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Search past conversations and personal records using semantic search. Use for: 예전에 말했던, 기억나, 저번에, 과거 대화, 기억해줘, recall previous conversation, what did I say before
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
One-shot import of Google Contacts (People API) into the user's Connect (인맥) list. Pages through every contact, dedupes against existing connections by email then phone, and inserts new rows with category=acquaintance and tags=['google_contacts']. Honors BR-SOCIAL-3 — never writes social_profiles even if Google returns LinkedIn URLs. Use for: 구글 연락처 가져오기, 연락처 동기화, contacts import, import google contacts, sync google contacts, google 연락처, 인맥 가져오기, 주소록 가져오기
Record and sync Connect (인맥) activity timeline entries. Pulls from Google Calendar + Gmail (shares google-workspace OAuth token), or accepts manual entries like '김철수와 어제 점심 먹었어'. Use for: 인맥 활동, 활동 기록, 만남 기록, 미팅 기록, 점심, 저녁, 통화 기록, 일정 동기화, 인맥 동기화, connect sync, connect activity, meeting log, met with, had lunch with
Add or replace Context Memo (context_notes) for a Connect (인맥) entry. Looks up the target connection by exact or fuzzy name when the agent doesn't already know the connection UUID. Use for: 인맥 메모, 인맥 메모 추가, 메모 추가, 메모 수정, 인물 메모, 사람 메모, connect memo, add note, update note, context note
Scan a business card image with Gemini Vision and extract structured contact fields (name, role, company, email, phone, address, etc.) to create a new Connect (인맥) entry. Use for: 명함, 명함 스캔, 명함 등록, 명함 인식, 명함 저장, 명함 추가, 인맥, 인맥 추가, 인맥 등록, 연락처 등록, 연락처 추가, 비즈니스 카드, business card, business card ocr, scan business card, contact card, register contact
"Analyze uploaded images using Gemini Vision, or generate/edit images with Gemini AI. Use for: 이미지 분석, 사진 분석, 이미지 생성, 그려줘, 그림 만들어줘, image generation, photo analysis"
Search the internet for up-to-date information and fetch web page content via Tavily. Use for: 검색해줘, 찾아줘, 최신 정보, 인터넷 검색, 뉴스, 요즘, web search, latest news, current information
| name | memory |
| display_name | 기억 검색 |
| description | Search past conversations and personal records using semantic search. Use for: 예전에 말했던, 기억나, 저번에, 과거 대화, 기억해줘, recall previous conversation, what did I say before |
| version | 1.0.0 |
| emoji | 🧠 |
| category | productivity |
| enabled_by_default | true |
| requires_api_key | false |
| platforms | web, telegram, api |
| uses_provider | false |
| requires | {"bins":["starnion-memory"]} |
| allowed-tools | ["Bash","exec"] |
| triggers | {"keywords":["기억","기억해","과거","예전에","전에 말했던","저번에","기억나","찾아줘","대화 기록","오늘의 한마디 찾아줘","recall","remember","past conversation","history","previous","what did I say","search memory"],"when_to_use":["User asks about something they mentioned in a previous conversation","User says \"예전에 말했던 거 기억나?\" or \"저번에 어떻게 했더라\"","User wants to retrieve a past record or log","User asks \"내가 언제 X 했더라?\" referring to past records"],"not_for":["Saving new memories (use planner-reflection for notes, planner-diary for 오늘의 한마디)","Real-time search of external information (use websearch skill)"]} |
Use starnion-memory to search past diary entries, daily logs, and conversations using semantic similarity.
Always pass --user-id {user_id}.
starnion-memory --user-id {user_id} search --query "{search query}" --limit 5
starnion-memory --user-id {user_id} list --limit 10
Before running any starnion-memory write/store command, always validate the content first:
python3 {skills_dir}/memory/scripts/validate_memory.py --text "{content to store}"
OK → proceed with starnion-memory commandBLOCKED: → do NOT store, inform the user whyValidation checks: length ≤ 2200 chars, no invisible unicode, no prompt injection patterns, no exfiltration patterns.
User: "저번에 운동 얘기했던 거 있어?"
starnion-memory --user-id abc123 search --query "운동 체력 건강" --limit 5
User: "내가 스트레스 받았던 적 있어?"
starnion-memory --user-id abc123 search --query "스트레스 힘들었던 날" --limit 5