Packs
3 packscurated
Python Test Suite with Coverage
Develop a comprehensive Python test suite using pytest, measure coverage, and increase to 100%.
3 skills · pack
@dotnet
Dotnet Test
Skills for running, generating, analyzing, and improving .NET tests: test execution, filtering, platform detection, coverage, testability, and MSTest workflows.
20 skills · pack
curated
Review and Merge PR
Review a GitHub PR with structured analysis including blast radius, security, test coverage, and performance, then verify and merge.
8 skills · pack
Results for “coverage”
8 skills
dotnet coverage-analysis
Analyzes .NET project code coverage and CRAP (Change Risk Anti-Patterns) scores to identify risk hotspots, methods blocking coverage gains, and prioritize where to add tests.
4k · bundle
lingxling gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
253 · bundle
tinh2 metrics
Mines git history to compute development quality, velocity, and stability metrics, compares them against stored baselines, and tracks improvement over time.
13
More results
microsoft kql
Write correct, efficient Kusto Query Language queries with coverage of syntax, joins, dynamic types, datetime pitfalls, regex, serialization, memory management, and advanced functions.
2.7k · bundle
alirezarezvani commercial-forecaster
Build a quarterly bookings forecast with commit, best-case, and pipe-only tiers, project cohort-level NRR/GRR to surface leaky cohorts, and score per-stage funnel confidence using coefficient-of-variation analysis.
20.4k · bundle
gabrielmoreira polars-bio
Perform fast genomic interval operations (overlap, nearest, merge, coverage, cluster, complement, subtract, count-overlaps), multi-format bioinformatics I/O, DataFusion SQL, and pileup on Polars DataFrames via the polars-bio library, serving as a scalable alternative to bioframe and bedtools.
17 · bundle
k-dense-ai gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
30.2k · bundle
k-dense-ai polars-bio
Perform high-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames, including overlap, nearest, merge, coverage, complement, subtract, and reading/writing BED, VCF, BAM, GFF, FASTA, and FASTQ formats with streaming and cloud-native support.
30.2k · bundle