القائمة
Retrieval over the user's markdown corpus (notes, wikis, docs) with filters for depth-score, breakthroughs, project, and open TODOs. Use when user references a markdown file or wiki concept.
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 | search-docs |
| description | Retrieval over the user's markdown corpus (notes, wikis, docs) with filters for depth-score, breakthroughs, project, and open TODOs. Use when user references a markdown file or wiki concept. |
| layer | L1 |
| reads | ["L0.markdown_docs"] |
| writes | [] |
| citations | output-is-citation |
| determinism | pure-function |
| allowed-tools | mcp__my-brain__search_docs |
L1 retrieval over the markdown_docs DuckDB table (optional L0 layer populated from user's markdown vault). Multiple filter sub-modes project different slices. Each result IS a citation (file path + line region).
filter="breakthrough" for high-energy docsfilter="todos" for open TODO extraction across projectsfilter="deep" with min_depth=70 for substantive docs onlyquery: str = ""
filter: None | "ip" | "breakthrough" | "deep" | "project" | "todos"
project: str | None
limit: int = 15
min_depth: int = 70
Markdown table with filename, project, voice, energy, depth_score, harvest_score, decision_count, word_count, first_line. Each row is a path-citation.
energy or voice tags