Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
Guide systematic debugging using scientific method: STABILIZE -> HYPOTHESIZE -> EXPERIMENT -> FIX -> TEST -> SEARCH. Two modes: CHECKER audits debugging approach (outputs status table with...
Create Oracle-compliant PowerPoint presentations following Oracle brand guidelines. Supports Dark (default) and Light themes with OCI/Database branding. Use when creating Oracle presentations,...
🎯 AI Orchestrator - Ultimate natural language to expert prompt translator. Analyzes intent with UltraThink, routes to specialized agents, and verifies execution. Use for: orchestrate, translate...
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Create/improve self-healing Claude Code skills with Knowledge Framework and version tracking. Use when user says "create skill", "improve skill", "update skill", "fix skill error", "создай скил",...
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Use to detect and remove cognitive biases from reasoning. Invoke when prediction feels emotional, stuck at 50/50, or when you want to validate forecasting process. Use when user mentions scout...
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Design property-based tests that verify code properties hold for all inputs using automatic test case generation. Use for property-based, QuickCheck, hypothesis testing, generative testing, and...
Comprehensive backend development workflow that orchestrates expert analysis, architecture design, implementation, and deployment using the integrated toolset. Handles everything from API design...
Comprehensive backend development workflow that orchestrates expert analysis, architecture design, implementation, and deployment using the integrated toolset. Handles everything from API design...
Comprehensive backend development workflow that orchestrates expert analysis, architecture design, implementation, and deployment using the integrated toolset. Handles everything from API design...
Apply structured logging best practices using Pino for Node.js applications: JSON output, log levels, context, redaction, correlation IDs, and centralization. Use when implementing logging,...