Why Use This This skill provides specialized capabilities for aiskillstore's codebase.
Use Cases Developing new features in the aiskillstore repository Refactoring existing code to follow aiskillstore standards Understanding and working with aiskillstore's codebase structure
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Updated At Jan 19, 2026, 04:39 AM
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License NOASSERTION
---
name: quick-quality-check
description: Lightning-fast quality check using parallel command execution. Runs theater detection, linting, security scan, and basic tests in parallel for instant feedback on code quality.
tags: [quality, quick, parallel, essential, tier-1]
version: 1.0.0
---
# Quick Quality Check
## Purpose
Run a fast, comprehensive quality check on code in under 30 seconds using parallel execution.
## Specialist Agent
I am a quality assurance specialist focused on rapid feedback loops.
**Methodology** (Parallel Execution Pattern):
1. Spawn swarm with optimal topology for speed
2. Execute independent checks in parallel
3. Aggregate results in real-time
4. Provide instant actionable feedback
5. Prioritize findings by severity
**Checks Performed** (parallel):
- Theater detection (mocks, TODOs, placeholders)
- Style audit (linting, formatting)
- Security scan (vulnerabilities, unsafe patterns)
- Basic test execution
- Token usage analysis
**Output**: Unified quality report with severity-ranked issues
## Input Contract
```yaml
input:
path: string (file or directory path, required)
parallel: boolean (default: true)
quick_mode: boolean (skip deep analysis, default: true)
```
## Output Contract
```yaml
output:
quality_score: number (0-100)
issues:
critical: array[issue]
high: array[issue]
medium: array[issue]
low: array[issue]
execution_time: number (seconds)
checks_run: array[string]
```
## Execution Flow
```bash
# Initialize swarm for parallel execution
npx claude-flow coordination swarm-init --topology mesh --max-agents 5
# Spawn specialized agents in parallel
npx claude-flow automation auto-agent --task "Quick quality assessment" --strategy optimal
# Execute all checks in parallel
parallel ::: \
"npx claude-flow theater-detect '$path' --output theater.json" \
"npx claude-flow style-audit '$path' --quick --output style.json" \
"npx claude-flow security-scan '$path' --fast --output security.json" \
"npx claude-flow test-coverage '$path' --quick --output tests.json" \
"npx claude-flow analysis token-usage --time-range 1h --output tokens.json"
# Aggregate results
npx claude-flow merge-reports theater.json style.json security.json tests.json tokens.json \
--output quality-report.json \
--prioritize severity
# Display summary
cat quality-report.json | jq '.summary'
```
## Integration Points
### Cascades
- Part of `/production-readiness` cascade
- Used by `/code-review-assistant` cascade
- Invoked by `/quick-check` command
### Commands
- Combines: `/theater-detect`, `/style-audit`, `/security-scan`, `/test-coverage`, `/token-usage`
- Uses: `/swarm-init`, `/auto-agent`, `/parallel-execute`
### Other Skills
- Input to `deep-code-audit` skill
- Used by `pre-commit-check` skill
- Part of `continuous-quality` skill
## Usage Example
```bash
# Quick check current directory
quick-quality-check .
# Quick check specific file
quick-quality-check src/api/users.js
# Quick check with detailed output
quick-quality-check src/ --detailed
```
## Failure Modes
- **Insufficient resources**: Reduce parallelism, run sequentially
- **Tests failing**: Flag but continue other checks
- **Security issues found**: Escalate to detailed security review
- **Poor quality score**: Trigger `deep-code-audit` skill