financial-forecastlisted
Install: claude install-skill KameronKales/planfi-skills
# Financial Forecast
A thin orchestration layer over the **planfi MCP** (https://ai.planfi.app/mcp, public, no auth).
All math + the 150-year Shiller market dataset live server-side. This skill only gathers inputs
and calls the tools — it does **not** compute anything locally. Read-only; it never changes the
user's data.
## Step 0 — Make sure the planfi tools are connected
This skill uses these tools (may be namespaced, e.g. `mcp__planfi__generate_financial_plan`):
`generate_financial_plan`, `start_plan_intake`, `get_completed_plan`, `wait_for_completion`,
`generate_financial_insights`, `generate_action_plan`, `generate_financial_commentary`,
`run_backtesting`, `get_asset_allocation`, `get_savings_variations`, `solve_goal`, `compare_plans`,
`check_model_completeness`, `explain_plan_state`, plus optional `analyze_*` deep-dives. Use whichever
name your environment exposes (bare or `mcp__planfi__`-prefixed); below they are written bare.
If they're NOT available, tell the user to connect the MCP, then continue:
```
claude mcp add --transport http planfi https://ai.planfi.app/mcp
```
(On claude.ai: add a custom connector pointing at https://ai.planfi.app/mcp — no auth.)
## Step 1 — Gather inputs (only two areas are strictly required)
**REQUIRED — ask if not volunteered:**
1. **Each earner's age + annual salary** (household, 1–4 earners).
2. **Stock / investment portfolio**: `current_value` + `monthly_contribution`.
**Forecast-driving inputs you may not have (retirement ag