bayesian-optimizer
Optimizes black-box functions (e.g., experimental yield) using Gaussian Processes, ideal for self-driving labs.
Optimizes black-box functions (e.g., experimental yield) using Gaussian Processes, ideal for self-driving labs.
Set up complete experimental infrastructure for all runs in a designed experiment. Orchestrates parallel generation of fine-tuning configs (via scaffold-torchtune) and evaluation configs (via scaffold-inspect). Use after design-experiment to prepare configs before running experiments.
Execute the complete experimental workflow - model optimization followed by evaluation - for all runs in a scaffolded experiment. Use after scaffold-experiment to submit jobs to SLURM.
SOTA metrics for evaluating range bar (price-based sampling) financial data. Use when computing Sharpe ratios, risk metrics, ML prediction quality for range bars. TRIGGERS - range bar metrics, evaluate range bars, Sharpe ratio range bars, WFO metrics, walk-forward metrics, BiLSTM evaluation, crypto metrics, daily aggregation, sqrt(7), sqrt(365), PSR DSR MinTRL, IC information coefficient.
Statistical analysis strategies and data exploration techniques
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Router to training optimization skills based on symptoms and training problems
Create Mermaid diagrams (activity, deployment, sequence, architecture) from text descriptions or source code. Use when asked to "create a diagram", "generate mermaid", "document architecture", "code to diagram", "create design doc", or "convert code to diagram". Supports hierarchical on-demand guide loading, Unicode semantic symbols, and Python utilities for diagram extraction and image conversion.
Generate Mermaid diagrams for educational content. Use when visualizing concepts, architectures, or workflows.
Expert kinetic typography and animated caption system for viral video. PROACTIVELY activate for: (1) Kinetic captions with word-grow highlighting, (2) Karaoke-style progressive fill with scale animation, (3) Word bounce/pop effects (CapCut-style), (4) Spring physics text animation, (5) Shake/tremor emphasis effects, (6) Typewriter character reveal, (7) Multi-color karaoke transitions, (8) Elastic overshoot animations, (9) Word-by-word caption reveal, (10) TikTok/Shorts/Reels viral caption styles, (11) Kinetic typography for music videos, (12) Impact text slam effects, (13) Breathing/pulse text animation, (14) Color sweep highlighting, (15) Animated lower thirds. Provides: Complete ASS animation tag reference, word-grow karaoke formulas, spring physics parameters, platform-specific timing profiles, Python generation scripts, production-ready templates, and viral caption best practices for 2025-2026.
This skill should be used when generating pedagogically-aligned slide decks from educational content using NotebookLM. It addresses the convergence toward generic, text-heavy slides by providing structured prompts that create engaging, proficiency-appropriate presentations aligned with specific educational frameworks.
Translate educational content to Urdu while preserving technical accuracy. Use for multilingual content delivery.
Transform comprehensive written content into purposeful spoken guidance. Use when adapting for speech, converting to spoken format, optimizing for listening, or creating audio content from written material. Keywords: speech, audio, spoken, listening, adaptation, podcast.
Professional translation using Claude's native capabilities. Use this skill when the user needs to translate text between languages with high quality, or when content needs to be localized for different language audiences.
Comprehensive plotting and visualization in Python - matplotlib (static publication-quality plots), seaborn (statistical visualization), and plotly (interactive plots); includes plot types, customization, best practices, and library selection guidance
Creates modern LaTeX tables with tabularray package for fixed-width columns, proper alignment, and clean syntax. Use when creating tables or working with column layouts.
Use when performing regression analysis with confidence intervals, solving ODEs, fitting models to experimental data, or caching expensive scientific computations - provides convenient wrappers around scipy that automatically calculate confidence intervals and prediction bounds for linear, nonlinear, and polynomial regression
Databricks Job activity and 2025 Azure Data Factory connectors
Diagnoses and resolves MCP server registration failures, GPU detection, BigQuery authentication, index build failures, import errors, search quality issues, and performance problems.
Comprehensive Azure Data Factory knowledge base with official documentation sources, CI/CD methods, deployment patterns, and troubleshooting resources