By antowaddle
Quality tooling and automation for RHOAI component development. Includes automated repository analysis, build validation, and test pattern extraction.
Analyzes historical blocking and critical bugs from Jira, determines what test coverage exists today with deep test inspection and confidence scoring, and generates standalone HTML reports. Use when assessing test gaps for a repository, analyzing bug coverage quality, or generating coverage reports from Jira data.
Simulates Konflux build environment on PRs to catch build failures before they reach production
Analyzes the PyTorch repository against ML framework-specific quality standards and provides actionable recommendations for improvement
Analyzes a repository's quality practices and provides actionable recommendations for improvement
Analyze PR for risk, test coverage, architecture impact, and cross-repo intelligence
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Quality tooling and automation for RHOAI component development.
This repository contains tools and documentation created by the Quality Tiger Team to improve quality practices across Red Hat OpenShift AI (RHOAI) components.
/.claude/skills/quality-repo-analysis/)Automated analysis tool that evaluates CI/CD, testing, security, and best practices against gold standards.
Usage:
/quality-repo-analysis https://github.com/org/repo
Outputs:
/.claude/skills/konflux-build-simulator/)Generates GitHub Actions workflows and local scripts that simulate Konflux builds before merge.
Usage:
/konflux-build-simulator https://github.com/org/repo
Outputs:
.github/workflows/konflux-build-simulator.ymlscripts/validate-konflux-build.shValidates:
/.claude/skills/test-rules-generator/)Extracts test patterns from existing tests and generates .claude/rules/ documentation.
Usage:
/test-rules-generator https://github.com/org/repo
Outputs:
testing-standards.md - Cross-cutting guidanceunit-tests.md - Unit test patternse2e-tests.md - E2E test patterns (if found)contract-tests.md - Contract test patterns (if found)mock-tests.md - Mock/component test patterns (if found)/.claude/skills/workflow-diagram-generator/)Generates Mermaid diagrams visualizing software development workflows and processes.
Usage:
/workflow-diagram-generator
Outputs:
/aggregate_quality_reports.py)Aggregates quality analysis reports across multiple repositories and generates combined reports with statistics.
Usage:
# Generate analysis commands for all configured repos
python aggregate_quality_reports.py --generate-commands
# Process existing reports and create combined report
python aggregate_quality_reports.py --reports-dir ./quality_reports \
--output-md combined_report.md \
--output-json summary.json
Outputs:
Features:
See AGGREGATOR_README.md for detailed documentation.
.
├── .claude/
│ └── skills/
│ ├── quality-repo-analysis/
│ │ ├── SKILL.md
│ │ └── instructions.md
│ ├── konflux-build-simulator/
│ │ ├── SKILL.md
│ │ └── instructions.md
│ ├── test-rules-generator/
│ │ ├── SKILL.md
│ │ └── instructions.md
│ ├── workflow-diagram-generator/
│ │ └── SKILL.md
│ └── shared/
│ ├── fingerprint_utils.py
│ └── jira_utils.py
├── docs/
│ └── diagrams/
├── aggregate_quality_reports.py # Report aggregation tool
├── repos_config.yaml # Repository configuration
├── run_batch_analysis.sh # Batch analysis helper
├── AGGREGATOR_README.md # Aggregator documentation
├── WORKFLOW.md # Analysis workflow guide
└── README.md
These tools are designed to be used with Claude Code (Anthropic's CLI tool for Claude).
Skills can be invoked using the /skill-name syntax in Claude Code:
# Analyze repository quality
/quality-repo-analysis https://github.com/opendatahub-io/odh-dashboard
# Generate build validation
/konflux-build-simulator https://github.com/opendatahub-io/odh-model-controller
# Extract test patterns
/test-rules-generator https://github.com/opendatahub-io/notebooks
# Generate workflow diagrams
/workflow-diagram-generator
Each skill includes:
SKILL.md - High-level overview and usageinstructions.md - Detailed implementation instructionsRepositories Tested:
npx claudepluginhub ikredhat/skills-registry --plugin quality-toolingDevelop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems