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bwelker
GitHub 제작자 프로필

bwelker

1개 GitHub 저장소에서 수집된 21개 skills를 저장소 단위로 보여줍니다.

수집된 skills
21
저장소
1
업데이트
2026-07-03
저장소 지도

skills가 있는 위치

수집된 skill 수가 많은 주요 저장소와 이 제작자 카탈로그 내 비중, 직업 분포를 보여줍니다.

저장소 탐색

저장소와 대표 skills

decision-ledger
프로젝트 관리 전문가

Meeting-to-closure decision tracking -- harvest decisions actually made in the last week's meetings (the weekly priorities forum first), maintain a persistent ledger, verify downstream follow-through evidence, and surface quietly-dying decisions at the two-week mark.

2026-07-03
devils-advocate
프로젝트 관리 전문가

Monthly red-team pass over the user's active big bets -- build the strongest evidence-backed case AGAINST each position they're invested in (steelman opposition, not strawman compliance), ending each bet with an honest KILL / HEDGE / PROCEED-EYES-OPEN verdict.

2026-07-03
kg-curation
소프트웨어 개발자

Weekly knowledge-graph curation loop -- freshness sweep against the week's reality, stale-edge invalidation, pending-merge queue drain, and org-chart temporal completeness against your authority model.

2026-07-03
pm-weekly-triage
프로젝트 관리 전문가

PM Weekly Triage

2026-07-03
pre-decision-brief
프로젝트 관리 전문가

Decision radar + dossier generator -- detect decisions approaching the user in the next few days and build evidence-backed dossiers (prior positions, stakeholder map, constraining commitments, what it gates) before the moment arrives.

2026-07-03
reply-drafts
일반 사무원

Draft-first email posture -- high-priority emails and key-contact unreplied threads arrive each morning WITH a reply already drafted in the user's voice. The user edits-and-sends or discards instead of starting cold. Drafts only, never sends.

2026-07-03
self-retro
프로젝트 관리 전문가

Weekly self-retrospective -- grade Edwin's own performance against a fixed rubric, re-score past lessons for behavioral gain, and land corrections as mechanical checks or harness diffs (prose memory as fallback)

2026-07-03
self-study
기타 중등 후 교사

Corpus distillation -- pick one high-value stable corpus, generate a synthesis study file (narrative, current state, key decisions, anticipated Q&A with citations) into memory/distilled/ so retrieval can answer multi-hop questions that chunk retrieval misses.

2026-07-03
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