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개인 어휘 그래프 — 한↔영 크로스링귀얼 쿼리 확장 + 한국어 형태소 분석. expand로 한글 단어에서 영어 태그 후보를 찾고, stem으로 한국어 어간을 추출한다. knowledge_search의 3층 역할. '단어 확장', '태그 찾기', '한영 매핑', 'expand', 'stem', '형태소'.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use tmux instead of bash tool to run commands that take more than ~30 seconds, like bulk operations, db migrations, dev servers.
Google Workspace + Search Console all-in-one CLI (gog). Calendar, Gmail, Drive, Tasks, Chat, Contacts, Sheets, Docs, Search Console, YouTube, Photos, Meet, and more. Single binary. Source: steipete/gogcli (upstream).
GLG의 시간축 관측소 (범용 스킬) — 어느 세션·리포에서든 GLG의 하루를 깊이 0/1/2/3(시간블록·저널헤딩·에이전트스탬프·커밋/노트)으로 한 KST 축 위에 세운다. scripts/collect.py로 LOCAL FULL(events.jsonl, 로컬·gitignore)을 만들고 query.py로 꺼낸다. 스크립트는 HOME 앵커(~/repos·~/org·lifetract·agenda)라 CWD와 무관하게 돈다. 이 스킬을 읽지 않고 축을 건드리면 계약을 다시 도출하다 틀린다 — 고정 KST, 반개방 [from,to), 자정은 시작일 귀속, 0건은 ok가 아니다, sqlite를 직접 열지 않는다, 코멘트는 어떤 projection에도 나가지 않는다. Triggers: timeline, 관측소, 시간축, 깊이 0, depth axis, collect.py, query.py, events.jsonl, LOCAL FULL, 하루 slice, 주간 판독, 도메인 분포, projection, 표현, 증거, provenance, 커밋 수, 저널 일수, 사실 확인.
Incrementally embed sessions only — near-live. On call, new sessions land in semantic-memory immediately. OpenRouter Qwen3-Embedding-8B 4096d, paid remote but ~$0.000–0.001 for a few recent sessions. dim 4096 preflight → API-0 exit when to_index=0. Use before a new session or when recent-session recall feels stale. '/memory-sync', 'memory sync', 'session embedding', '세션 임베딩', '세션 증분', '기억 최신화'.
Semantic search over past sessions (pi + Claude Code) and the public digital garden md index (andenken md.lance, OpenRouter Qwen3-Embedding-8B 4096d). Uses LanceDB + hybrid retrieval (vector + FTS with score normalization). Korean↔English cross-lingual via dictcli expand. Recall tracking for memory consolidation. Use when searching for past conversations, decisions, context, or garden knowledge concepts.
Emacs daemon — org manipulation, denote notes, citar bibliography, org-agenda, arbitrary elisp. Two sockets: server (agent work), user (show file to user). Core: agent-denote-add-history(ID,CONTENT), agent-denote-add-heading(ID,TITLE,BODY) or (ID,TITLE,TAG,BODY) — no tag? body as 3rd arg. Never pass nil. agent-denote-add-link(ID,TARGET-ID,DESC). All 3 args required.
| name | dictcli |
| description | 개인 어휘 그래프 — 한↔영 크로스링귀얼 쿼리 확장 + 한국어 형태소 분석. expand로 한글 단어에서 영어 태그 후보를 찾고, stem으로 한국어 어간을 추출한다. knowledge_search의 3층 역할. '단어 확장', '태그 찾기', '한영 매핑', 'expand', 'stem', '형태소'. |
Korean↔English triple graph. Expands Korean words to English Denote tags. Layer 3 of knowledge_search — cross-lingual query enrichment.
Binary bundled in skill directory. Must cd to {baseDir} (reads CWD/graph.edn).
| Command | Usage | Output |
|---|---|---|
| expand | cd {baseDir} && ./dictcli expand "보편" --json | ["universal","universalism","particular","paideia"] |
| graph | cd {baseDir} && ./dictcli graph "보편" | All triples for the word |
| stats | cd {baseDir} && ./dictcli stats | Graph statistics |
| validate | cd {baseDir} && ./dictcli validate | Invariant check |
Traverses the graph: direct translation → opposite's translation → related word's translation.
cd {baseDir} && ./dictcli expand "기술" --json # → ["art","technology","technique"]
cd {baseDir} && ./dictcli expand "도피" --json # → ["escape","flight","avoidance","evasion"]
Empty array = word not in graph.edn. Fall back to original query.
1. User: "보편 학문 관련 노트"
2. expand "보편" → ["universal","universalism","paideia"...]
3. Search: "보편 학문 universal universalism paideia"
Agent autonomously: extract concept words → expand → enrich query → knowledge_search.
JVM-only (Kiwi JNI — not in native binary). Called via dictcli repo's run.sh stem.
Agents rarely call directly — andenken batch-indexes via --batch / --serve mode.
cd ~/repos/gh/dictcli && ./run.sh stem "설계했다" # → 설계
cd ~/repos/gh/dictcli && ./run.sh stem --serve 9876 # socket server (1ms/query)
Pipeline: "설계했다" → stem → "설계" → expand → ["design","architecture"]
graph.edn: 3,971 triples, 2,449 :trans mappings, 4,728 words, 526 clusters:trans(2449), :source(1422), :related(44), :synonym(44)| Component | Runtime | Latency |
|---|---|---|
| expand/lookup/stats | GraalVM native-image | ~9ms |
| stem | JVM (Kiwi JNI) | ~1ms (server) / ~3s (cold start) |
Native binary cannot include stem (JNI incompatible with native-image). Two separate execution paths — no conflict.
| Layer | Tool | Role |
|---|---|---|
| 1 | knowledge_search | Embedding vector search |
| 2 | denotecli | Exact match + graph links |
| 3 | dictcli expand + stem | Korean→English query expansion + stemming |