Feature Flag Strategy

PRO
Intermediate 45 min Verified 4.6/5

Design and implement feature flag rollout strategies including canary releases, A/B testing, percentage rollouts, and lifecycle management for safe continuous delivery.

Example Usage

I’m launching a risky database query optimization that could impact latency. Design a feature flag rollout strategy with canary release starting at 0.1%, automated rollback triggers if error rate exceeds 1%, and a 2-week cleanup schedule. Include monitoring metrics and escalation thresholds.
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Suggested Customization

DescriptionDefaultYour Value
Unique identifier for the flag following naming conventionfeature/new-checkout-flow
Initial flag state before targeting rules (false = legacy behavior)false
Percentage of users receiving the feature (0-100)0
User cohort receiving feature (internal, beta, premium, geography)all_users
Environment where flag is active (dev, staging, prod)production
Auto-cleanup date for flag removal2025-12-31
  1. Copy the skill content above or download the skill package
  2. Paste into your AI assistant (Claude, ChatGPT, Gemini, Copilot)
  3. Describe your feature and deployment context
  4. Receive a complete rollout strategy with flag classification, rollout schedule, monitoring thresholds, and cleanup plan

Use Cases

  • Planning a canary release for a risky backend change
  • Designing A/B test configuration with proper statistical setup
  • Managing feature flag lifecycle and technical debt
  • Setting up automated rollback triggers
  • Creating rollout strategies for database migrations
  • Implementing permission-based feature gating

Research Sources

This skill was built using research from these authoritative sources: