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Problem
Vecinita s chat currently uses a base LLM served via vLLM on Modal (infra/modal/llm_app.py, ADR-009). The model is not
adapted to the tenant-rights/immigration domain or to the specific language, ...
app:infra
enhancement
Summary
ラン1本の splits(1km lap)から、最速の連続 N-km セグメントをスライディングウィンドウで抽出し、各距離バケット(2/5/10km)について Daniels の performance VDOT
を算出する純粋ロジックモジュールを新設する。既存 VDOTCalculator.vdot_from_race() を再利用し、DB/IO を持たない pure function ...
design-approved
sub-issue
Goal
유저 본인이 작성한 상품 문의글을 삭제할 수 있어야 한다.
Scope
해당 기능에 대한 controller, service 메소드를 추가해야하며 필요시 repository 메소드 및 req/res dto를 생성해야한다. DB 내 N+1 이슈를 듣는다. Automation Test를
구현해야하며, service에 대한 unit test, controller ...
Problem
Ingest today scrapes a single URL at a time. Onboarding a content source (e.g. a tenant-rights org s website) requires
manually enumerating every page. There is no way to point ingest at a root ...
app:admin
app:infra
enhancement
Problem
The data-management frontend currently lists corpus documents and ingest results in flat list/table views
(CorpusList.tsx, CorpusPage.tsx). When a single ingest job produces many documents — especially ...
app:admin
enhancement
Problem
The current ingest scraping logic in packages/ingest/vecinita_ingest/scrape.py is a minimal single-page HTML fetch +
text extractor (HTMLParser stripping script/style, collecting text). It is ...
app:admin
app:infra
enhancement
Rewrite agents/war-refiner.md: inputs gain refinery + task worktree paths; merge-task = rebase in task worktree → gate →
merge in _refinery → push; land-phase = detached in _refinery at origin/ working ...
phase:3
run:clandiso-0625
task
Wire _refinery into skills/war/assets/workflow-template.js: barrier provisions _refinery (ensure-refinery-worktree after
ensure-integration); merge-task rebases in task worktree then merges in _refinery; ...
phase:3
run:clandiso-0625
task
Summary
plan-training は現状 daily_wellness を一切参照しない。当日の個人ベースライン逸脱(#555 の get_wellness_baseline_deviation:HRV が個人帯を下回る or RHR
上昇)を消費し、生成プラン先頭週の質ワークアウト(tempo/threshold/interval/repetition)を easy/recovery ...
design-approved
sub-issue
Summary
体重トレンドに易しいランの EF(および HR-at-fixed-pace 代理)を重畳表示し、回帰の effect size(例「約5kg減 → +0.0022 EF」)と共線フラグ由来の association 注記を併記する Web
ビューを追加する。既存 BodyCompositionChart と同じ薄い委譲パターン(frontend api → backend route ...
design-approved
sub-issue

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