mcpbeat

dgk-dev Skills

6 skills published by dgk-dev across 1 repository. Together they weigh 5 183 tokens — that is what loading all of them at once would cost you in context.

6 skills 5 183 tokens total

Cp
dgk-gpt

Local verify-commit-push wrapper for Codex. Use only when the user explicitly says `/cp` or clearly asks to finish the current work by running the relevant local checks, staging intended files explicitly, committing on the current branch, and pushing. This workflow may commit directly to `main` or `master` when that is the repo's chosen operating model.

742 tokens
Fd
dgk-gpt

Frontend design mode for strong visual direction, UI polish, redesigns, landing pages, and production-grade interface work, including shadcn-based surfaces. Use when the user says `/fd` or explicitly asks for better design, styling, layout, visual quality, or UX polish.

2k tokens
Ralph
dgk-gpt

Persistent completion mode. Use when the user explicitly says `/ralph` or clearly wants you to keep iterating until the task is actually finished, repeating implement-verify-fix loops instead of stopping at partial progress.

326 tokens
Re
dgk-gpt

Explicit extra-research mode. Use only when the user says `/re` or clearly asks for a research-heavy pass before coding. This skill should bias Codex toward more source-checking and justification without replacing its normal orchestration.

618 tokens
Rr
dgk-gpt

코드 리뷰. 작업 후 변경사항을 Z.AI 모델로 검토하고, Codex가 결과를 다시 검증해 유효한 이슈만 정리한다. /rr 또는 'GLM 리뷰' 요청 시 사용.

672 tokens
Rrr
dgk-gpt

GLM-5 코드 리뷰. /rr의 상위 버전으로 더 강한 모델로 변경사항을 검토하고, Codex가 결과를 다시 검증해 유효한 이슈만 정리한다.

599 tokens