메뉴
Offline audio transcription into the MEMO repo. Use when the user asks to transcribe audio (mp3/m4a/wav), extract a transcript/文字稿, or turn a recording into transcript.md/transcript.txt/segments.jsonl in `01_Inbox/`.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Record (录入), update, and query your personal network/contact data in a MEMO repo under `05_Resources/network/`, including ingesting external info sources (screenshots/chats/profiles) via PRISM-style decomposition, time-aware life-stage inference (`阶段锚点`), and relative-to-Me deltas (age / graduation). Use when asked to add/update a person card from any raw context, extract facts/inferences/actions, compute relative stage/age differences, or search for matching people via tags/keywords using CLI.
Refract messy screenshots/chats/profiles into Facts, Inferences, Actions, and Me-Info, then draft a repo-ready person card for `05_Resources/network/people/`. Use when the user gives raw social context and wants structured extraction without over-interpretation.
在 MEMO 仓库中维护个人人脉库（Personal CRM）：录入/更新/检索 `05_Resources/network/people/` 的人物卡片，并在 ingest 截图/聊天/简介页时用 PRISM 折射为 Facts/Inferences/Actions/Me-Info；支持阶段锚点（`阶段锚点`）与相对 Me 的差分（年龄/毕业等）。
把截图、聊天、简介页等混沌社交上下文折射为 Facts、Inferences、Actions 和 Me-Info，并产出可写入 `05_Resources/network/people/` 的人物卡片草稿。用于用户提供原始社交材料、但希望避免过度解读时。
Query local Lark/Feishu data from MEMO through the repo's read-first `lark-bridge` plugin. Use when the user wants to inspect docs, chats, messages, mail, calendars, or contacts via the locally configured `lark-cli`.
Archive feedback workflows for any deliverable (proposal/document/work): keep a lightweight 3-artifact pattern (raw-dialogue, feedback-log, deliverable internal index), enforce bidirectional links, capture git snapshot at send/record time, and keep private-notes INDEX in sync. Use when users ask to 记录商讨、归档对话、双向索引、标注发送版本、记录 git 快照、或更新 private-notes 索引; reviewers may be mentor/boss/friend/partner/AI.
SOC 직업 분류 기준
| name | memo-audio-transcribe |
| description | Offline audio transcription into the MEMO repo. Use when the user asks to transcribe audio (mp3/m4a/wav), extract a transcript/文字稿, or turn a recording into transcript.md/transcript.txt/segments.jsonl in `01_Inbox/`. |
Transcribe local audio files offline (no upload) and write transcript outputs into the MEMO inbox.
From the MEMO repo root:
python3 plugins/memo-audio-transcribe/scripts/run_transcribe.py /absolute/path/to/audio.mp3
Batch:
python3 plugins/memo-audio-transcribe/scripts/run_transcribe.py /path/a.mp3 /path/b.m4a
For each input audio, the default output directory is:
01_Inbox/<YYYYMMDD_HHMMSS>_<audio-basename>/
Files:
transcript.md (timestamped segments)transcript.txt (plain text)segments.v1.jsonl (structured segments)meta.v1.json (settings + provenance)int8.