rag-observability-evals
Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.
Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.
Measure and improve test coverage and test suite quality using code coverage and mutation testing. Ensures tests actually catch bugs.
A skill with edge cases to test scanner boundary behavior
Use this skill when you need to plan manual or exploratory testing with charters, heuristics, and session records; triggers include manual testing and exploratory testing.
Use this skill to compute compact DeepChem circular fingerprints from a small set of SMILES strings with the repo-managed DeepChem prefix. Do not use it for model training, docking, or large library screening.
Workflow for copy-number estimation, segmentation, annotation, and visualization in sequencing-based assays.
Workflow for Hi-C and related 3D genomics analyses including compartments, loops, TADs, differential contacts, and visualization.
Workflow for constraint-based metabolic modeling, context-specific models, gene essentiality, and systems-level interpretation.
Mass spectrometry proteomics QC, quantification, comparative analysis, and export for DDA, DIA, and protein-level result tables.
Review legal documents as an experienced attorney. Analyzes contracts, ToS, privacy policies, NDAs, and corporate docs section-by-section. Identifies risks, gaps, and unfavorable terms with specific replacement text for problematic clauses.
Feature prioritization frameworks - RICE scoring, ICE scoring, and Opportunity Solution Trees.
Analyze and optimize E-E-A-T signals (Experience, Expertise, Authority, Trust) for content credibility.
Build and measure topical authority through comprehensive coverage, content mapping, and competitor analysis.
Content optimization workflow covering keyword integration, semantic enhancement, structure optimization, and AI extractability. Use for improving existing content for both search engines and LLMs.