spec-driven-qa
Enforces strict QA validation and spec compliance for story implementations.
Install
mkdir -p .claude/skills/spec-driven-qa && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13015" && unzip -o skill.zip -d .claude/skills/spec-driven-qa && rm skill.zipInstalls to .claude/skills/spec-driven-qa
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Validates code quality through spec-driven QA validation with structural anti-skip enforcement. Replicates all 6 phases of the DevForgeAI QA workflow using the Execute-Verify-Gate pattern at every step. Designed to prevent token optimization bias through lean orchestration, fresh-context subagent delegation, and binary CLI gate enforcement. Enforces test coverage (95%/85%/80% strict thresholds), detects anti-patterns, validates spec compliance, and analyzes code quality metrics. Use when validating implementations, ensuring quality standards, or preparing for release. Always use this skill when the user runs /qa or mentions QA validation, quality checks, or coverage analysis.Key capabilities
- →Validate code quality through spec-driven QA
- →Enforce coverage thresholds (95%/85%/80%)
- →Detect anti-patterns in code
- →Validate spec compliance (AC/API/NFR)
- →Analyze code quality metrics
How it works
The skill executes a 6-phase QA workflow, enforcing coverage, anti-pattern detection, and spec compliance using an Execute-Verify-Gate pattern at each step.
Inputs & outputs
When to use spec-driven-qa
- →Running QA validation
- →Checking test coverage
- →Validating spec compliance
- →Detecting anti-patterns
About spec-driven-qa
Executes a comprehensive QA workflow that includes coverage analysis, anti-pattern detection, and spec compliance checks. It enforces binary CLI gates to ensure quality standards are met before release.
>
When not to use it
- →When encountering obstacles that would lead to bypassing safety checks
- →When attempting to manually invoke hook scripts to bypass conviction gates
- →When writing placeholder content to satisfy substance checks
Limitations
- →Does not bypass conviction gates by manually invoking hook scripts
- →Does not `file edit` subagent worklog files post-hoc
- →Does not write placeholder content to satisfy substance checks
How it compares
This skill provides a structured, enforced QA workflow with binary CLI gates, contrasting with less rigorous or manual quality assurance processes.
Compared to similar skills
spec-driven-qa side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| spec-driven-qa (this skill) | 0 | 1mo | Review | Advanced |
| verify | 6 | 6mo | No flags | Beginner |
| code-change-verification | 4 | 4mo | Review | Beginner |
| springboot-verification | 4 | 4mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by bankielewicz
View all by bankielewicz →You might also like
verify
Use when you want to validate changes before committing, or when you need to check all React contribution requirements.
code-change-verification
openai
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
springboot-verification
affaan-m
Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.
moai-workflow-testing
modu-ai
Comprehensive development workflow specialist combining DDD testing, debugging, performance optimization, code review, PR review, and quality assurance into unified development workflows
resolve-checks
flowglad
Resolve all failing CI checks and address PR review feedback on the current branch's PR. Runs tests locally, fixes failures, incorporates valid review comments, and resolves addressed feedback. Use when CI is red, after receiving PR feedback, or before merging.
verification-quality-assurance
ruvnet
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.