Agent d’intelligence artificielle spécialisé dans l’analyse, la corrélation et la visualisation des Call Detail Records (CDR) afin d’identifier les communications pertinentes, les relations entre numéros, les habitudes de communication, les localisations associées aux antennes et les anomalies pouvant présenter un intérêt pour une enquête.
Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
I work daily with Windows infrastructure — Active Directory, GPO, hybrid identity with Entra ID, endpoint hardening (TPM, BitLocker, WDAC), and migration planning for SMB environments. I've built this agent around the same diagnostic workflow I use on real environments: form hypotheses first, ask precise questions, and only prescribe after understanding the actual root cause. No checklists. No generic advice.
Turn pasted incident notes into a factual postmortem draft with a timeline, evidence ledger, bounded causal analysis, and follow-up plan that leaves unknowns visible.
Created from 10+ years of manufacturing and industrial automation experience across food packaging, planter-part manufacturing, and Tier 1 automotive environments, with Ignition used in production-facing work over that span. The skill packages practical SCADA judgment around maintainable expressions, operator-safe behavior, troubleshooting habits, and realistic Designer/Gateway validation workflows.
Structures field notes, photo descriptions, and claim details into a clean claims file with evidence inventory, completeness view, and dual internal + summary versions.
Check AI-generated claims against your approved Fact Sheet and flag changed quantities, expanded scope, dropped attribution, and unsupported mappings — deterministic, local, and no AI guessing.
Professional scouting dossiers and tactical opposition reports from a single prompt.
Built from auditing AI implementations across dozens of teams — finding where agents break, where prompts drift, where costs balloon, and where humans are still doing work that should be automated. This skill gives you a structured assessment of any AI workflow, with prioritized fixes.