Analytics & Monitoring Agent Skills for Claude Desktop

Configure Clari API authentication with API key and set up export access.

Use when: the user asks to make or render charts with flint-chart, visualize tabular data, generate a ChartAssemblyInput, validate/render…

Comprehensive guide for BFL FLUX image generation models.

Detect Python agent frameworks from code imports and map them to Omnigent executor types.

Use Model Merging when you need to: - Combine capabilities from multiple fine-tuned models without retraining - Create specialized models…

Computes and interprets sequencing read depth and coverage over a genome, windows, or target regions with mosdepth (windowed depth…

Use when investigating a production incident, anomaly, or error using observability tooling (Grafana, Sentry, Datadog, New Relic — via MCP…

Show which external providers are configured for the Gauntlet Loop and how roles can be routed.

Generate or iteratively edit videos with Google Gemini Omni Flash through the Gemini Interactions API.

Use when evaluating, comparing, researching, or preparing vendor questions for Generative AI platforms, AI services, orchestration layers…

Run Vendo's buy-vs-build generation benchmark — generation time + accuracy of the real Vendo pipeline vs raw-Claude baselines (diy…

Generate a citable data dictionary / codebook from a tabular dataset (CSV/TSV/Excel/Parquet/Stata/SAS).

Predict regulatory features, gene structure, and utilize the genome intelligent host DNA language model directly from DNA…

Verify that the points in a geospatial dataset actually sit where they claim to, then publish a street-level audit artifact with corrected…

Builds Geographically Weighted Regression (GWR) workflows in CARTO.

Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics…

Compute GitHub repository star velocity over a rolling time window using the stargazers API.

The GMSH Agent is a specialized AI module for finite element mesh generation and manipulation.

Automates the end-to-end creation, calibration, and quality control of Go bugfix and diagnosis training datasets for AI models.

Analyzes health data and goal progress to provide personalized insights and SMART-compliant optimization strategies.

Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect…