a11y-ally
Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse,…
Apply XP practices including pair programming, ensemble programming, continuous integration, and sustainable pace. Use when implementing agile development practices, improving team collaboration, or adopting technical excellence practices.
$ npx -y skills add proffesor-for-testing/agentic-qe --skill xp-practices --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/xp-practicesContext preview
The summary Claude sees to decide when to auto-load this skill.
Apply XP practices including pair programming, ensemble programming, continuous integration, and sustainable pace. Use when implementing agile development practices, improving team collaboration, or adopting technical excellence practices.
name: xp-practices description: "Apply XP practices including pair programming, ensemble programming, continuous integration, and sustainable pace. Use when implementing agile development practices, improving team collaboration, or adopting technical excellence practices." category: methodology priority: medium tokenEstimate: 1000 agents: [qe-quality-analyzer, qe-test-executor, qe-code-reviewer] implementation_status: optimized optimization_version: 1.0 last_optimized: 2025-12-03 dependencies: [] quick_reference_card: true tags: [xp, agile, pair-programming, tdd, continuous-integration, collaboration] trust_tier: 0 validation:
<default_to_action> When applying XP practices: 1. START with practices that give immediate value 2. BUILD supporting practices gradually 3. ADAPT to your context 4. MEASURE results
**Core XP Practices (Prioritized):** | Practice | Start Here | Why First | |----------|------------|-----------| | TDD | ✅ Yes | Foundation for everything | | Continuous Integration | ✅ Yes | Fast feedback | | Pair Programming | ✅ Yes | Knowledge sharing | | Collective Ownership | After CI+TDD | Needs safety net | | Small Releases | After CI | Infrastructure dependent |
**Pairing Quick Start:**
Driver-Navigator (Classic): - Driver: Writes code - Navigator: Reviews, thinks ahead - Rotate every 20-30 min Ping-Pong (with TDD): A: Write failing test B: Make test pass + refactor B: Write next failing test A: Make test pass + refactor
</default_to_action>
| Context | Pair? | Why | |---------|-------|-----| | Complex/risky code | ✅ Always | Needs multiple perspectives | | New technology | ✅ Always | Learning accelerator | | Onboarding | ✅ Always | Knowledge transfer | | Critical bugs | ✅ Always | Two heads better | | Simple tasks | ❌ Skip | Not worth overhead | | Research spikes | ❌ Skip | Pair to discuss findings |
---
// Agent-human pair testing
const charter = "Test payment edge cases";
const tests = await Task("Generate Tests", { charter }, "qe-test-generator");
const reviewed = await human.review(tests);
await Task("Implement", { tests: reviewed }, "qe-test-generator");
// Continuous integration with agents
await Task("Risk Analysis", { prDiff }, "qe-regression-risk-analyzer");
await Task("Generate Tests", { changes: prDiff }, "qe-test-generator");
await Task("Execute Tests", { scope: 'affected' }, "qe-test-executor");
// Sustainable pace: agents handle grunt work
const agentWork = ['regression', 'data-generation', 'coverage-analysis'];
const humanWork = ['exploratory', 'risk-assessment', 'strategy'];---
aqe/xp-practices/ ├── pairing-sessions/* - Pair/ensemble session logs ├── ci-metrics/* - CI health metrics ├── velocity/* - Team velocity data └── retrospectives/* - XP retrospective notes
const xpFleet = await FleetManager.coordinate({
strategy: 'xp-workflow',
agents: [
'qe-test-generator', // TDD support
'qe-test-executor', // CI integration
'qe-code-reviewer' // Collective ownership
],
topology: 'parallel'
});---
---
**XP practices work as a system** - TDD enables collective ownership, CI enables small releases, pairing enables collective ownership. Don't cherry-pick randomly.
**With Agents:** Pair humans with agents. Agents handle repetitive work (regression, data generation, coverage analysis), humans provide judgment and creativity.
AI-powered quality engineering agents that generate tests, find coverage gaps, detect flaky tests, and learn your codebase patterns — across 11 coding agent platforms.
Repo: proffesor-for-testing/agentic-qe
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