posthog/ai-plugin

instrument-feature-flags

- Add PostHog feature flags to gate new functionality.

Vedi sorgente
Documento Skill originale

Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.

Add PostHog feature flags

Use this skill to add PostHog feature flags that gate new or changed functionality. Use it after implementing features or reviewing PRs to ensure safe rollouts with feature flag controls. If PostHog is not yet installed, this skill also covers initial SDK setup. Supports any platform or language.

Supported platforms: React, Next.js, React Native, Web (JavaScript), Node.js, Python, PHP, Ruby, Go, Java, Rust, .NET, Elixir, Android, iOS, Flutter, and the REST API.

Instructions

Follow these steps IN ORDER:

STEP 1: Analyze the codebase and detect the platform. - Look for dependency files (package.json, pubspec.yaml, Podfile, Package.swift, requirements.txt, go.mod, Gemfile, composer.json, mix.exs, etc.) to determine the language and framework. - Look for lockfiles (pnpm-lock.yaml, package-lock.json, yarn.lock, bun.lockb, go.sum, pubspec.lock, Podfile.lock, Package.resolved, mix.lock) to determine the package manager.

  • Check for existing PostHog setup (SDK initialization, env vars, etc.). If PostHog is already installed and initialized, skip to STEP 3.

STEP 2: Research instrumentation. (Skip if PostHog is already set up.) 2.1. Find the reference file below that matches the detected platform — it is the source of truth for SDK initialization, flag evaluation methods, and framework-specific patterns. Read it now. 2.2. If no reference matches, fall back to your general knowledge and web search. Use posthog.com/docs as the primary search source.

STEP 3: Create or find the feature flag.

  • Check if a PostHog MCP server is connected. If available, use its tools to search for an existing feature flag the user wants to instrument, or create a new one.
  • If no MCP server is available, instruct the user to create the flag in the PostHog dashboard.

STEP 4: Plan release conditions.

  • Determine the rollout strategy (percentage rollout, user targeting, group targeting, etc.).
  • Plan how the feature flag will gate the new functionality in code.

STEP 5: Instrument the feature.

  • Add the feature flag code following the platform-specific reference patterns.
  • Use server-side evaluation when possible to avoid UI flicker.
  • Do not alter the fundamental architecture of existing files. Make additions minimal and targeted.
  • You must read a file immediately before attempting to write it.

STEP 6: Set up environment variables.

  • Check if the project already has PostHog environment variables configured (e.g. in .env, .env.local, or framework-specific env files). If valid values already exist, skip this step.
  • If the PostHog project token is missing, use the PostHog MCP server's projects-get tool to retrieve the project's api_token. If multiple projects are returned, ask the user which project to use. If the MCP server is not connected or not authenticated, ask the user for their PostHog project token instead.
  • For the PostHog host URL: check the projects-get MCP response for a region field — US maps to https://us.i.posthog.com, EU maps to https://eu.i.posthog.com. If the region is not available from the MCP response or from existing project configuration, ask the user: "Are you on PostHog US Cloud or EU Cloud?" Do not assume US Cloud.
  • Write these values to the appropriate env file using the framework's naming convention.
  • Reference these environment variables in code instead of hardcoding them.

Reference files

  • references/react.md - React feature flags installation - docs
  • references/react-native.md - React native feature flags installation - docs
  • references/web.md - Web feature flags installation - docs
  • references/nodejs.md - Node.js feature flags installation - docs
  • references/python.md - Python feature flags installation - docs
  • references/django.md - Django - docs
  • references/flask.md - Flask - docs
  • references/php.md - Php feature flags installation - docs
  • references/laravel.md - Laravel - docs
  • references/ruby.md - Ruby feature flags installation - docs
  • references/ruby-on-rails.md - Ruby on rails - docs
  • references/go.md - Go feature flags installation - docs
  • references/java.md - Java feature flags installation - docs
  • references/rust.md - Rust feature flags installation - docs
  • references/dotnet.md - .net feature flags installation - docs
  • references/dotnet.md - .net - docs
  • references/elixir.md - Elixir feature flags installation - docs
  • references/android.md - Android feature flags installation - docs
  • references/ios.md - Ios feature flags installation - docs
  • references/usage.md - Ios SDK usage - docs
  • references/flutter.md - Flutter feature flags installation - docs
  • references/api.md - API feature flags installation - docs
  • references/next-js.md - Next.js - docs
  • references/adding-feature-flag-code.md - Adding feature flag code - docs
  • references/best-practices.md - Best practices for production-ready flags - docs
  • references/COMMANDMENTS.md - Framework-specific rules the integration must follow

Each platform reference contains SDK-specific installation, flag evaluation, and code examples. Find the one matching the user's stack. If unlisted, use the API reference as a fallback.

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.
dallo stesso repository

Altri Skills

Tutti gli Skills
posthog
Ufficiale

assessing-heatmaps

Assesses what a page's heatmap is telling you and recommends concrete changes. Pulls click / rageclick / scroll-depth data for a URL, names the hot elements by cross-referencing autocapture events on the same page, and can create a saved heatmap the user opens in PostHog, then summarizes the behavior and proposes improvements.\nTRIGGER when: user asks what a heatmap shows, why people aren't clicking something, where users rage-click, how far they scroll, what to change on a page based on heatmap/click data, or to 'analyze/assess/review the heatmap' for a URL.\nDO NOT TRIGGER when: the user only wants to create a saved heatmap screenshot with no analysis (use heatmaps-saved-create directly), or is asking about session replay in general (use investigating-replay).

installazioni
1
GitHub Stars
80
Aggiornato
4 set
posthog
Ufficiale

auditing-endpoints

Audit every endpoint in a PostHog project for staleness, failed materialisations, and unused materialised versions. Use when the user asks "what endpoints can I clean up?", "are any of my endpoints broken?", "which materialised versions are still being called?", or wants a one-shot cleanup pass over the Endpoints product. Produces a prioritised report grouped by issue type, with recommended actions but does not modify anything without explicit confirmation.

installazioni
1
GitHub Stars
80
Aggiornato
4 set
posthog
Ufficiale

auditing-experiments-flags

Audit PostHog experiments and feature flags for configuration issues, staleness, and best-practice violations. Read when the user asks to audit, health-check, or review experiments or feature flags, check flag hygiene, or verify experiment setup.

installazioni
1
GitHub Stars
80
Aggiornato
4 set
posthog
Ufficiale

authoring-data-quality-checks

Adds and runs data quality checks (dbt-test style assertions) on a project's warehouse tables and saved-query views: not-null, uniqueness, accepted values, referential integrity, row-count bounds, freshness, and custom HogQL. Use when asked to test a model, validate a view, check for nulls or duplicates, add data quality checks, find out why a number looks wrong, or judge whether a warehouse table is trustworthy before using it in an analysis. To describe what data means (metrics, certifications, joins), see setting-up-data-catalog instead. Trigger terms: data quality, data test, dbt test, not null check, uniqueness check, freshness check, referential integrity, row count check, validate model, is this table trustworthy.

installazioni
1
GitHub Stars
80
Aggiornato
4 set