Aura (Agent Usage & Resource Analytics) : A local, Dockerized analytics pipeline designed to monitor, analyze, and replay local AI agent sessions (Claude Code, Gemini, etc.). The system decouples data extraction, transformation, and presentation to support both high-level BI reporting and granular, interactive session replays.
AURA is a Claude Code agent skill that aura (Agent Usage & Resource Analytics) : A local, Dockerized analytics pipeline designed to monitor, analyze, and replay local AI agent sessions (Claude Code, Gemini, etc.). The system decouples data extraction, transformation, and presentation to support both high-level BI reporting and granular, interactive session replays.
npx skills add darshanmeel/AURAInstalled? Explore more Pesquisa e Análise de Dados skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Aura (Agent Usage & Resource Analytics) : A local, Dockerized analytics pipeline designed to monitor, analyze, and replay local AI agent sessions (Claude Code, Gemini, etc.). The system decouples data extraction, transformation, and presentation to support both high-level BI reporting and granular, interactive session replays.
Source: https://github.com/darshanmeel/AURA
Discovered during the daily awesomeskills.dev agent-skill hunt.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.