Model interpretability and explainability using SHAP (SHapley Additive exPlanations).
Design and build AI agents for any domain.
Use when designing or reviewing the tool/function interface an LLM agent calls through — naming and scoping tools, shaping observation…
Guides instrumenting Go (and TypeScript/PHP) services with structured logging, RED/USE metrics, and distributed tracing so production…
Real-time shipment monitoring and exception management skill with proactive alerting and customer communication
Set up observability for Shopify app integrations with query cost tracking,
Keep a reviewable decision trail for long-running or unattended work: a TSV log with one row per decision (what, why, evidence, result).
Use when packaging code, run files, test collections, or judgments for a SIGIR submission — deciding between an artifact inside a…
Use when designing or auditing the empirical program of a SIGIR paper — choosing test collections that match the claim, metric-cutoff…
Use this skill when the user asks about Sigma Computing dashboards, wants to extract
Use when designing or auditing ACM SIGMETRICS evaluations, covering theorem-plus-validation rigor, stating and testing modeling…
Cross-product Signals scout. Looks for cross-product correlations and explores the surfaces the per-product specialist scouts don't cover.
Signals scout for PostHog session replay.
Use when a policy or controller trained/tuned in simulation must run on the real robot — close the gap with domain randomization for what…
Automate Simple Analytics tasks via Rube MCP (Composio).
Process-based discrete-event simulation framework in Python.
Runs the Simulink Solver Profiler and analyzes the results.
Diagnose and fix AI anatomy failures in people.
Calibrate a new dataset from pre-recorded video files via the AutoMagicCalib REST API.
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice.
Lock apparent age across a character series.