القائمة
Cross-source retrieval combining conversation embeddings, GitHub commits, and markdown docs into one ranked list. Use for broad orientation queries.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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.
Browse conversations by calendar date. Use when user asks "what was I working on last Thursday" or specifies a date.
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.
| name | unified-search |
| description | Cross-source retrieval combining conversation embeddings, GitHub commits, and markdown docs into one ranked list. Use for broad orientation queries. |
| layer | L1 |
| reads | ["L1.embeddings","L0.github_commits","L0.markdown_docs"] |
| writes | [] |
| citations | output-is-citation |
| determinism | pure-function |
| allowed-tools | mcp__my-brain__unified_search |
L1 retrieval that aggregates three substrate stores into one ranked list. No synthesis — just merge + sort. Fixed source-quotas (conversations: 5, github: 3, markdown: 3). Static score weights per source (0.4 github, 0.45 markdown) — conversation rows carry real cosine similarity.
query: str
limit: int = 15
Grouped markdown by source type. Each row has source tag [conversation] | [github] | [markdown] + citation (conv_id / commit SHA / file path).