MLP Planning Skill
Communication: User's language. Docs: English.
What is MLP?
Most Lovable Product — version users LOVE, not just tolerate.
| MVP | MLP |
|---|---|
| "It works" | "This is amazing!" |
| Validate idea | Build emotional connection |
Agents
| Agent | Purpose |
|---|---|
| faion-mvp-scope-analyzer-agent | MVP scope via competitor analysis |
| faion-mlp-spec-analyzer-agent | Extract current MVP state from specs |
| faion-mlp-gap-finder-agent | Compare MVP vs MLP, find gaps |
| faion-mlp-spec-updater-agent | Add MLP requirements to specs |
| faion-mlp-feature-proposer-agent | Propose WOW features (web research) |
| faion-mlp-impl-planner-agent | Create phased implementation plan |
Workflow
1. Analyze MVP scope (competitors)
2. Extract current state from specs
3. Find MLP gaps
4. Propose WOW features
5. Update specs with MLP reqs
6. Create implementation order
Execution
# Sequential agent execution
Task(subagent_type="faion-mvp-scope-analyzer-agent",
prompt=f"Analyze {product_type} competitors for MVP scope")
Task(subagent_type="faion-mlp-spec-analyzer-agent",
prompt=f"Read specs in {features_path}")
Task(subagent_type="faion-mlp-gap-finder-agent",
prompt=f"Compare MVP vs MLP requirements")
Task(subagent_type="faion-mlp-feature-proposer-agent",
prompt=f"Propose WOW features for {product}")
Task(subagent_type="faion-mlp-spec-updater-agent",
prompt=f"Update specs with MLP requirements")
Task(subagent_type="faion-mlp-impl-planner-agent",
prompt=f"Create MLP implementation phases")
Output
product_docs/
├── mvp-scope-analysis.md
├── mlp-analysis-report.md
└── mlp-implementation-order.md
MLP Dimensions
- Delight: Micro-interactions, animations, polish
- Ease: Intuitive UX, zero friction
- Speed: Instant feedback, fast performance
- Trust: Security signals, reliability
- Personality: Brand voice, memorable moments