Daleseo

This skill checks Korean text for spelling, spacing, grammar, and punctuation, explains corrections and teaches underlying rules.

This skill helps you migrate Node.js projects to Bun by analyzing dependencies, updating configs, and validating compatibility across tooling.

This skill initializes a Bun project with TypeScript and optimal defaults, guiding setup for CLI, web, API, or library projects.

Modern Git command best practices for AI agents. Use modern, purposeful commands introduced in Git 2.23+ instead of legacy multi-purpose commands. Teaches when to use `git switch` (branch operations), `git restore` (file operations), and other safer alternatives to improve clarity and reduce errors.

This skill helps you create optimized production bundles with Bun's native bundler, improving performance and simplifying multi-environment builds.

This skill helps you set up a high-performance Bun development server with hot module replacement and React Fast Refresh for frontend, API, or full-stack apps.

This skill helps you configure Bun's built-in test runner with Jest-compatible APIs, enabling faster, scalable unit, integration, and snapshot testing.

This skill assists migrating Cloudflare Workers to Bun by analyzing compatibility, converting APIs, and mapping bindings for server deployments.

This skill guides migrating Deno projects to Bun by mapping APIs, updating config, and aligning with Bun's runtime and import behavior.

Collaboration workflows for team-based Git development. Covers pull request workflows, merge vs rebase strategies, conflict resolution, code review practices, and branch protection. Helps AI agents follow team conventions and collaborate effectively.

Best practices for creating high-quality Git commits. Covers commit message conventions (Conventional Commits), atomic commits, staging strategies, and when to amend vs create new commits. Helps AI agents generate clean, meaningful commit history.

This skill converts AI-generated Korean text into natural human-like writing by detecting patterns and preserving meaning.

Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural mono