mordechaipotash/brain-mcp
25 skills
$npx skills add mordechaipotash/brain-mcpSkillInstalls
alignment-checkEvaluate a decision against the user's stated principles + related past thinking.brain-statsRaw accounting of what's in the brain. Counts messages, embeddings, summaries, domains.cognitive-patternsSurface patterns in how the user thinks — cognitive pattern, problem-solving approach, emotional tone, content category. Optional domain scope.context-recoveryFull re-entry brief for a domain — recent summaries + accumulated open questions, decisions, insights, quotes. Longer and deeper than tunnel-state.conversations-by-dateBrowse conversations by calendar date. Use when user asks "what was I working on last Thursday" or specifies a date.dormant-contextsSurface abandoned domains with unresolved breakthrough/significant open questions. Ranked by breakthrough count → question count → conversation count.get-conversationFetch the full message thread of a specific conversation by ID. Returns role + content + timestamp, truncated at 20 messages / 1000 chars per message.get-principleReturn the full body of one principle by name. Use when user references a specific principle (e.g., "SHELET", "Bottleneck Amplification").github-searchQuery the user's GitHub repo + commit index. Modes timeline, conversations, code, validate.list-principlesList the user's stated principles from the configured YAML file. Use when user asks "what are my principles" or before alignment-check.open-threadsGlobal unfinished-work matrix — every domain × every open question. Paired with dormant-contexts for the complete overwhelm-reducer surface.query-analyticsQuery optional analytics parquets — timeline, stacks, problems, spend, summary. Use only when user asks about tool-stack adoption, spend, or temporal patterns.search-conversationsDeterministic keyword retrieval (ILIKE) over raw L0 messages. Use when the user references an exact term, name, or phrase they remember writing.search-docsRetrieval over the user's markdown corpus (notes, wikis, docs) with filters for depth-score, breakthroughs, project, and open TODOs.search-summariesHybrid retrieval (vector + FTS) over L2 structured summaries. Supports filter by domain, importance, thinking-stage, source, and extract mode.semantic-searchDeterministic vector retrieval over embedded messages. Finds conversations by meaning, not keyword.switching-costQuantify cognitive cost of switching from current domain to target domain. Formula-driven (0.0-1.0). Returns recommendation.thinking-trajectoryShow how the user's thinking on a topic evolved over time. Views full (timeline + stages), velocity (accelerating/stable/declining), first (genesis moment).trust-dashboardProof the safety net is intact. Structural integrity check across L0-L2. Use when user is anxious about what was lost or wants to verify nothing slipped.tunnel-historyShow aggregated history of a domain — thinking stages, importance breakdown, cognitive patterns, emotional tones, top concepts as bar charts.tunnel-stateReconstruct cognitive save-state for a domain. Returns thinking-stage, open-questions, decisions, concepts, emotional-tone — every claim carries a citation.unfinished-threadsConversations still in exploring or crystallizing stage with open questions at or above min_importance.unified-searchCross-source retrieval combining conversation embeddings, GitHub commits, and markdown docs into one ranked list. Use for broad orientation queries.what-do-i-thinkSynthesize the user's views on a topic across 10+ conversations. Modes synthesize (default) or precedent.what-was-i-thinkingMonthly snapshot — activity level, top conversations, sample questions. Use when user wants to reconstruct a specific month's mental state.