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GitHub 저장소

bearly

bearly에는 beorn에서 수집한 skills 11개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
11
Stars
3
업데이트
2026-07-04
Forks
0
직업 범위
직업 카테고리 4개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

fresh
소프트웨어 개발자

When stuck on a specific problem, stop coding, gather context, and ask /deep or /pro for a fresh perspective.

2026-07-04
big
소프트웨어 개발자

Reframe recurring or wrong-shaped problems into a design where the bug cannot happen.

2026-06-27
why
소프트웨어 개발자

Run 5 Whys plus /big reframing to trace a symptom to structural root cause before fixing.

2026-06-27
batch-refactor
소프트웨어 개발자

Batch operations across files with confidence-based auto-apply. Use for renaming, search-replace, refactoring code, updating text/markdown, migrating terminology, and API migrations. Run `bun tools/refactor.ts --help` for detailed command reference.

2026-06-20
csw
경영 분석가

Analyze a decision end-to-end: gather context, compare options, score tradeoffs, and present one clear recommendation.

2026-05-30
checkpoint
소프트웨어 개발자

Save active session context, git state, recent commits, and next steps to one tracking issue before compaction or handoff.

2026-05-29
discuss
소프트웨어 개발자

Pause implementation for architecture or understanding discussion, checkpoint context, then resume with captured decisions.

2026-05-29
eli5
교육·개발 전문가

Explain current work plainly for a teammate without recent context, defining mechanisms and removing task-specific shorthand.

2026-05-29
llm
데이터 과학자

Multi-LLM research with deep research, second opinions, and multi-model debate. Use for second opinions from other AI models, deep research with web search, building consensus across models, or escaping single-model blindspots.

2026-05-22
batch-refactor
소프트웨어 개발자

Batch operations across files with confidence-based auto-apply. Use for renaming, search-replace, refactoring code, updating text/markdown, migrating terminology, and API migrations. Run `bun tools/refactor.ts --help` for detailed command reference.

2026-04-10
llm
소프트웨어 개발자

Multi-LLM research — deep research, second opinions, and multi-model debate. Use when user says /llm.

2026-03-25