Skyspark Analysis
by mbcoalson
SkySpark analytics for building automation systems including Axon queries, trend analysis, fault detection, and performance optimization using haystack tagging standards
Skill Details
Repository Files
2 files in this skill directory
name: skyspark-analysis description: SkySpark analytics for building automation systems including Axon queries, trend analysis, fault detection, and performance optimization using haystack tagging standards
SkySpark Analysis Skill
This skill provides expertise in SkySpark analytics platform for building automation data analysis.
Core Capabilities
Data Query and Analysis
- Axon query development and optimization
- Haystack tag navigation and filtering
- Time series data analysis
- Historical trend evaluation
Fault Detection
- Equipment fault identification
- Energy waste detection
- Performance degradation analysis
- Alarm correlation and root cause analysis
Visualization and Reporting
- Custom dashboard development
- Trend chart creation and analysis
- Performance summary reports
- KPI tracking and visualization
Available Scripts
- scripts/axon_query_builder.py: Generate common SkySpark queries
- scripts/trend_analyzer.py: Analyze time series data patterns
- scripts/fault_detector.py: Automated fault detection algorithms
Reference Materials
eferences/axon_syntax.md: Axon query language reference
eferences/haystack_tags.md: Common haystack tag patterns
eferences/fault_library.md: Common HVAC fault patterns
Asset Templates
- ssets/dashboard_templates/: Pre-built dashboard configurations
- ssets/query_library.axon: Common SkySpark queries
- ssets/report_templates/: Analysis report formats
Usage Examples
- "Query all AHU supply air temperature trends for last month"
- "Identify equipment with scheduling issues in SkySpark"
- "Create a dashboard for chiller plant efficiency"
- "Analyze energy consumption patterns from BAS data"
Context Awareness
This skill integrates with work-command-center session tracking:
Check Active Context:
node .claude/skills/work-command-center/tools/session-state.js status
Returns: Project name, project number, duration, and deliverables context
Log Activity Checkpoints:
node .claude/skills/work-command-center/tools/session-state.js checkpoint \
--activity "skyspark-analysis: Created AHU efficiency dashboard, identified 3 scheduling faults"
Signal Completion (called by WCC after skill returns):
node .claude/skills/work-command-center/tools/session-state.js skill-complete \
--skill-name "skyspark-analysis" \
--summary "Completed fault detection analysis. Found 3 scheduling issues and 2 setpoint deviations." \
--outcome "success"
Benefits:
- WCC tracks time spent in this skill
- Session logs include skill work breakdown
- Context visible across skill transitions
- Deliverables auto-update from skill outcomes
Saving Next Steps
When skyspark-analysis work is complete or paused:
node .claude/skills/work-command-center/tools/add-skill-next-steps.js \
--skill "skyspark-analysis" \
--content "## Priority Tasks
1. Write Axon query for fault detection
2. Analyze trend data for HVAC optimization
3. Create SkySpark dashboard for building analytics"
See: .claude/skills/work-command-center/skill-next-steps-convention.md
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