Guide for writing SELECT, INSERT, UPDATE, DELETE queries with workers-qb
GitLab 開發者評估與分析技能，使用 gl-cli.py 工具分析開發者的程式碼品質、提交歷史、專案參與度與技術水平，並產生綜合評估報告。
Detect sample contamination and cross-species reads using FastQ Screen. Screen reads against multiple reference genomes to identify bacterial, viral, adapter, or sample swap contamination. Use when suspecting cross-contamination or working with samples prone to microbial contamination.
Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.
Generate and interpret quality reports from FASTQ files using FastQC and MultiQC. Assess per-base quality, adapter content, GC bias, duplication levels, and overrepresented sequences. Use when performing initial QC on raw sequencing data or validating preprocessing results.
Quality control and exploration of RNA-seq count matrices before differential expression. Check for outliers, batch effects, and sample relationships. Use when assessing count matrix quality before DE analysis.
Sequencing quality control skill for assessing read quality, adapter contamination, and sequence composition
Assess genome assembly quality using QUAST for contiguity metrics and BUSCO for completeness. Essential for evaluating assembly success and comparing assemblers. Use when evaluating assembly completeness and quality.
All-in-one read preprocessing with fastp including adapter trimming, quality filtering, deduplication, base correction, and HTML report generation. Use when preprocessing Illumina data and wanting a single fast tool instead of separate Cutadapt, Trimmomatic, and FastQC steps.
GitLab CLI (glab) wrapper for MR status, issues, and repository operations
Advanced Python unit testing framework for customer support tech enablement, covering FastAPI, SQLAlchemy, PostgreSQL, async operations, mocking, fixtures, parametrization, coverage, and comprehensive testing strategies for backend support systems
Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.
Fix, create, or validate FiveM server resources for QBCore/ESX (config.lua, fxmanifest.lua, items, housing/furniture, scripts, MLOs). Use when asked to debug resource errors, convert ESX↔QB, update fxmanifest versions, add items, or source scripts from GitHub. Also use for SSH key generation for SFTP access.
RNA-seq specific quality control including rRNA contamination detection, strandedness verification, gene body coverage, and transcript integrity metrics. Use when validating RNA-seq libraries before differential expression analysis.
Expert guide for developing, debugging, and interacting with the Intuit QuickBooks Online API (v3). Use when writing QBO integration code, debugging API errors (Business Validation Error, Stale Object Error), handling OAuth2 tokens and realms, generating reports, or working with QBO Data Services queries. Applies to Node.js, Python, C#, and Deno implementations.
Reference guide for glab commands covering issues, merge requests, pipelines, releases, and CI/CD—includes common workflows and syntax examples
CLI/Python toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST/batch processing, use biopython. For multi-database integration, use bioservices.
スケーラブルな自動化のためのマルチステージワークフロー、キャッシング、分散ランナーを備えたGitLab CI/CDパイプラインを構築。GitLab CI/CDの実装、パイプラインパフォーマンスの最適化、または自動テストとデプロイメントのセットアップ時に使用。
