--- name: update-dashboard description: Update dashboard.yaml with current knowledge base metrics from analysis report disable-model-invocation: true user-invocable: true allowed-tools: - Read - Write - Bash - Glob --- # Update Dashboard Refresh the Trinity dashboard with current knowledge base metrics extracted from the analysis report. ## Output Location Write to: `/home/developer/dashboard.yaml` --- ## STEP 1: Read Analysis Report ``` Read knowledge-base-analysis.md from the project root ``` Extract the following metrics using regex or line parsing: ### Core Metrics (from header section, lines 4-5) - **Analysis Date**: Pattern `**Analysis Date:** YYYY-MM-DD` - **Total Notes**: Pattern `**Total Notes:** X,XXX` - **Blocks**: Pattern `**Blocks:** XX,XXX` - **Permanent Notes**: Pattern `**Permanent Notes:** XXX` - **AI Insights**: Pattern `**AI Insights:** XXX` - **Document Insights**: Pattern `**Document Insights:** XXX` ### From Summary Table (lines 14-25) - **Document Sessions**: From table row - **MOCs**: From table row - **Changelogs**: From table row - **Source notes**: From table row - **Output pieces**: From table row - **Change values**: The "+XX" column for trends ### From Domain Distribution (lines 389-398) - **AI/Agents**: XX% - **Neuroscience/Dopamine**: XX% - **Buddhism/Consciousness**: XX% - **Decision-Making/Biases**: XX% - **Identity/Belief Systems**: XX% - **Business/Content Marketing**: XX% - **Flow/Performance**: XX% ### From Statistics (lines 383-385) - **Original frameworks**: Count --- ## STEP 2: Build Dashboard YAML Construct the dashboard with gathered values: ```yaml title: "Cornelius Knowledge Base" refresh: 300 sections: - title: "Knowledge Base Overview" layout: grid columns: 3 widgets: - type: metric label: "Total Notes" value: {total_notes} trend: up trend_value: "{notes_change}" description: "All notes in vault" - type: metric label: "Total Blocks" value: {total_blocks} trend: up trend_value: "{blocks_change}" description: "Content blocks indexed" - type: text content: "Last Analysis: {analysis_date}" size: small color: gray - title: "Note Categories" layout: grid columns: 3 widgets: - type: metric label: "Permanent Notes" value: {permanent_notes} trend: up trend_value: "{permanent_change}" description: "Atomic insights" - type: metric label: "AI Insights" value: {ai_insights} trend: up trend_value: "{ai_change}" description: "AI-extracted notes" - type: metric label: "Document Insights" value: {document_insights} trend: up trend_value: "{doc_change}" description: "Research extracts" - type: metric label: "MOCs" value: {mocs} trend: up trend_value: "{mocs_change}" description: "Navigation hubs" - type: metric label: "Source Notes" value: {source_notes} description: "Books & articles" - type: metric label: "Output Pieces" value: {output_pieces} trend: up trend_value: "{output_change}" description: "Published content" - title: "Domain Distribution" layout: grid columns: 2 widgets: - type: progress label: "AI/Agents" value: {ai_percent} color: blue - type: progress label: "Neuroscience/Dopamine" value: {neuro_percent} color: purple - type: progress label: "Buddhism/Consciousness" value: {buddhism_percent} color: green - type: progress label: "Decision-Making" value: {decision_percent} color: orange - type: progress label: "Identity/Belief" value: {identity_percent} color: yellow - type: progress label: "Business/Marketing" value: {business_percent} color: gray - title: "Growth & Activity" layout: grid columns: 4 widgets: - type: metric label: "Document Sessions" value: {doc_sessions} description: "Research sessions" - type: metric label: "Original Frameworks" value: {frameworks} description: "Custom models" - type: metric label: "Changelogs" value: {changelogs} description: "Activity records" - type: text content: "Phase: Technical Implementation" size: small color: blue - title: "Seven Thematic Hubs" layout: list widgets: - type: list title: "Primary Knowledge Domains" items: - "Consciousness & Self (Buddhism-Neuroscience Bridge)" - "Dopamine & Motivation (Master Hub)" - "Decision-Making & Cognitive Biases" - "Identity & Belief Systems" - "AI Agents & Digital Intelligence (Largest - 546 notes)" - "Flow States & Peak Performance" - "Business & Content Marketing Psychology" style: bullet max_items: 7 ``` --- ## STEP 3: Parse Metrics from Report Use the following extraction logic: ### For header metrics (line 5): ``` Pattern: **Total Notes:** (\d+,?\d*) | **Blocks:** (\d+,?\d*) | **Permanent Notes:** (\d+) | **AI Insights:** (\d+) | **Document Insights:** (\d+) ``` ### For table metrics (lines 14-25): ``` Look for lines with | Total notes | X,XXX | +XXX | Extract value and change columns ``` ### For domain percentages (lines 389-398): ``` Pattern: AI/Agents.*:\s+(\d+)% Pattern: Neuroscience.*:\s+(\d+)% etc. ``` --- ## STEP 4: Write Dashboard ``` Write the constructed YAML to /home/developer/dashboard.yaml ``` Ensure: - All numeric values are integers (no commas in YAML) - Percentages are integers without % symbol - Trends use "up" or "down" based on change values - Date is in YYYY-MM-DD format --- ## STEP 5: Confirm Update Report what was updated: ``` Dashboard updated at {current_timestamp} Metrics refreshed: - Total Notes: {value} ({change}) - Permanent Notes: {value} ({change}) - AI Insights: {value} ({change}) - Document Insights: {value} ({change}) - Domain distribution: AI {X}%, Neuro {X}%, Buddhism {X}%... Dashboard written to: /home/developer/dashboard.yaml ``` --- ## Scheduling This skill can be scheduled via `/trinity-schedules`: ``` # Daily update (recommended) /trinity-schedules add update-dashboard --cron "0 9 * * *" # After each /analyze-kb run Run manually: /update-dashboard ``` **Note:** Dashboard data is only as fresh as the last `/analyze-kb` run. Consider running analyze-kb before update-dashboard for accurate metrics.