feature-flags-react

PostHog feature flags for React applications

posthog/skills96 installsMITSynced Aug 25

Works with

Claude CodeCursorCodex CLIGitHub CopilotGemini CLI
---
name: feature-flags-react
description: PostHog feature flags for React applications
license: MIT
---

# PostHog feature flags for React

This skill helps you add PostHog feature flags to React applications.

## Reference files

- `references/react.md` - React feature flags installation - docs
- `references/adding-feature-flag-code.md` - Adding feature flag code - docs
- `references/best-practices.md` - Feature flag best practices - docs

Consult the documentation for API details and framework-specific patterns.

## Key principles

- **Environment variables**: Always use environment variables for PostHog keys. Never hardcode them.
- **Minimal changes**: Add feature flag code alongside existing logic. Don't replace or restructure existing code.
- **Boolean flags first**: Default to boolean flag checks unless the user specifically asks for multivariate flags.
- **Server-side when possible**: Prefer server-side flag evaluation to avoid UI flicker.

## PostHog MCP tools

Check if a PostHog MCP server is connected. If available, look for tools related to feature flag management (creating, listing, updating, deleting flags). Use these tools to manage flags directly in PostHog rather than requiring the user to do it manually in the dashboard.

## Framework guidelines

- For feature flags, use useFeatureFlagEnabled() or useFeatureFlagPayload() hooks - they handle loading states and external sync automatically
- Add analytics capture in event handlers where user actions occur, NOT in useEffect reacting to state changes
- Do NOT use useEffect for data transformation - calculate derived values during render instead
- Do NOT use useEffect to respond to user events - put that logic in the event handler itself
- Do NOT use useEffect to chain state updates - calculate all related updates together in the event handler
- Do NOT use useEffect to notify parent components - call the parent callback alongside setState in the event handler
- To reset component state when a prop changes, pass the prop as the component's key instead of using useEffect
- useEffect is ONLY for synchronizing with external systems (non-React widgets, browser APIs, network subscriptions)

More Deployment & CI/CD skills

azure-enterprise-infra-planner

microsoft/azure-skills

Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment', 'Azure Backup for VM workloads'. PREFER azure-prepare FOR app-centric workflows.

387.5k

azure-kubernetes-app-deploy

microsoft/azure-skills

Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on AKS. DO NOT USE FOR: creating or provisioning an AKS cluster (use azure-kubernetes), assessing migration to AKS Automatic (use azure-kubernetes-automatic-readiness), or deploying to non-AKS targets like Web Apps, Container Apps, or Functions.

380.4k

finetuning

microsoft/azure-skills

Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).

323.2k

← All Deployment & CI/CD skills

Check your AI visibility

One URL in, a 0–100 score and the exact fixes out.

RUN THE CHECK

Browse all the tools

15 tools across six categories
13 of them never send your data anywhere

Free · No signup · No trial clock

SEE THE DIRECTORY