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Code Review & Quality
Code review, refactoring, debugging, maintainability, and engineering quality
- 15,957
- 665
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Showing 11,233–11,256 of 15,957 skills
- Graph Data And Datasets"Use CogDL graph data objects, custom datasets, built-in datasetVotes: 0GitHub stars: 247
- Code Review Graph"Use code-review-graph for local-first CLI/MCP code knowledgeVotes: 0GitHub stars: 247
- ExportRoutes Chainer model export workflows for ONNX-Chainer and Caffe.Votes: 0GitHub stars: 247
- Installation Diagnostics"Diagnose and fix bitsandbytes installation, import, backendVotes: 0GitHub stars: 247
- Translation"Run and troubleshoot checkpoint translation with translate.py andVotes: 0GitHub stars: 247
- Model Architecture"Instantiate and debug the attention-is-all-you-need-pytorchVotes: 0GitHub stars: 247
- Custom Models"Build or debug Asteroid custom models, blocks, registries, DSPVotes: 0GitHub stars: 247
- Asteroid"Route Asteroid tasks to the right sub-skill for pretrainedVotes: 0GitHub stars: 247
- Data And TrainingPrepares AnyDoor datasets, preprocessing, training, and weight conversion.Votes: 0GitHub stars: 247
- Pipeline Composition"Build, edit, validate, seed, and debug Albumentations augmentationVotes: 0GitHub stars: 247
- Repo Development"Modify the ADK Python repository itself with repo-specific setup,Votes: 0GitHub stars: 247
- Issue Context ReviewEnrich code reviews with business context by finding the linked issue/ticket from branch name or PR/MR description. Validates that code changes satisfy acceptance criteria and business requirements before reviewing.Votes: 0GitHub stars: 6
- Hotfix Emergency ReviewUse when performing hotfix emergency review — expedited review process template for production hotfixes covering incident correlation, minimal change verification, rollback readiness, regression risk assessment, and post-incident follow-up tracking. Provides a streamlined but thorough review framework for emergency fixes that balances speed with safety.Votes: 0GitHub stars: 6
- Github Pr Review ChecklistPost structured review checklists as comments on GitHub pull requests. Summarizes code review findings with categorized checks, severity indicators, and actionable feedback.Votes: 0GitHub stars: 6
- Architecture Decision RecordUse when performing architecture decision record — architecture Decision Record (ADR) template covering context, decision drivers, considered options, decision outcome, consequences, and status tracking. Based on the MADR format. Use for documenting significant technical decisions with full rationale.Votes: 0GitHub stars: 6
- Managing SourceryUse when working with Sourcery — sourcery AI code quality and refactoring management including automated refactoring suggestions, code quality scoring, duplicate detection, and PR review integration. Use when configuring Sourcery for automated code improvement, quality gates, and refactoring workflows.Votes: 0GitHub stars: 6
- Managing SegmentUse when working with Segment — segment CDP management — monitor sources, destinations, event delivery, tracking plans, and data quality. Use when inspecting event flow, debugging destination failures, auditing tracking plan violations, or reviewing workspace configuration.Votes: 0GitHub stars: 6
- Managing ReviewdogUse when working with Reviewdog — reviewdog automated code review management. Covers linter integration, PR comment configuration, CI setup, reporter configuration, and multi-tool orchestration. Use when managing Reviewdog CI integration, configuring linter reporters, debugging review comments, or setting up automated code review workflows.Votes: 0GitHub stars: 6
- Managing Pullrequest ComUse when working with Pullrequest Com — pullRequest professional code review service management including reviewer pool configuration, review SLAs, quality standards, and integration with GitHub/GitLab/Bitbucket. Use when managing PullRequest.com professional review workflows, reviewer expertise matching, and review quality tracking.Votes: 0GitHub stars: 6
- Managing MparticleUse when working with Mparticle — mParticle CDP management — monitor inputs, outputs, data plans, event forwarding, and audience health. Use when debugging event delivery, reviewing data quality rules, auditing integrations, or inspecting audience segment configurations.Votes: 0GitHub stars: 6
- Managing CodesceneUse when working with Codescene — codeScene behavioral code analysis including code health scoring, hotspot detection, change coupling analysis, and PR integration for code quality gates. Use when configuring CodeScene for codebase visualization, technical debt prioritization, and automated code review feedback.Votes: 0GitHub stars: 6
- Managing CoderabbitUse when working with Coderabbit — codeRabbit AI code review management including automated review comments, auto-suggestions, review customization, and learning from feedback. Use when configuring CodeRabbit for AI-assisted code review, custom review rules, and automated suggestion workflows.Votes: 0GitHub stars: 6
- Analyzing SonarqubeSonarQube code quality and security analysis. Use when working with code quality metrics, security hotspots, quality gates, or issue tracking in SonarQube Cloud or Server.Votes: 0GitHub stars: 6
- Writing SkillsCreates and refines agent skills using TDD methodology with pressure testing and rationalization detection. Use when creating new skills, editing existing skills, testing skills with pressure scenarios, or verifying skills work before deployment.Votes: 0GitHub stars: 4