Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
日本語の概要は準備中です。原文の説明を表示しています。
Write high-quality bug reports that get fixed quickly. Use when reporting bugs, training teams on bug reporting, or establishing bug report standards.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
<default_to_action> When reporting bugs:
[Component] fails [Condition] causing [Impact]Bug Report Formula:
## [Component] Issue Title
**Severity:** Critical/High/Medium/Low
**Environment:** Production/Staging/Dev
### Expected Behavior
What should happen
### Actual Behavior
What actually happens (with error messages)
### Steps to Reproduce
1. Step one
2. Step two
3. Observe issue
### Impact
How this affects users/business
Critical Success Factors:
| Level | Definition | Examples |
|---|---|---|
| Critical | System down, data loss, security | DB deleted, payments broken, credentials exposed |
| High | Major feature broken, many users | Can't checkout, search broken, dashboard fails |
| Medium | Partial break, workaround exists | Filter broken (refresh works), slow export |
| Low | Cosmetic, rare edge case | Button wraps on mobile, tooltip wrong color |
❌ Bad: "Checkout broken" ✅ Good: "Payment fails with Visa cards when order total > $1000"
Pattern: [Component] fails [Condition] causing [Impact]
Browser: Chrome 120.0.6099.109 (Windows)
OS: Windows 11 Pro
URL: https://example.com/checkout
Date/Time: 2025-10-17 14:23 UTC
User: test@example.com (ID: 12345)
Request ID: abc-123-def-456
Error Messages:
{
"error": "Payment service unavailable",
"code": "GATEWAY_TIMEOUT",
"requestId": "abc-123-def-456"
}
Console Logs:
[ERROR] PaymentGateway: Connection timeout after 30000ms
at PaymentGateway.charge (gateway.js:145)
## [Checkout] Payment processing times out for orders > $1000
**Severity:** High
**Environment:** Production
**Affected Users:** ~15% of premium purchases
### Expected Behavior
Payment completes within 5 seconds regardless of amount.
### Actual Behavior
For orders above $1000, payment gateway times out after 30 seconds.
User sees "Payment failed" error. Order not created.
### Steps to Reproduce
1. Add items totaling $1,050 to cart
2. Proceed to checkout
3. Enter payment: Visa 4532 1234 5678 9010
4. Click "Place Order"
5. Wait 30+ seconds
6. Observe timeout error
### Environment
- Browser: Chrome 120 (Windows 11)
- User: test@example.com
- Request ID: abc-123-def-456
### Evidence
Console error: `PaymentGateway timeout: 30000ms exceeded`
Network: /api/checkout: 30.14s (timeout)
### Impact
- Lost revenue: ~$15K/week from failed orders
- 23 support tickets this week
- Affects 15% of orders over $1000
### Additional Context
Started after Oct 15 deployment (v2.3.0)
Possibly related to PR #456 (fraud check)
| ❌ Bad | Problem | ✅ Good |
|---|---|---|
| "Checkout is broken" | What doesn't work? | "Payment button doesn't respond when clicked" |
| "I saw an error" | No reproduction steps | Full steps with conditions |
| "Page loads slowly" | No specifics | "Dashboard takes 12s to load (should be <3s)" |
| Multiple bugs in one | Can't track separately | One report per bug |
// Automated bug triage
const triage = await Task("Triage Bug", {
title: 'Payment fails for orders > $1000',
description: bugDescription,
steps: reproductionSteps
}, "qe-quality-analyzer");
// Returns: { severity, priority, component, suggestedAssignee, relatedIssues }
// Duplicate detection
const dupeCheck = await Task("Check Duplicates", {
bugReport: newBug,
similarityThreshold: 0.85
}, "qe-quality-analyzer");
// Bug report enhancement
const enhanced = await Task("Enhance Report", {
originalReport: userSubmittedBug,
addMissingInfo: true,
identifyRootCause: true
}, "qe-production-intelligence");
aqe/bug-reports/
├── triaged/* - Bug triage results
├── duplicates/* - Duplicate detection
├── patterns/* - Recurring bug patterns
└── root-cause/* - Root cause analyses
const bugFleet = await FleetManager.coordinate({
strategy: 'bug-investigation',
agents: [
'qe-quality-analyzer', // Triage and categorize
'qe-flaky-test-hunter', // Check if test-related
'qe-production-intelligence' // Check production logs
],
topology: 'parallel'
});
Your bug report is the starting point for someone else's work. Make it complete (all info needed), clear (anyone can follow), concise (no noise), and actionable (developer knows next step).
Good bug reports = Faster fixes = Better product = Happier users
/test-failure-investigator for root cause/regression-testing to add test preventing recurrence/test-metrics-dashboard for trend analysisまだレビューはありません。使ってみた感想をお寄せください。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
日本語の概要は準備中です。原文の説明を表示しています。
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
日本語の概要は準備中です。原文の説明を表示しています。
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
日本語の概要は準備中です。原文の説明を表示しています。