Guides product-market fit (PMF) validation and measurement. PMF occurs when a product precisely meets market needs, creating widespread demand. ~99% of startups fail primarily due to PMF issues (vitamin problems, premature scaling). Use this skill when validating before scaling, measuring PMF, or diagnosing traction problems.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpmf-strategyExecute the skills CLI command in your project's root directory to begin installation:
Fetches pmf-strategy from kostja94/marketing-skills and configures it for Cursor.
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Confirm successful installation by checking the skill directory location:
Restart Cursor to activate pmf-strategy. Access via /pmf-strategy in your agent's command palette.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Guides product-market fit (PMF) validation and measurement. PMF occurs when a product precisely meets market needs, creating widespread demand. ~99% of startups fail primarily due to PMF issues (vitamin problems, premature scaling). Use this skill when validating before scaling, measuring PMF, or diagnosing traction problems.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Product-market fit (Marc Andreessen): "Being in a good market with a product that can satisfy that market."
Signals: Customers buying rapidly; usage growing; word-of-mouth spreading organically; high retention, low churn.
Question: "How would you feel if you could no longer use [product]?"
| Response | Meaning |
|---|---|
| Very disappointed | Strong PMF signal |
| Somewhat disappointed | — |
| Not disappointed | — |
| N/A – I no longer use | — |
Threshold: 40%+ answering "very disappointed" = PMF achieved. Below 40% = iterate.
| Score | Action |
|---|---|
| Below 25% | Significant changes needed |
| 25–39% | Close to PMF; iterate and improve |
| 40%+ | PMF achieved |
Best practice: Survey 40–50 active users (used product 2+ times in last 14 days). Segment by user type—some segments may have PMF while others don't.
Limitation: Combine with retention curves, engagement, organic growth; avoid false positives in early stages.
| Type | Definition | Adoption |
|---|---|---|
| Painkiller | Solves urgent, acute problems; users actively seek solutions | Fast adoption; high retention; willing to pay |
| Vitamin | Nice-to-have; incremental benefit; users can live without | Slow adoption; expensive marketing to succeed |
~99% of failures: Solving vitamin problems instead of real pain. Validate: Would users be genuinely inconvenienced if your product vanished?
Validation: Talk to users; listen for frustration; run pre-sells; check frequency and time-sensitivity of the problem.
| Indicator | Strong PMF |
|---|---|
| Retention | High; low churn |
| CAC vs CLTV | CAC decreasing relative to CLTV |
| Activation | Strong conversion to paying customers |
| Growth | Organic; word-of-mouth |
| NPS | High; enthusiastic advocacy |
| Failure | Avoid |
|---|---|
| Vitamin problems | Solve urgent pain, not nice-to-have |
| Vanity feedback | Use retention data, not polite opinions |
| Premature scaling | Validate PMF before scaling acquisition |
| Misalignment | Customer-problem fit before product-build |
| Area | Notes |
|---|---|
| Product positioning | Target audience; core value; competitive differentiation |
| Market research | Competitor analysis; surveys; interviews to validate assumptions |
| SaaS form | Cloud delivery; subscription; ease of use; dependency on industry standardization |
| Enterprise / ACV | Customization; data security/private deployment; procurement cycles; buy vs SaaS trade-offs |
Use: When discussing PMF for SaaS or enterprise—factor in product research rigor and ACV-specific challenges. See gtm-strategy for enterprise GTM.
PMF is increasingly a continuous validation—markets evolve; re-measure as you expand. Target "PMF for a niche" first (40%+ in one segment) before broadening.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
kostja94/marketing-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
We added pmf-strategy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
pmf-strategy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added pmf-strategy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: pmf-strategy is focused, and the summary matches what you get after install.
pmf-strategy has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in pmf-strategy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: pmf-strategy is the kind of skill you can hand to a new teammate without a long onboarding doc.
pmf-strategy has been reliable in day-to-day use. Documentation quality is above average for community skills.
pmf-strategy reduced setup friction for our internal harness; good balance of opinion and flexibility.
pmf-strategy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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