Ultimate Product Discovery Skill
Description
Ultimate Claude Skill for Product Discovery. 18 tasks across 6 blocks: Market Analysis, Customers (JTBD/CJM), Strategy (Lean Canvas/OST/SWOT), Validation (rapid testing/PMF), Main Scenario, Artifacts (one-pager, financial plan, pitch deck, interview guide). 3 modes: Light / Full / Geographic Expansion. Run on latest Claude Opus.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Ultimate Product Discovery Skill
[](CHANGELOG.md) [](LICENSE) [](https://docs.claude.com/en/docs/agents-and-tools/agent-skills) [](https://www.anthropic.com/claude) [](#methodology-foundation)
A Claude Skill for running structured Product Discovery through a methodology of **18 tasks across 6 blocks**. It combines Jobs-to-be-Done (Ulwick/Christensen), Opportunity Solution Tree (Teresa Torres), Customer Development (Steve Blank), The Mom Test (Rob Fitzpatrick), Lean Canvas (Ash Maurya), PESTEL, SWOT and the Business Model Canvas.
Version: **4.0** · see [CHANGELOG.md](CHANGELOG.md)
⚡ **Recommended model: the latest Claude Opus.** The skill relies on a long context (1500+ lines of methodology across `references/`), parallel tool calls (web_search + bash + Python), structured planning and numeric-threshold judgement. Sonnet and Haiku handle individual tasks, but artifact quality drops noticeably on the harder blocks (III — Strategy, IV — Validation, VI — Artifacts).
Modes
| Mode | When to use it | Time |
|---|---|---|
| Light | Idea stage, no customers yet | ~45 min |
| Full | MVP and customers exist | ~2–3 h |
| Geographic Expansion | Product entering a new geography | ~2 h |
Output artifacts
Everything is written to `/mnt/user-data/outputs/`:
one-pager-[slug].pptx— one-slide summary for a CEO or investorfinancial-plan-[slug].xlsx— financial modelpresentation-[slug].pptx— Verification-stage deckinterview-guide-[slug].docx— guide for live interviews (Full mode, task 9)
Methodology: 18 tasks across 6 bl
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