google-search-console

Create new items on Instagram, Facebook Pages, TikTok, YouTube, LinkedIn Pages, and Google Business Profile through Windsor.ai - publish image, video, carousel, and story posts and comment on posts on Instagram; publish text and photo posts on Facebook Pages; publish text and image posts on LinkedIn Pages; create posts, reply to reviews, and update photos, hours, and open status on Google Business Profile. Use when the user wants to create, publish, or post something new. Collect inputs, show the full draft, create only after confirmation.

Report, rank, compare, and trend web analytics performance across Google Analytics 4 and Google Search Console through Windsor.ai. Use when the user asks about sessions, users, engagement rate, conversions, and revenue from GA4; clicks, impressions, CTR, and average position from Search Console. Do not use to change anything, to connect an account, or to schedule exports - route those to the sibling skills.

Analyze TikTok account (organic) performance through Windsor.ai. Use when the user asks about their TikTok personal or business account's organic insights — video views, likes, comments, shares, followers, profile views, or audience breakdowns by country, age, gender, or active hour. Do not use for TikTok Ads (those live in the TikTok Ads connector), other platforms, or publishing videos.

Analyze and manage TikTok Ads through Windsor.ai. Use when the user asks about their TikTok Ads performance — pulling live campaign, ad group, or ad metrics (spend, impressions, clicks, conversions, CPA, ROAS), comparing date ranges, or finding top or underperforming campaigns — or when they want to pause or enable a campaign, ad group, or ad, or change a campaign or ad group budget. Do not use for TikTok organic (that's the TikTok Organic connector — no ad or cost data there), or other ad platforms (Meta/Facebook, Google, LinkedIn, Microsoft Ads).

Report, rank, compare, and trend social media performance across Instagram, Facebook Pages, TikTok, YouTube, LinkedIn Pages, and Google Business Profile through Windsor.ai. Use when the user asks about reach, impressions, engagement (likes, comments, shares, saves), follower growth, video views, and watch time. Do not use to change anything, to connect an account, or to schedule exports - route those to the sibling skills.

Analyze LinkedIn company page (organic) performance through Windsor.ai. Use when the user asks about their LinkedIn page's organic insights — follower growth, impressions, reach, clicks, reactions, comments, shares, engagement rate, or visitor demographics by industry, job function, seniority, or company size. It can also publish a text or image post to the company page, always after the user approves the full draft. Do not use for LinkedIn Ads (those live in the LinkedIn Ads connector) or other platforms.

Analyze and manage LinkedIn Ads through Windsor.ai. Use when the user asks about their LinkedIn Ads performance — spend, impressions, clicks, CTR, CPC, conversions, or leads at campaign, campaign-group, or creative level, with member demographic breakdowns — or wants to pause/enable a campaign, campaign group, or creative, or change a campaign or campaign-group budget. Do not use for LinkedIn organic company-page data (that's the LinkedIn Organic connector), other ad platforms, or GA4/web analytics.

Connect, reconnect, or add accounts for any of the 350+ sources Windsor.ai supports - Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads, Amazon Ads, Instagram, Facebook Pages, LinkedIn Pages, YouTube, TikTok, Google Business Profile, GA4, Search Console, HubSpot, Salesforce, Pipedrive, GoHighLevel, Shopify, Amazon Seller Central, Klaviyo, Stripe, QuickBooks, Xero, BigQuery, Snowflake, Google Sheets, and more - and resolve which connected account a request means. Use when the user wants to connect or set up a source, asks what is connected or available, sees no data, or hits a permission or sign-in error. Do not use for analysis or changes.

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 threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, or auditing PASS/NO_PASS boundary cases.

Run the full DEFT smart-data-augmentation loop for NVIDIA TAO Grounding 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 — repeated for a fixed number of iterations. Also prepares the source pool the loop mines from, as a separate run: Co-DETR pseudo-labeling, folding to the target classes, KITTI→COCO→ODVG conversion, and embedding. Use for prompts like "run the DEFT OD loop", "run smart data augmentation for grounding dino", "mine and retrain my detection model", "improve OD mAP with gap analysis and mining", "prep the source pool", or "pseudo-label my unlabeled images for mining"; do not use for standalone TAO training, one-off inference, or gap analysis alone.

Routes the weakest VCN samples (output of `tao-analyze-gaps-visual-changenet`) into per-augmentation-module subsets based on each module's label eligibility. Use when the user asks to "route VCN gap samples", "split AOI gaps for k-NN mining and AnomalyGen", or prepare the immediate next step after DEFT gap analysis in a VCN AOI SDA iteration.

Kumo-Anomaly — diffusion-based anomaly detection and fine-tuning for multivariate time series. Use when the user asks to "fine-tune Kumo-Anomaly", "run Kumo-Anomaly inference", "detect anomalies with diffusion", "time series anomaly detection", "finetune Kumo-Anomaly", "use perform_anomaly_analysis_with_diffusion", "automl Kumo-Anomaly", "hyperparameter search Kumo-Anomaly", "hyperparameter optimization" or mentions "curriculum_medium.yaml", "final_model.pth", "kumo-anomaly", "sdk/anomaly_analysis", or "TSDiffuser_Generic".

Extract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions. Use when the user asks to "analyze VLM BCQ gaps", "extract VLM false positives and false negatives", or identify failure cases from a predictions JSON for DEFT root-cause analysis on a binary-classification VLM workflow.

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 / PASS-NO_PASS metrics, auditing visual inspection pipeline quality, or running an RCA report for an AOI defect-detection model. Trigger phrases include "RCA on my ChangeNet model", "why is my AOI model failing", "audit ChangeNet predictions", "investigate FAR regressions", "root cause analysis on visual-changenet".

Run NV-Reason-CT inference on user-provided 3D NIfTI chest or abdominal CT volumes for engineering and research workflows. Not for diagnosis, treatment, or clinical reporting.

Generate a reproducible final report, literature-outcome synthesis, JSON summary, and refreshed progress plot for a stopped or interrupted NVFLARE Auto-FL campaign.