LLM Analytics Apps — Data skill for Claude Code

LLM Analytics Apps

Internal tooling for the PostHog LLM Analytics team. Contains demo data generators, trace generators, test scripts, and a runner for the SDK examples that live in [posthog-python](https://github.com/PostHog/posthog-python) and [posthog-js](https://github.com/PostHog/posthog-js).

For copy-paste-able provider integration examples, see the `examples/example-ai-*` directories in each SDK repo.

Setup

Requires:

• uv
• pnpm
• phrocs

cp .env.example .env
# Fill in your API keys in .env
make setup

Tools

SDK Example Runner

Discovers and runs all `example-ai-*` examples from sibling `posthog-python` and `posthog-js` repos.

# List all available examples (with cache status)
./run-examples.sh --list

# Run a specific example or group by name
./run-examples.sh anthropic        # all anthropic examples
./run-examples.sh python/openai    # python openai examples only

# Run all examples in parallel via phrocs
./run-examples.sh --parallel

# Run all sequentially
./run-examples.sh --all

# Force re-run (ignore cache)
./run-examples.sh --rerun --all

# Install dependencies for all examples
./run-examples.sh --install

Demo Data Generator

Generates realistic multi-turn conversations across all supported providers using the PostHog AI SDKs directly. Useful for populating a PostHog instance with representative LLM analytics data.

make demo-data                # 5 conversations, random providers
make demo-data-quick          # 3 short conversations, single provider
make demo-data-tools          # tool-heavy conversations
make demo-data-negative       # negative sentiment for testing

Trace Generator

Creates complex nested LLM trace data (traces, spans, generations) without making real LLM calls. Useful for testing PostHog's trace visualization.

make run-trace-generator

Test Sc