メニュー
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）。
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
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.
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.
| name | me-network-crm |
| description | 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）。 |
05_Resources/network/index.md05_Resources/network/requirements-architecture.md05_Resources/network/people/_template.md05_Resources/network/_cli/network.py05_Resources/network/_cli/validate_people.py.agents/skills/prism/SKILL.md.agents/skills/me-network-crm/references/external-source-ingest.md.agents/skills/me-network-crm/references/fields-and-tags.mdHandle/ID（ASCII、长期不变）。建议用 primary-handle 便于快速检索（Ctrl+P）。05_Resources/network/people/<handle>.md（模板：05_Resources/network/people/_template.md）。Handle/ID、关键词、Tags状态、最后联系、下次跟进（没有就写 暂无）阶段锚点（例如 2026-01-13（本科大三））出生日期、预计毕业关键词 尽量包含 “domain + resource + scenario”#domain/ #resource/ #role/ #city/ #rel/ #status/（避免大小写漂移）python3 05_Resources/network/_cli/network.py <keywords>python3 05_Resources/network/_cli/network.py --tag '#resource/intro' <keywords> --json互动记录（流水） 里追加 1 条本次事件/结果。最后联系，设置/调整 下次跟进（日期 + 动作）。状态（#status/active|warmup|dormant|archived）。python3 05_Resources/network/_cli/network.py --tag '#domain/ml' --tag '#resource/intro' <keywords> --json阶段锚点：python3 05_Resources/network/_cli/network.py --as-of 2026-09-01 --jsonpython3 05_Resources/network/_cli/network.py --relative-to-me --json
04_Assets/profile/Me.md（可用 --me-path 覆盖）出生日期/预计毕业，部分字段会为空（允许）下次跟进 写回卡片）python3 05_Resources/network/_cli/validate_people.py如果 python3 在环境里异常（例如 shim/conda），可尝试 /usr/bin/python3。
目标：把混沌的 raw context 折射为 Facts / Inferences / Actions / Me-Info，并写入 05_Resources/network/people/<handle>.md。
.agents/skills/prism/SKILL.md 的契约输出（Facts vs Inferences 分离）。关键词/Tags/状态/最后联系/下次跟进（以及 阶段锚点/出生日期/预计毕业 如适用）## Prism（...，YYYY-MM-DD） 块（Facts/Inferences/Actions/Me-Info）04_Assets/profile/signals.md（没有就创建）