Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.
Add this skill
npx mdskills install PostHog/exploring-llm-clusters@PostHog? Sign in with GitHub to claim this listing.Comprehensive guide for investigating LLM clusters with clear workflows, SQL examples, and UI integration
A collection of PostHog skills for enhancing AI-assisted workflows.
Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills:
/plugin marketplace add PostHog/skills
Then install individual plugins:
/plugin install posthog-integration@posthog-skills
/plugin install posthog-feature-flags@posthog-skills
/plugin install posthog-all@posthog-skills
Or browse available plugins:
/plugin search posthog
Copy any skill directory to .claude/skills/ in your project:
cp -r skills/team/customer-success/posthog-debugger .claude/skills/posthog-debugger
Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the marketplace catalog. To make your skill installable:
skills/.claude-plugin/plugin.json:{
"name": "your-skill-name",
"description": "What your skill does",
"version": "1.0.0",
"author": { "name": "Your Name" },
"keywords": ["posthog", "your-topic"]
}
skills/your-skill/SKILL.md)Official skills for using the PostHog platform — analytics integration, feature flags, error tracking, LLM analytics, and more. These are generated by context-mill and updated automatically on each release.
Skills for small teams at PostHog.
Skills made by users.
Skills for creating and managing skills.
MIT License — see LICENSE for details.
Best experience: Claude Code
/plugin marketplace add PostHog/exploring-llm-clustersThen /plugin menu → select skill → restart. Use /skill-name:init for first-time setup.
Other platforms
Install via CLI
npx mdskills install PostHog/exploring-llm-clustersExploring LLM Clusters is a free, open-source AI agent skill. Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.
Install Exploring LLM Clusters with a single command:
npx mdskills install PostHog/exploring-llm-clustersThis downloads the skill files into your project and your AI agent picks them up automatically.
Exploring LLM Clusters works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Codex, Gemini Cli, Amp, Roo Code, Goose, Opencode, Trae, Qodo, Command Code. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.