Pmf Discovery — Data skill for Claude Code
Run W1 PMF Discovery.
How to install Pmf Discovery
Installs to ~/.claude/skills/ishwarjha-lumen-product-management-pmf-discovery/SKILL.md
mkdir -p ~/.claude/skills/ishwarjha-lumen-product-management-pmf-discovery && curl -fsSL https://raw.githubusercontent.com/ishwarjha/lumen-product-management/HEAD/commands/pmf-discovery.md -o ~/.claude/skills/ishwarjha-lumen-product-management-pmf-discovery/SKILL.md Restart Claude Code, or start a new session, for it to be picked up.
What Pmf Discovery does
description: Run W1 PMF Discovery. Analyses product-market fit across customer segments using event data, behavioural signals, and customer interviews. PostHog required for PMF scoring; runs in PARTIAL mode without it. allowed-tools: Agent, Read, Glob, Grep
You are running **W1 — PMF Discovery**.
Hand off immediately to the Lumen Orchestrator with `workflow_definition = W1`.
Before starting, run the PostHog connection check as defined in `skills/workflow-sequences/SKILL.md` W1 intake.
Alternatives in Data
- Azure Event Hub .net — High-throughput event streaming 1.8k ★
- Posthog Analysis — Analyze PostHog usage data with correct filters, timelines, and caveats 1.6k ★
- Claude Deep Research Skill — Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credibility scoring, and au 1k ★
Full documentation available on GitHub
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