quality AI Agent Skills
Browse 67 skills related to quality
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
Testing Anti-Patterns
Common testing mistakes to avoid for reliable, maintainable tests
Red-Green-Refactor
Test-driven development cycle for writing reliable, well-designed code
Structured Code Review
Multi-stage code review process for thorough and constructive feedback
Verification Gates
Define checkpoints to validate work before proceeding to next phase
Test Patterns
Effective patterns for writing maintainable, reliable tests
test-coverage
On-demand test coverage analysis. Use when identifying untested code, finding test gaps, measuring coverage metrics, or improving test quality. Trigger keywords - "test coverage", "coverage report", "untested code", "test gaps", "missing tests", "coverage metrics".
audit
On-demand security and code quality audit. Use when checking for vulnerabilities, security issues, code smells, or compliance problems. Trigger keywords - "audit", "security check", "vulnerability scan", "code quality", "compliance", "security audit".
brutal-honesty-review
Unvarnished technical criticism combining Linus Torvalds' precision, Gordon Ramsay's standards, and James Bach's BS-detection. Use when code/tests need harsh reality checks, certification schemes smell fishy, or technical decisions lack rigor. No sugar-coating, just surgical truth about what's broken and why.
qe-holistic-testing-pact
Apply the Holistic Testing Model evolved with PACT (Proactive, Autonomous, Collaborative, Targeted) principles. Use when designing comprehensive test strategies for Classical, AI-assisted, Agent based, or Agentic Systems building quality into the team, or implementing whole-team quality practices.
code-review-quality
Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices.
holistic-testing-pact
Apply the Holistic Testing Model evolved with PACT (Proactive, Autonomous, Collaborative, Targeted) principles. Use when designing comprehensive test strategies for classical, AI-assisted, agent-based, or agentic systems to build quality into the team or implement whole-team quality practices.
qe-brutal-honesty-review
Unvarnished technical criticism combining Linus Torvalds' precision, Gordon Ramsay's standards, and James Bach's BS-detection. Use when code/tests need harsh reality checks, certification schemes smell fishy, or technical decisions lack rigor. No sugar-coating, just surgical truth about what's broken and why.
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
qe-bug-reporting-excellence
Write high-quality bug reports that get fixed quickly. Use when reporting bugs, training teams on bug reporting, or establishing bug report standards.
qe-verification-quality
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
test-idea-rewriting
Transform passive "Verify X" test descriptions into active, observable test actions. Use when test ideas lack specificity, use vague language, or fail quality validation. Converts to action-verb format for clearer, more testable descriptions.
bug-reporting-excellence
Write high-quality bug reports that get fixed quickly. Use when reporting bugs, training teams on bug reporting, or establishing bug report standards.
qe-code-review-quality
Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices.
slop-detector
Detect and flag AI-generated content markers in documentation and prose. Use when reviewing documentation for AI markers, cleaning up LLM-generated content, or auditing prose quality. Do not use when generating new content (use doc-generator) or learning writing styles (use style-learner).
verification-quality-assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
code-review
Battle-tested code review practices optimizing for codebase health and team velocity
code-review
Performs thorough code reviews with focus on best practices, security, performance, and maintainability. Use this skill when reviewing pull requests, auditing code quality, or getting feedback on implementations.
golden-dataset
Golden dataset lifecycle patterns for curation, versioning, quality validation, and CI integration. Use when building evaluation datasets, managing dataset versions, validating quality scores, or integrating golden tests into pipelines.
code-review-playbook
Use this skill when conducting or improving code reviews. Provides structured review processes, conventional comments patterns, language-specific checklists, and feedback templates. Use when reviewing PRs or standardizing review practices.
quality-gates
Use when assessing task complexity, before starting complex tasks, when stuck after multiple attempts, or reviewing code against best practices. Provides quality-gates scoring (1-5), escalation workflows, and pattern library management.
assess
Assesses and rates quality 0-10 with pros/cons analysis. Use when evaluating code, designs, or approaches.
audit-skills
Audits all OrchestKit skills for quality, completeness, and compliance with authoring standards. Use when checking skill health, before releases, or after bulk skill edits to surface SKILL.md files that are too long, have missing frontmatter, lack rules/references, or are unregistered in manifests.
review-pr
PR review with parallel specialized agents. Use when reviewing pull requests or code.
Advanced Mutation Testing
Advanced mutation testing using Stryker, PIT, and mutmut to measure test suite quality by introducing controlled mutations and tracking kill rates.
copy-editor
Detects AI writing patterns and fixes them. Use when reviewing any written output, including docs, READMEs, messages, PRDs. Based on Wikipedia's AI Cleanup patterns. Triggers on "copy edit", "review writing", "humanize", "deslopper", "ai patterns", "make it sound human".
dag-output-validator
Validates agent outputs against expected schemas and quality criteria. Ensures outputs meet structural requirements and content standards. Activate on 'validate output', 'output validation', 'schema validation', 'check output', 'output quality'. NOT for confidence scoring (use dag-confidence-scorer) or hallucination detection (use dag-hallucination-detector).
code-review-checklist
Generates comprehensive, context-aware code review checklists tailored to the specific codebase, programming language, and team standards. Analyzes PR diffs and suggests what reviewers should focus on.
skill-coach
Guides creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Activate on keywords: create skill, review skill, skill quality, skill best practices, skill anti-patterns, improve skill, skill audit. NOT for general coding advice, slash commands, MCP development, or non-skill Claude Code features.
dag-confidence-scorer
Assigns confidence scores to agent outputs based on multiple factors including source quality, consistency, and reasoning depth. Produces calibrated confidence estimates. Activate on 'confidence score', 'how confident', 'certainty level', 'output confidence', 'reliability score'. NOT for validation (use dag-output-validator) or hallucination detection (use dag-hallucination-detector).
dag-hallucination-detector
Detects fabricated content, false citations, and unverifiable claims in agent outputs. Uses source verification and consistency checking. Activate on 'detect hallucination', 'fact check', 'verify claims', 'check accuracy', 'find fabrications'. NOT for validation (use dag-output-validator) or confidence scoring (use dag-confidence-scorer).
dag-iteration-detector
Identifies when task outputs require iteration based on quality signals, unmet requirements, or explicit feedback. Triggers appropriate re-execution strategies. Activate on 'needs iteration', 'retry needed', 'not good enough', 'try again', 'refine output'. NOT for feedback generation (use dag-feedback-synthesizer) or convergence tracking (use dag-convergence-monitor).
skill-logger
Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities. Expert in skill analytics, quality metrics, feedback loops, and continuous improvement. Activate on "skill logging", "skill quality", "skill analytics", "skill scoring", "skill performance", "skill metrics", "track skill usage", "skill improvement". NOT for creating skills (use agent-creator), skill documentation (use skill-coach), or runtime debugging (use debugger skills).
code-analyzer
Code quality analysis skill for tbdflow, covering smells, maintainability, and refactoring guidance.
code-review
Systematic code analysis with evidence collection
e2e-test
End-to-end testing workflow for validating complete user journeys through web applications using claude-in-chrome MCP. Specializes in test assertions, suite organization, evidence collection, and pass/fail reporting.
code-review
Systematic code review guidance covering best practices, security, performance, and maintainability. Use when reviewing code, checking PRs, or analyzing code quality.
codex-review-workflow
Automated code review workflow using OpenAI Codex CLI. Implements iterative fix-and-review cycles until code passes validation or reaches iteration limit. Use when building features requiring automated code validation, security checks, or quality assurance through Codex CLI.
Skill Validator
Validates that a skill or MCP implementation matches its manifest by running Codex-powered semantic comparisons across descriptions, preconditions, effects, and API surface.
quality-audit
Meta-skill for auditing and validating skill quality. Use when reviewing skills for consistency, completeness, accuracy, and adherence to standards. Provides structured rubrics, scoring frameworks, and actionable recommendations.
code-review-playbook
Use this skill when conducting or improving code reviews. Provides structured review processes, conventional comment patterns, language-specific checklists, and feedback templates. Ensures consistent, constructive, and thorough code reviews across teams.
skill-md-validator
Validates SKILL.md files for format, completeness, and best practices
rulebook-quality-gates
Automated quality checks and enforcement for code commits. Use when validating code quality, running pre-commit checks, ensuring test coverage, or enforcing coding standards before commits and pushes.