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Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
How this skill is triggered — by the user, by Claude, or both
Slash command
/airesearchorchestrator:analyze-resultsThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Find JSON/CSV result files in `figures/`, `results/`, or output directories.
Find JSON/CSV result files in figures/, results/, or output directories.
Organize by:
Structure as:
Draft finding statements for project notes.
npx claudepluginhub jacazjx/ai-research-orchestrator --plugin airesearchorchestratorRuns rigorous statistical analysis for ML/AI experiments: validates artifacts, computes descriptive/inferential stats, generates scientific figures, and surfaces missing evidence.
Analyzes experiment results from tables, stats, or descriptions to generate LaTeX discussion paragraphs for academic papers via two-phase workflow: extracts findings for user confirmation, then writes grounded analysis.
Analyzes experimental results, model outputs, and data with statistical rigor and diagnostic depth.