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MEMO
MEMO contient 13 skills collectées depuis fenglang918, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
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.
Convert machine-generated meeting transcripts (.srt/.vtt/.txt) into (1) full-fidelity polished documents that preserve complete original information and (2) intelligent meeting minutes with decisions, actions, owners, deadlines, risks, and open questions. Use when users ask to整理会议转录、润色口语稿、保留完整信息转文档、或基于转录生成纪要.
Archive a folder dropped into `01_Inbox/` into a proper long-term domain directory with deterministic renaming, raw preservation (`raw-*`), structured outputs (`README.md` + `*.v1.json`), and index backlinks. Use when users ask to整理/归档/重命名/结构化某个 Inbox 文件夹,或要求把临时收集材料迁移到 `05_Resources` / `03_Goal-Projects` / `04_Assets` 等稳定位置。
Sync MEMO master schedule with Apple Calendar using the existing scripts for push (`calendar.md -> Apple`), pull (manual Apple events -> `inbox.md`), or one-shot bidirectional flow. Use when the user asks to sync/update Apple Calendar events, pull phone/manual events back, or run the full schedule calendar linkage.
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.
Build and validate repo-level concept-to-evidence indexing outputs for `06_Infra/indexing/` using `build_repo_concept_index.py` with default `v1_1` policy, optional `v1` fallback comparison, and actionable regression summary. Use when the user asks to run/update indexing, check link quality (`error`/`note`), compare profiles, or refresh indexing artifacts/docs after protocol/content changes.
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/`.