菜单
Browse conversations by calendar date. Use when user asks "what was I working on last Thursday" or specifies a date.
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
Evaluate a decision against the user's stated principles + related past thinking. Loads principles from YAML, matches by keyword, surfaces semantically similar prior decisions.
Raw accounting of what's in the brain. Counts messages, embeddings, summaries, domains. Use when user asks "how much is in my brain" or "what's the size of the corpus."
Surface patterns in how the user thinks — cognitive pattern, problem-solving approach, emotional tone, content category. Optional domain scope. Use when user asks "when do I think best" or "what patterns show up in breakthroughs."
Full re-entry brief for a domain — recent summaries + accumulated open questions, decisions, insights, quotes. Longer and deeper than tunnel-state. Use after days/weeks away from a project.
Surface abandoned domains with unresolved breakthrough/significant open questions. Ranked by breakthrough count → question count → conversation count. Use when user feels important threads have been dropped.
Fetch the full message thread of a specific conversation by ID. Returns role + content + timestamp, truncated at 20 messages / 1000 chars per message. Use when the user references a specific conversation from prior search results.
| name | conversations-by-date |
| description | Browse conversations by calendar date. Use when user asks "what was I working on last Thursday" or specifies a date. |
| layer | L1 |
| reads | ["L0.all_conversations"] |
| writes | [] |
| citations | output-is-citation |
| determinism | pure-function |
| allowed-tools | mcp__my-brain__conversations_by_date |
L1 retrieval scoped to a single date. Returns distinct conversation_ids with titles and sources. Pure function of (date, corpus).
daily-memory-file for narrative reconstructiondate: str # YYYY-MM-DD
limit: int = 30
Markdown list of distinct conversations from that date. Each row: title, source, model, created timestamp, conv_id citation.