Sequential test improvement — scan test structure, identify gaps (missing edge cases, non-table-driven tests), refactor to table-driven or parametrized form, add missing coverage, and verify tests pass after each change.
Weekly experiment tracking loop for MD Home Care. Scans content changes, measures traffic impact via PostHog and GSC, and makes keep/iterate/revert decisions with lag-adjusted attribution.
Autonomous RLHF feedback capture - Claude self-captures mistakes and successes
Instrument the application with Logging, Metrics, and Tracing (OpenTelemetry) to understand system behavior and debug production issues.
Data Quality (DQ) Monitoring is the continuous process of validating data against predefined rules and expectations. In a modern data stack, monitoring must happen at every stage: **Ingestion**, **Tra
Data Quality Checks are automated tests that validate data against predefined rules and expectations. They act as the "unit tests" for data, catching issues before they propagate downstream to analyti
Review all prototypes at once for cross-prototype consistency, coverage gaps, ADR follow-through, and scope discipline. Use for a full audit of all prototypes.
Validates Conductor project artifacts for completeness, consistency, and correctness. Use after setup, when diagnosing issues, or before implementation to verify project context.
（中文）When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.
A skill that serves as a guide to the right way to set up tests in various languages.
Systematically investigate all persistence mechanisms on Windows and Linux systems to identify how malware survives reboots and maintains access.
Taxonomy of ACSet skills with morphisms to semantically similar categorical/relational skills
Modern RDKit workflows for cheminformatics, including molecular fingerprints, drawing, and property calculations. Use when working with molecules, SMILES, molecular fingerprints (Morgan, ECFP, RDKit, atom pairs, topological torsions), molecule visualization/drawing, substructure search, or chemical property calculations. This skill provides up-to-date syntax patterns as RDKit's API evolves.
SMILES Comprehensive Analysis - Comprehensive SMILES analysis: validate, convert name, compute all molecular descriptors, and predict ADMET. Use this skill for cheminformatics tasks involving is valid smiles ChemicalStructureAnalyzer calculate mol basic info pred molecule admet. Combines 4 tools from 3 SCP server(s).
Decodes mathematical and physical formulas using a 5-stage process: Confusion, Intuition, Symbol Mapping, Limit Testing, and Dimension Ascension. Combines the styles of Feynman, Sanderson, Euclid, and Victor for deep understanding.
Expert-level aerospace systems, flight management, maintenance tracking, aviation safety, and aerospace software
Expert-level precision agriculture, farm management systems, crop monitoring, and agtech
Expert-level data science, analytics, visualization, and statistical modeling
First principles analysis. USE WHEN first principles, fundamental, root cause, decompose. SkillSearch('firstprinciples') for docs.
