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GitHub リポジトリ

bearly

bearly には beorn から収集した 11 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。

収集済み skills
11
Stars
3
更新
2026-07-04
Forks
0
職業カバレッジ
4 件の職業カテゴリ · 100% 分類済み
リポジトリエクスプローラー

このリポジトリの skills

fresh
ソフトウェア開発者

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

2026-07-04
big
ソフトウェア開発者

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

2026-06-27
why
ソフトウェア開発者

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

2026-06-27
batch-refactor
ソフトウェア開発者

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
マネジメントアナリスト

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

2026-05-30
checkpoint
ソフトウェア開発者

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

2026-05-29
discuss
ソフトウェア開発者

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

2026-05-29
eli5
研修・人材開発スペシャリスト

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

2026-05-29
llm
データサイエンティスト

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
ソフトウェア開発者

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
ソフトウェア開発者

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

2026-03-25