「quality」の検索結果

Annotate speech/TTS datasets with per-clip quality metrics (MOS, SNR, STOI, pitch, bandwidth, speaking rate, WER/CER, gender/emotion), multi-ASR consensus transcription and speaker labeling using the audiogear pipeline; then filter clips by quality and build listenable HTML QA reports. Use when asked to compute audio dataset metrics, build extended_metadata.csv, transcribe unlabeled audio, select clean TTS training data, or QA a speech dataset.

日本語の概要は準備中です。原文の説明を表示しています。

Quality control for flow, spectral, and mass cytometry - time-based anomaly cleaning (flowAI, flowCut, PeacoQC, flowClean), margin/boundary event removal, signal-drift detection, dead-cell exclusion, CyTOF Gaussian/DNA/event-length checks, instrument calibration/standardization (MESF, CS&T, peak-2), and batch-level outlier flagging. Use when assessing acquisition quality, choosing a cleaning tool, ordering QC relative to compensation, deciding margin removal before density-based steps, or flagging problematic samples before clustering or differential analysis.

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Performs differential expression on bulk RNA-seq count data with edgeR's negative-binomial GLM and quasi-likelihood F-test framework. Covers DGEList construction, filterByExpr, TMM/TMMwsp normalization, robust dispersion estimation, glmQLFit/glmQLFTest, TREAT for magnitude-bounded hypotheses, contrasts via no-intercept designs, voom and voomWithQualityWeights for heterogeneous samples, and the edgeR v4 bias-corrected APL changes. Use when running bulk DE with edgeR, choosing edgeR over DESeq2 (small n, transcript DE via catchSalmon, large samples), needing TREAT for a fold-change-threshold hypothesis, troubleshooting v3-to-v4 reproducibility, building paired or interaction designs, or handling library-quality heterogeneity.

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ATAC-seq library quality control -- TSS enrichment, FRiP, fragment-size periodicity, library complexity (NRF/PBC1/PBC2), mitochondrial fraction, and ENCODE 4 thresholds. Use when assessing whether an ATAC-seq library passes ENCODE acceptance criteria, diagnosing transposition artefacts, comparing Omni-ATAC vs standard prep quality, or selecting which replicates to drop before peak calling.

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Filter alignments by flags, mapping quality, and regions using samtools view and pysam. Use when extracting specific reads, removing low-quality alignments, or subsetting to target regions.

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Validate alignment quality with insert size distribution, proper pairing rates, GC bias, strand balance, and other post-alignment metrics. Use when verifying alignment data quality before variant calling or quantification.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluate and maximize GitHub repo quality from 7/10 to 10/10 perfect

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Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.

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Builds production-quality UIs. Use when building or modifying user-facing interfaces. Use when creating components, implementing layouts, managing state, or when the output needs to look and feel production-quality rather than AI-generated.

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Run a comprehensive code quality audit covering security, performance, and maintainability. Use for quarterly audits, pre-release reviews, or when onboarding to a large codebase.

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Expert-level hydrology covering the water cycle, surface water hydrology, groundwater, watershed analysis, flood hydrology, water quality, and water resource management.

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Expert-level environmental engineering covering water treatment, wastewater treatment, air quality, solid waste, site remediation, and environmental regulations.

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Comprehensive quality control for U.S. patent application filing documents. Use when the user asks to QC, check, validate, or review patent filing documents before submission to the USPTO. Performs 70+ automated and manual checks across specification, drawings, ADS, declaration, assignment, and power of attorney documents. Detects cross-document inconsistencies, formatting issues, missing required fields, and common errors.

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Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.

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Shared in-workflow quality gates for code/PR skills — the gate model, trust tiers, and the three primitives (evidence-before-done, independent judge, anti-gaming). DO NOT TRIGGER directly — referenced by consumer skills via relative path.

日本語の概要は準備中です。原文の説明を表示しています。

General code quality review — project guideline compliance, bug detection, code quality analysis.

日本語の概要は準備中です。原文の説明を表示しています。

General code quality review — project guideline compliance, bug detection, code quality analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Quality gate for agent-flow. Runs the repo's test, typecheck and lint commands in the issue worktree, re-runs failures once, reports raw output as JSON. Never modifies code. Use when launched with AGENT_FLOW_ROLE=qa after a review is approved.

日本語の概要は準備中です。原文の説明を表示しています。

[Code Quality] Use when reviewing rationale and change quality for plans, PBIs, commits, diffs, docs, specs, reports, or explicit artifacts.

日本語の概要は準備中です。原文の説明を表示しています。

[Code Quality] Use when reviewing UI/frontend changes for long-content overflow, responsive multi-screen layout (flex-wrap / row-to-column on small devices), flex-vs-fixed sizing, z-index discipline, SCSS/BEM styling quality, and async UI states & feedback (loading indicator, error surface, empty state).

日本語の概要は準備中です。原文の説明を表示しています。

[Quality] Use when setting up an agent quality harness with feedforward guides and feedback sensors.

日本語の概要は準備中です。原文の説明を表示しています。

[Quality] Use when you need to research and configure code quality tooling for any tech stack — linters, formatters, static analysis, pre-commit hooks, and CI gates.

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[Code Quality] Use when you need to review integration tests for assertion quality, bug protection, repeatability, and test-spec traceability — AND verify the review target (changed production code) has test coverage (integration-first) with spec↔test↔code alignment.

日本語の概要は準備中です。原文の説明を表示しています。

[DDD Quality] Use when you need to review domain entities and value objects for DDD design quality.

日本語の概要は準備中です。原文の説明を表示しています。