ab-test-setup
FreePlan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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Manage technology incidents end-to-end: severity classification, timeline reconstruction, stakeholder communication, and post-incident review with RCA frameworks.
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Comprehensive incident response framework from detection through resolution and post-incident review. Implements structured processes for severity classification, timeline reconstruction, and blameless PIRs.
Analyze the incident and assign SEV1-SEV4 using the severity matrix:
echo '{"description": "Users reporting 500 errors, database connections timing out", "affected_users": "80%", "business_impact": "high"}' | python scripts/incident_classifier.py
| Level | Definition | Response Time | Update Cadence |
|---|---|---|---|
| SEV1 | Complete service failure affecting all users | 5 min IC assigned | Every 15 min |
| SEV2 | Significant degradation, >25% users affected | 15 min on-call | Every 30 min |
| SEV3 | Limited impact, workarounds available | 2 hours biz hours | At milestones |
| SEV4 | Minimal impact, cosmetic, dev/test issues | 1-2 business days | Standard cycle |
Full severity criteria, escalation paths, and decision trees: references/incident_severity_matrix.md
IC Responsibilities:
Decision authority by severity:
Use severity-appropriate templates from references/communication_templates.md:
Stakeholder cadence matrix: references/communication_templates.md
python scripts/timeline_reconstructor.py --input events.json --gap-analysis --format markdown
Processes timestamped events from multiple sources into a chronological narrative with phase detection (detection, triage, mitigation, resolution) and gap analysis.
python scripts/pir_generator.py --incident incident_data.json --timeline timeline.md --rca-method fishbone --output pir.md
Applies RCA frameworks (5 Whys, Fishbone, Timeline, Bow Tie) and generates actionable follow-up items. See references/rca_frameworks_guide.md for framework selection guidance.
Severity classification from incident descriptions. Outputs severity level, recommended response teams, initial actions, and communication templates.
python scripts/incident_classifier.py --input incident.json --format text
echo "Database is down affecting all users" | python scripts/incident_classifier.py --format text
Reconstructs chronological timelines from timestamped events with phase detection and duration analysis.
python scripts/timeline_reconstructor.py --input events.json --gap-analysis --format markdown
Generates structured PIR documents with multiple RCA frameworks and automated action items.
python scripts/pir_generator.py --incident incident.json --rca-method fishbone --output pir.md
During Response:
Post-Incident:
| Document | Contents |
|---|---|
references/incident_severity_matrix.md | Full SEV1-4 criteria, escalation paths, decision trees |
references/communication_templates.md | Notification templates, stakeholder cadence, customer comms |
references/rca_frameworks_guide.md | 5 Whys, Fishbone, Timeline, Bow Tie methodology |
references/incident-response-framework.md | IC role details, runbook generation, integration points |
references/sla-management-guide.md | SLA tracking and management during incidents |
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Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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Web/mobile accessibility decision guide: WCAG 2.2 AA, ARIA, keyboard nav, focus management, contrast, testing. Use for: a11y, accessibility, wcag, aria, screen reader, keyboard, contrast.
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Generate, iterate, and scale ad creative for paid advertising across Google, Meta, LinkedIn, and X. Covers platform specs, creative frameworks, and quality validation.
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Musica interactiva para juegos: layering vertical, re-secuenciacion horizontal, stingers, reglas de transicion con sync points, y mapeo de estados de gameplay a musica. Usar para: musica adaptativa, sistema de musica dinamica, transiciones musicales, combat music.
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Design multi-agent systems, create agent architectures, define communication patterns, and build autonomous agent workflows with structured evaluation frameworks.
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Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, response formats, and quality loops.
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