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Skillv1.0.0

feature-flag-management

Feature flag lifecycle management -- safe feature toggling, gradual rollouts, A/B testing patterns, flag cleanup strategies, and technical debt prevention. Covers LaunchDarkly, Unleash, OpenFeature, a

by oimiragieo(0) 0 installs
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About

Imported from oimiragieo/agent-studio (.claude/skills/feature-flag-management/SKILL.md). Install upstream with npx skills add oimiragieo/agent-studio --skill feature-flag-management. Copyright stays with the author.

Feature Flag Management Skill

Overview

Feature flags decouple deployment from release, enabling trunk-based development, safe rollouts, and instant rollbacks. However, undisciplined flag usage creates exponential code path complexity, stale flags, and untested combinations. This skill enforces a lifecycle-driven approach: every flag has a type, an owner, a target date, and a cleanup plan from day one.

When to Use

  • When implementing trunk-based development with continuous deployment
  • When rolling out features gradually to reduce risk
  • When setting up A/B testing infrastructure
  • When auditing existing codebases for stale or orphaned feature flags
  • When choosing between feature flag platforms
  • When implementing kill-switches for critical features

Iron Laws

  1. ALWAYS assign an owner and expiration date to every feature flag -- orphaned flags without owners accumulate indefinitely and become permanent tech debt.
  2. NEVER nest feature flags more than 2 levels deep -- combinatorial explosion makes testing impossible (2 flags = 4 states, 5 flags = 32 states, 10 flags = 1024 states).
  3. ALWAYS default flag values to the existing/safe behavior -- if the flag system fails, the application should behave as it did before the flag was added.
  4. NEVER use feature flags as a substitute for configuration management -- flags are temporary toggles for release control, not permanent application settings.
  5. ALWAYS clean up flags within 30 days of full rollout -- stale flags in code increase cognitive load, slow onboarding, and hide dead code paths.

Anti-Patterns

Anti-Pattern Why It Fails Correct Approach
Creating flags without expiration dates or owners Flags become permanent; nobody knows if they can be removed Require owner and target-date fields at creation time; alert on overdue flags
Nesting 3+ flags in conditional logic Testing requires covering all combinations; bugs hide in untested paths Limit nesting to 2 levels; combine related flags into a single multi-valued flag
Defaulting new features to ON when flag is missing Flag system outage enables untested features for all users Default to OFF (existing behavior); explicitly enable after validation
Using flags for permanent configuration Config changes require code deploys to remove; defeats the purpose of config Use environment variables or config files for permanent settings; flags are temporary
Testing only with flags ON or only with flags OFF Misses interaction bugs between flag states Test both states; add flag-combination matrix to CI for critical flags

Workflow

Step 1: Flag Classification

Classify every flag before creation:

Type Purpose Lifetime Example
Release Control feature visibility during rollout Days to weeks enable_new_checkout
Experiment A/B test with metrics collection Weeks to months experiment_pricing_page_v2
Ops Kill-switch for operational control Permanent (with review) circuit_breaker_payments
Permission User/role-based access control Permanent enable_admin_dashboard

Step 2: Implementation Pattern

// OpenFeature SDK pattern (vendor-neutral)
import { OpenFeature } from '@openfeature/server-sdk';

const client = OpenFeature.getClient();

// Typed flag evaluation with safe default
const showNewUI = await client.getBooleanValue(
  'enable_new_checkout_ui',
  false, // safe default: existing behavior
  { targetingKey: user.id, attributes: { plan: user.plan } }
);

if (showNewUI) {
  renderNewCheckout();
} else {
  renderLegacyCheckout();
}

Step 3: Gradual Rollout Strategy

Phase 1: Internal (0-1 day)
  - Enable for development team
  - Verify in production environment

Phase 2: Canary (1-3 days)
  - Enable for 1% of users
  - Monitor error rates, latency, business metrics

Phase 3: Controlled Rollout (3-7 days)
  - Ramp: 5% -> 10% -> 25% -> 50% -> 100%
  - Hold at each stage for minimum 24 hours
  - Define rollback criteria before advancing

Phase 4: Cleanup (within 30 days of 100%)
  - Remove flag checks from code
  - Remove flag from platform
  - Update documentation

Step 4: Flag-Aware Testing

// Test both flag states in CI
describe('Checkout Flow', () => {
  describe('with new_checkout_ui enabled', () => {
    beforeEach(() => {
      flagProvider.setOverride('enable_new_checkout_ui', true);
    });

    it('should render new checkout components', () => {
      // test new path
    });
  });

  describe('with new_checkout_ui disabled', () => {
    beforeEach(() => {
      flagProvider.setOverride('enable_new_checkout_ui', false);
    });

    it('should render legacy checkout components', () => {
      // test legacy path
    });
  });
});

Step 5: Stale Flag Detection

# Find flags older than 30 days that are fully rolled out
# Custom script pattern for codebase scanning
grep -rn 'isEnabled\|getBooleanValue\|getFlag' src/ | \
  awk -F"'" '{print $2}' | \
  sort -u > active_flags.txt

# Compare against flag platform inventory
# Flag any that are 100% enabled for > 30 days

Step 6: Cleanup Checklist

For each flag being retired:

  • Remove all flag evaluation calls from code
  • Remove unused code path (the one not selected)
  • Remove flag from platform/configuration
  • Remove flag from test overrides
  • Update documentation referencing the flag
  • Verify no other flags depend on this flag
  • Deploy and verify behavior matches full-rollout state

Complementary Skills

Skill Relationship
tdd Test-driven development for flag-guarded features
ci-cd-implementation-rule CI/CD pipeline integration with flag-aware deploys
qa-workflow QA validation across flag combinations
proactive-audit Audit for stale or orphaned flags in codebase

Memory Protocol (MANDATORY)

Before starting:

Read .claude/context/memory/learnings.md for prior feature flag patterns and platform-specific decisions.

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md

ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/oimiragieo-agent-studio-feature-flag-management/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

oimiragieo-agent-studio-feature-flag-management.ocm.jsonjson
{
  "ocm": "1",
  "id": "oimiragieo-agent-studio-feature-flag-management",
  "kind": "skill",
  "name": "feature-flag-management",
  "description": "Feature flag lifecycle management -- safe feature toggling, gradual rollouts, A/B testing patterns, flag cleanup strategies, and technical debt prevention. Covers LaunchDarkly, Unleash, OpenFeature, and custom implementations.",
  "publisher": "oimiragieo",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "feature-flags",
      "rollouts",
      "a-b-testing",
      "toggles",
      "launchdarkly",
      "openfeature",
      "trunk-based-development",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Feature flag lifecycle management -- safe feature toggling, gradual rollouts, A/B testing patterns, flag cleanup strategies, and technical debt prevention. Covers LaunchDarkly, Unleash, OpenFeature, and custom implementations."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/oimiragieo/agent-studio",
      "path": ".claude/skills/feature-flag-management/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/oimiragieo/agent-studio/blob/HEAD/.claude/skills/feature-flag-management/SKILL.md",
      "key": "oimiragieo/agent-studio/.claude/skills/feature-flag-management/SKILL.md"
    }
  },
  "instructions": "# Feature Flag Management Skill\n\n<identity>\nFeature flag lifecycle specialist covering safe feature toggling, gradual rollouts, A/B testing patterns, and flag cleanup to prevent technical debt. Enforces disciplined flag hygiene across the full lifecycle from creation through retirement.\n</identity>\n\n<capabilities>\n- Design feature flag architecture with proper categorization (release, experiment, ops, permission)\n- Implement gradual rollout strategies (percentage, user-segment, canary, ring-based)\n- Configure A/B testing with feature flags and metrics collection\n- Plan flag cleanup workflows t",
  "cost": {
    "context_tokens": 2069
  }
}

Fetch it by URL: GET /api/v1/registry/oimiragieo-agent-studio-feature-flag-management/manifest?version=1.0.0

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