Results for “mel-brooks”

Databricks Workspace Status

Build reproducible ML experiment plans with hypotheses, metrics, and ablations. Use when: (1) planning experiments, (2) comparing variants, (3) defining acceptance thresholds. NOT for: long-running experiment execution.

Repair and verify cross-references between SKILL.md files after a skill is created, renamed, removed, or restructured. Ensures every skill that calls another skill references the correct name, and every skill that is called has accurate "Called by" context. Load after universal-skill-creator creates a skill, after improve-skills completes a cycle, after a skill is renamed or removed, or when the user asks to fix cross-references, sync skill links, repair broken skill references, update skill cross-links, check skill references, or "are cross-links correct".

Use when masking columns or coordinate ranges in multiple-sequence alignments before downstream HMMER or alignment-processing steps.

Analyze proteomics and metabolomics mass spectrometry data with PyOpenMS: read/write MS file formats, process spectra, detect and quantify features, identify peptides and proteins, and run end-to-end LC-MS/MS pipelines using ready-to-run scripts.

Execute Databricks Notebooks / Jobs

Provides safe, reversible database schema change patterns for PostgreSQL, MySQL, and common ORMs, with guidance on zero-downtime deployments, rollbacks, and migration tooling.

Use when asked for dark-mode glassmorphism cards, frosted dark hero sections, blur panels, or glass UI with gradient/glow borders via a pseudo-element mask. Prefer this over mengto-dark-glass-clean-layout when isolated glass cards/borders matter, not multi-column workspace shells; prefer over mengto-glass-dark-mode-clock when there are no clock dials; prefer over mengto-blue-laser-clean-glass-layout when gradient borders matter more than blue laser atmosphere.