Architect and manage feature flags
feature-flags-architectpluginsetup L2★17,464
alirezarezvani/claude-skills ↗What it does
Classify, ship, ramp, and retire feature flags with phased rollout and debt detection
Best for
When shipping features requires disciplined flag management with rollout rings, stale-flag cleanup, and audit trails rather than ad-hoc toggles.
Inputs
- · feature definition: scope, rollout strategy (ring, linear, log, cohort)
- · flag provider + configuration
Outputs
- · flag classification: experiment, release, ops, etc.
- · phased rollout plan with abort criteria
- · stale flag detector (tracks debt)
- · kill-switch audit (every flag has documented kill path)
Requires
- · 3 stdlib Python tools (classifier, rollout planner, stale detector)
- · 4 references: flag taxonomy + provider trade-offs (LaunchDarkly, GrowthBook, Statsig, Unleash, Flipt, DIY) + rollout strategies + lifecycle
- · /flag-cleanup slash command
- · provider integrations (agnostic)
Preconditions
- · flag provider installed + configured
- · rollout strategy chosen
- · abort criteria defined
Failure modes
- · Phased rollout too slow, misses market window
- · Kill-switch audit finds flag with no documented retire path (becomes permanent debt)
- · Flag taxonomy doesn't match team's actual experiments vs releases
Trust signals
- · 3 stdlib Python tools (classifier, rollout planner, stale-flag detector)
- · 4 deep references (taxonomy + provider comparison + rollout strategies + lifecycle)
- · /flag-cleanup slash command
- · Cross-tool compatible (works with LaunchDarkly, GrowthBook, Statsig, Unleash, Flipt, DIY)