Diagnoses bias, anomalies, and strange-looking results on a specific PostHog experiment. Covers empty / 0-exposure experiments, sample ratio mismatch, identity fragmentation, multi-variant exposure, uneven-split exclusion bias, significance traps (peeking, A/A, Bayesian vs Frequentist), PostHog-vs-SQL discrepancies, and surprises after mid-run edits. Symptom-driven dispatch to the right diagnostic.\nTRIGGER when: user asks 'is my experiment biased?' or 'why 0 exposures?
Add this skill
npx mdskills install PostHog/diagnosing-experiment-results@PostHog? Sign in with GitHub to claim this listing.Comprehensive diagnostic framework with symptom-driven routing and evidence-based reasoning
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/diagnosing-experiment-resultsThen /plugin menu → select skill → restart. Use /skill-name:init for first-time setup.
Other platforms
Install via CLI
npx mdskills install PostHog/diagnosing-experiment-resultsDiagnosing Experiment Results is a free, open-source AI agent skill. Diagnoses bias, anomalies, and strange-looking results on a specific PostHog experiment. Covers empty / 0-exposure experiments, sample ratio mismatch, identity fragmentation, multi-variant exposure, uneven-split exclusion bias, significance traps (peeking, A/A, Bayesian vs Frequentist), PostHog-vs-SQL discrepancies, and surprises after mid-run edits. Symptom-driven dispatch to the right diagnostic.\nTRIGGER when: user asks 'is my experiment biased?' or 'why 0 exposures?
Install Diagnosing Experiment Results with a single command:
npx mdskills install PostHog/diagnosing-experiment-resultsThis downloads the skill files into your project and your AI agent picks them up automatically.
Diagnosing Experiment Results 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.