license CC0-1.0.