About live-event-ops-review
A skill for planning live events as operational programs, aimed at teams responsible for event setup and delivery. It produces a runbook covering launch decisions, monitoring, rollback, support, and post-event review, with attention to fairness and operational risk.
Key features
- 01Map event setup and shutdown states
- 02Assess engagement and monetization goals
- 03Review fairness and operational risks
- 04Create launch and rollback plans
- 05Define monitoring and support procedures
Use cases
- 01Prepare a go/no-go review before an event
- 02Plan event monitoring and rollback
- 03Coordinate support and compensation during an event
- 04Review outcomes after an event
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ sylphxai/ skills --skill live-event-ops-reviewAfter installing, type/live-event-ops-reviewin Claude Code to confirm it loaded.
Bundled filesagents/openai.yamlreferences/live-event-ops-systems.md
Details
From the project READMELive Event Ops Review
Use this skill to run live events as controlled product operations, not calendar-driven chaos.
Workflow
- Identify event objective, audience, duration, eligibility, reward/offer, dependencies, and blast radius.
- Read
references/live-event-ops-systems.md. - Map event configuration, rollout, eligibility, inventory/rewards, notifications, monitoring, support, compensation, and shutdown states.
- Separate engagement goal, monetization goal, economy impact, fairness, operational risk, and trust risk.
- Produce an event runbook with go/no-go, metrics, rollback, support macros, and post-event review.
When not to use
- Do not use for generic advice the base model already handles without this skill's specific artifact contract.
Guardrails
- Do not launch an event without monitoring, support route, and rollback/compensation plan.
- Do not create rewards or offers that destabilize economy, pricing, or fairness without explicit mitigation.
- Avoid fake scarcity, unclear eligibility, and invisible rule changes.
Output format
Event context:
Objective and audience:
Runbook:
- setup:
- launch:
- monitor:
- support:
- end/settle:
Risks:
- <risk> -> metric, rollback, compensation
Post-event learning:
- decision, data, follow-up
Comments
Markdown supported