AI tools for “analysis”

Continues a website-mode migration from the validated backend handoff through frontend build, post-build gap analysis/fixing, release, and a durable frontend completion receipt.

…failure cases from a predictions JSON for DEFT root-cause analysis on a binary-classification VLM…

Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision…

Run TAO Data Services object-detection gap analysis from ground-truth and inference annotations. Use when an object detection workflow needs to identify weak images by comparing model predictions against ground truth…

Run TAO Data Services KPI analysis for object detection, comparing inference annotations against ground truth to compute per-class TP/FP/FN/TN, precision, recall, accuracy, and AP at a fixed IoU. Use when an object…

Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating poor recall / FAR /…

Analyze segment and traffic performance using Noibu data. Use when you want to know which channels, devices, or countries convert best, how mobile compares to desktop, where your traffic is coming from, which segments…

Analyze product and collection performance using Noibu data. Use when you want to know which products are underperforming, what your best-selling product type is, why a product isn't converting, how your collections are…

Analyze checkout performance and health using Noibu data. Use when you want to know where shoppers drop off in the checkout funnel, what payment or delivery methods customers are using, why completion rates are low,…

…Loads alongside topical Noibu skills (e.g., `checkout-analysis`, `tech-diagnosis`), not instead of them — they own routing for their respective…

…or hits a permission or sign-in error. Do not use for analysis or…

…workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after…

…or prepare the immediate next step after DEFT gap analysis in a VCN AOI SDA…

…DINO object detection: zero-shot baseline inference, KPI analysis, per-class gap analysis, SigLIP embedding of weak images, unique-neighbor mining against a source pool, ODVG dataset staging, and retraining —…

…dataset preparation, zero-shot evaluation, attribute gap analysis, caption-space k-NN mining, history-aware selection, retraining, and re-evaluation. Treat `tao-deft-pas` as shorthand for this canonical…

…performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune configs, TMA, latency hints, persistent scheduling, num_ctas,…

…over aggregated results, or do grounded RAG-style analysis in the lakehouse. Signature is model-first; available models must be confirmed live before relying on…

…to Oracle Analytics Cloud workbooks from natural-language analysis requirements. It authors deterministic, template-first workbook JSON, validates visualization runtime semantics, uses governed datasource metadata…

…triaging incidents with Cloud Manager logs, thread pool analysis, and Sling Job diagnostics for the Granite Workflow…

…Honeycomb: context priming, broad query, BubbleUp, trace analysis, verification, and chaining results between steps to a root cause. Trigger phrases: "investigate production issue", "debug latency spike", "find root…