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GitHub 저장소

fairy_tale

fairy_tale에는 bonginkan에서 수집한 skills 4개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
4
Stars
18
업데이트
2026-07-18
Forks
3
직업 범위
직업 카테고리 4개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

fairy-tale
기타 컴퓨터 관련 직업

Fable/Mythos workflow harness for E3 complexity-aware minimum-sufficient execution, loop/spiral engineering, double-helix learning loops, evolutionary spirals, job automation, agent handoffs, silent-loop auto-resume, do-not-disturb windows, usage-aware multi-agent load balancing, closure checks, negative-space discovery, excess/redundancy/legacy-surface review, finance proposal completeness, e2e completion, GUI dogfood QA, creator-proxy WWCD elaboration, migration, research synthesis, benchmark/legal reasoning, UI design best practices, UI/3D/creative work, token-consumption optimization (memoization), mechanism discovery, and defensive security process design.

2026-07-18
fairy-tale-benchmark-feedback
소프트웨어 개발자

Apply measured benchmark feedback from SWE-Bench Pro, HLE-style closed-ended tasks, and defensive ExploitBench runs: classify misses, add narrow reusable rules, prune contradictions, and retry held-out samples without benchmark-specific hardcoding.

2026-07-16
japanese-wordplay-humor-detection
기술 작가

日本語の言葉遊び(縦読み・折句・ダジャレ・回文・アナグラム・もじり・替え歌)と日本的ユーモア(ボケ/ツッコミ・天丼・緊張と緩和・パロディ・自虐等)を体系的に検出・分類する。「縦読みして」「この文に仕掛けある?」「ダジャレ拾って」「ユーモアを分析して」等で発動。抽出した読みが実在し有意であることを必ず verbatim で確認してから報告する。

2026-07-02
fairy-tale-legal-feedback
변호사

Apply evaluated legal benchmark feedback, closure sweeps, and Fairy Fusion review to reduce one-miss and large-collapse failures in legal drafting, review, issue spotting, and form/calculation tasks.

2026-06-14