Auroralabs
Official@auroralabs-loci · Israel
Offers embedded systems analysis for quantifying timing, energy consumption, and memory utilization within compiled object files and hardware traces.
Agent Skills by Auroralabs
Showing 6 vetted skills indexed across 1 GitHub repositories.
auroralabs-lociloci-post-edit
Analyze pre-edit and post-edit artifacts to quantify timing and energy deltas.
auroralabs-lociloci-preflight
Analyze compiled callees for CFG, timing, and energy risks in design plans.
auroralabs-locimemory-report
Analyze ROM and RAM usage in embedded ELF and object files.
auroralabs-lociexec-trace
Analyze per-function timing and energy from LOCI hardware traces.
auroralabs-locitrends
Render per-function timing, energy, stack, and memory trends from LOCI session context.
auroralabs-locibug-report
Collect forensic diagnostic data for LOCI failures into a timestamped markdown report.
Frequently Asked Questions About Auroralabs
FAQPage SchemaWhat specific tasks can I perform with Auroralabs' embedded analysis capabilities?▼
You can quantify energy and timing deltas, analyze ROM and RAM usage in ELF files, perform CFG risk assessments on compiled callees, and generate forensic diagnostic reports from hardware traces to identify performance bottlenecks.
Which engineering personas benefit most from these embedded analysis skills?▼
Embedded systems engineers, firmware developers, and hardware performance architects benefit most. These skills are designed for professionals managing resource-constrained environments who require granular visibility into timing, energy consumption, and memory footprint during the development lifecycle.
What are the primary prerequisites for running these analysis functions?▼
Execution requires access to compiled ELF or object files and LOCI hardware trace data. Users must have a configured LOCI session context to enable trend rendering and forensic diagnostic reporting across their firmware design plans.