instrument-logs — Claude Code skill: what it does, how to install
Configures structured application log capture and OTLP export to PostHog across mobile, web, and backend stacks.
npx skills add PostHog/skills --skill instrument-logs -a claude-codeWhat instrument-logs does
This skill inspects project files, detects the package manager, and identifies existing log libraries like Winston, Pino, or Python logging. If PostHog export is missing, it installs the necessary OpenTelemetry SDK packages and sets up an OTLP exporter pointing to PostHog ingest endpoints. For Android, iOS, and React Native, it relies on native SDK capture rather than a standalone OTLP exporter.
The skill keeps existing log handlers intact and avoids restructuring files. New logs receive structured key-value attributes for PostHog search. If PostHog MCP is connected, it fetches the project token via projects-get; otherwise, it prompts you for the token and cloud region (US or EU) before writing endpoints to your environment files.
What it helps with
- configure PostHog OTLP log export for new features
- attach structured key-value properties to application logs
- integrate OpenTelemetry SDK without altering current loggers
- set up PostHog US or EU cloud environment variables
Example prompts for the agent
- Set up PostHog log capture for the newly created billing service
- Review this PR and add structured logs to all modified endpoints
- Configure an OTLP exporter to send our Winston logs to PostHog
How to install instrument-logs
1Skills CLI (Vercel)
npx skills add PostHog/skills --skill instrument-logs -a claude-code2Manually: put the files in place
~/.claude/skills/instrument-logs/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/instrument-logs/
1Skills CLI (Vercel)
npx skills add PostHog/skills --skill instrument-logs -a codex2Manually: put the files in place
.agents/skills/instrument-logs/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add PostHog/skills --skill instrument-logs -a cursor2Manually: put the files in place
.cursor/skills/instrument-logs/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install PostHog/skills instrument-logs2Manually: put the files in place
.github/skills/instrument-logs/SKILL.md1Skills CLI (Vercel)
npx skills add PostHog/skills --skill instrument-logs -a gemini-cli2Platform CLI
gemini skills install https://github.com/PostHog/skills --path skills/omnibus/instrument-logsManually: put the files in place
.devin/skills/instrument-logs/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add PostHog/skills --skill instrument-logs -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about instrument-logs
How to install instrument-logs in Claude Code?
Run npx skills add PostHog/skills --skill instrument-logs -a claude-code in your terminal.
What does instrument-logs do?
It detects your project logging setup, installs OpenTelemetry dependencies, and routes structured logs to PostHog ingest endpoints.
Does it overwrite existing logging setups?
No, it connects PostHog exporters alongside existing handlers like Pino or Log4j without modifying the underlying architecture.
Source text
SKILL.md · MIT
--- name: instrument-logs description: >- Add PostHog log capture to track application logs. Use after implementing features or reviewing PRs to ensure meaningful log events are captured with structured properties. Also handles initial OTLP exporter setup if not yet configured. metadata: author: PostHog --- # Add PostHog log capture Use this skill to add PostHog log capture for new or changed code. Use it after implementing features or reviewing PRs to ensure meaningful log events are captured with structured properties. If PostHog log export is not yet configured, this skill also covers initial OTLP exporter setup. Supports any platform or language. Supported platforms: Next.js, Node.js, Python, Go, Java, Datadog, Android, React Native, iOS, and any language via OpenTelemetry. ## Instructions Follow these steps IN ORDER: STEP 1: Analyze the codebase and detect the platform. - Detect the language, framework, and existing logging setup. - Look for dependency files and project files (package.json, Podfile, Package.swift, requirements.txt, go.mod, pom.xml, etc.). - Look for log libraries (winston, pino, logging module, logrus, log4j, serilog, os_log, Logger, etc.). - Look for lockfiles (pnpm-lock.yaml, package-lock.json, yarn.lock, bun.lockb, go.sum, Podfile.lock, Package.resolved, etc.) to determine the package manager. - Check for existing PostHog log export setup. If the OTLP exporter is already configured, skip to STEP 5 to add log capture for new code. STEP 2: Research log capture. (Skip if PostHog log export is already configured.) 2.1. Find the reference file below that matches the detected platform — it is the source of truth for OTLP exporter configuration and integration with existing logging. Read it now. 2.2. If no reference matches, use the "Other Languages" reference as a fallback — it covers the generic OpenTelemetry approach. STEP 3: Install dependencies. (Skip if PostHog log export is already configured.) - Install the OpenTelemetry SDK and OTLP exporter packages for the detected platform. - Do not manually edit dependency files — use the package manager's install command. STEP 4: Configure the OTLP exporter. (Skip if PostHog log export is already configured.) - PostHog logs use the OpenTelemetry protocol. Set up an OTLP exporter pointed at PostHog's ingest endpoint. - For SDK-native log support such as Android, React Native, and iOS, follow the platform reference instead of adding a separate OTLP exporter. - Follow the platform-specific reference for the exact configuration. STEP 5: Integrate with existing logging. - Add the PostHog log exporter alongside existing logging. Don't replace existing log handlers or outputs. - 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: Add structured properties. - Ensure logs include structured key-value properties for filtering and search in PostHog. - Prefer structured log formats with key-value properties over plain text messages. STEP 7: 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. - For the OpenTelemetry endpoint, use `https://us.i.posthog.com/v1` (US) or `https://eu.i.posthog.com/v1` (EU), matching the region determined above. - 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/nextjs.md` - Next.js logs installation - `references/nodejs.md` - Node.js logs installation - `references/python.md` - Python logs installation - `references/go.md` - Go logs installation - `references/java.md` - Java logs installation - `references/datadog.md` - Datadog logs installation - `references/android.md` - Android logs installation - `references/react-native.md` - React native logs installation - `references/ios.md` - Ios logs installation - `references/flutter.md` - Flutter logs installation - `references/other.md` - Other languages logs installation - `references/start-here.md` - Getting started with logs - `references/search.md` - Search logs - `references/best-practices.md` - Logging best practices - `references/troubleshooting.md` - Logs troubleshooting - `references/link-session-replay.md` - Link session replay - `references/mcp.md` - Use logs over PostHog mcp - `references/COMMANDMENTS.md` - Framework-specific rules the integration must follow Each platform reference contains specific OTLP configuration, SDK setup, and integration patterns. Find the one matching the user's stack. ## Key principles - **Environment variables**: Always use environment variables for PostHog keys and OpenTelemetry endpoints. Never hardcode them. - **Minimal changes**: Add log export alongside existing logging. Don't replace or restructure existing logging code. - **OpenTelemetry**: PostHog logs use the OpenTelemetry protocol. Configure an OTLP exporter pointed at PostHog's ingest endpoint unless the platform SDK provides native log capture. - **SDK-native logs**: For Android, React Native, and iOS, use the SDK logger/capture APIs from the platform reference instead of adding a separate OTLP exporter. - **Structured logging**: Prefer structured log formats with key-value properties over plain text messages.
© PostHog · MIT · PostHog/skills