Remove reweight from the inventory and fix skill examples

dashboard/src/data/manifest.json

@@ -15579,12 +15579,6 @@
       "kind_label": "Internal & process",
       "tooling_relevant": false
     },
-    {
-      "name": "reweight",
-      "kind": "library",
-      "kind_label": "Libraries",
-      "tooling_relevant": true
-    },
     {
       "name": "pritzker",
       "kind": "grant-proposal",
@@ -18453,19 +18447,6 @@
       ],
       "total": 2
     },
-    {
-      "name": "reweight",
-      "kind": "library",
-      "kind_label": "Libraries",
-      "tooling_relevant": true,
-      "description": "",
-      "visibility": "PUBLIC",
-      "pushed_at": "2026-04-28T00:37:00Z",
-      "skills": [],
-      "agents": [],
-      "commands": [],
-      "total": 0
-    },
     {
       "name": "pritzker",
       "kind": "grant-proposal",

scripts/build_manifest.py

@@ -217,7 +217,6 @@ class Artifact:
     "microunit": "library",
     "mortality": "library",
     "rdbl": "library",
-    "reweight": "library",
     "l0": "library",
     "L0": "library",
     "linecheck": "library",

scripts/policyengine_repos.json

@@ -1037,12 +1037,6 @@
     "visibility": "PUBLIC",
     "pushed_at": "2026-04-28T00:37:09Z"
   },
-  {
-    "name": "reweight",
-    "description": "",
-    "visibility": "PUBLIC",
-    "pushed_at": "2026-04-28T00:37:00Z"
-  },
   {
     "name": "rdbl",
     "description": "A Python package to format numbers for readability",

skills/policyengine-healthcare/SKILL.md

@@ -58,11 +58,11 @@ import policyengine as pe
 r = pe.us.calculate_household(
     people=[{"age": 45, "employment_income": 35_000}],
     tax_unit={"filing_status": "SINGLE"},
-    household={"state_code": "TX"},
+    household={"state_code": "TX", "county_fips": "48201"},
     year=2026,
     extra_variables=["aca_ptc", "household_net_income_including_health_benefits"],
 )
-assert round(r.tax_unit.aca_ptc, 2) == 6_250.38          # a real PTC...
+assert round(r.tax_unit.aca_ptc, 2) == 6_635.45          # a real PTC...
 # ...but it is NOT in default net income; the gap is exactly the PTC:
 gap = (r.household.household_net_income_including_health_benefits
        - r.household.household_net_income)

skills/policyengine-us/SKILL.md

@@ -95,7 +95,7 @@ def odc(dependent):
     return pe.us.calculate_household(
         people=[{"age": 45, "employment_income": 40_000}, kid],
         tax_unit={"filing_status": "HEAD_OF_HOUSEHOLD"},
-        household={"state_code": "CA"},
+        household={"state_code": "CA", "county_fips": "06037"},
         year=2026,
     ).tax_unit.ctc
 
@@ -120,13 +120,13 @@ r = pe.us.calculate_household(
         {"age": 5},
     ],
     tax_unit={"filing_status": "JOINT"},
-    household={"state_code": "NY"},
+    household={"state_code": "NY", "county_fips": "36061"},
     year=2026,
 )
 assert round(r.tax_unit.ctc) == 4_400          # 2 children x $2,200 (OBBBA, 2026)
 assert round(r.tax_unit.eitc) == 7_316         # federal EITC (tax_unit)
-assert round(r.spm_unit.snap) == 7_364         # annual = sum of 12 monthly allotments
-assert round(r.household.household_net_income) == 62_681
+assert round(r.spm_unit.snap) == 8_061         # annual = sum of 12 monthly allotments
+assert round(r.household.household_net_income) == 47_929
 ```
 
 Here `income_tax` is about −$10,691 (refundable EITC + CTC exceed liability), so
@@ -144,7 +144,7 @@ import policyengine as pe
 r = pe.us.calculate_household(
     people=[{"age": 35, "employment_income": 25_000}, {"age": 8}],
     tax_unit={"filing_status": "HEAD_OF_HOUSEHOLD"},
-    household={"state_code": "NY"},
+    household={"state_code": "NY", "county_fips": "36061"},
     year=2026,
     extra_variables=["in_poverty", "person_in_poverty", "is_child"],
 )
@@ -218,12 +218,12 @@ import policyengine as pe
 r = pe.us.calculate_household(
     people=[{"age": 30, "employment_income": 20_000}, {"age": 4}],
     tax_unit={"filing_status": "HEAD_OF_HOUSEHOLD"},
-    household={"state_code": "CA"},
+    household={"state_code": "CA", "county_fips": "06037"},
     year=2026,
     extra_variables=["ca_eitc"],
 )
 assert round(r.tax_unit.eitc) == 4_427          # federal EITC
-assert round(r.tax_unit.ca_eitc, 2) == 410.16   # CalEITC (state)
+assert round(r.tax_unit.ca_eitc, 2) == 401.89   # CalEITC (state)
 assert r.tax_unit.state_income_tax < 0          # refundable CA credits exceed liability
 ```
 
@@ -236,7 +236,7 @@ SNAP is the US benefit whose timing most often surprises analysts. Everything be
 against the model source.
 
 **SNAP is monthly.** `snap` and its inputs have `definition_period = MONTH`. When
-`calculate_household` reports an annual figure (like the $7,364 above), it is the **sum of twelve
+`calculate_household` reports an annual figure (like the $8,061 above), it is the **sum of twelve
 monthly allotments** — not one annual calculation. That is why SNAP produces partial-year cliffs
 that annual-only reasoning misses.
 

skills/policyengine/SKILL.md

@@ -53,12 +53,12 @@ import policyengine as pe
 result = pe.us.calculate_household(
     people=[{"age": 40, "employment_income": 50_000}, {"age": 8}],
     tax_unit={"filing_status": "HEAD_OF_HOUSEHOLD"},
-    household={"state_code": "CA"},
+    household={"state_code": "CA", "county_fips": "06037"},
     year=2026,
     extra_variables=["income_tax"],
 )
 assert result.tax_unit.ctc == 2_200          # OBBBA CTC, 2026
-assert round(result.household.household_net_income) == 46_358
+assert round(result.household.household_net_income) == 46_369
 print(result.spm_unit.snap, result.tax_unit.eitc, result.tax_unit.income_tax)
 ```
 
@@ -81,13 +81,13 @@ import policyengine as pe
 baseline = pe.us.calculate_household(
     people=[{"age": 40, "employment_income": 50_000}, {"age": 8}],
     tax_unit={"filing_status": "HEAD_OF_HOUSEHOLD"},
-    household={"state_code": "CA"},
+    household={"state_code": "CA", "county_fips": "06037"},
     year=2026,
 )
 reformed = pe.us.calculate_household(
     people=[{"age": 40, "employment_income": 50_000}, {"age": 8}],
     tax_unit={"filing_status": "HEAD_OF_HOUSEHOLD"},
-    household={"state_code": "CA"},
+    household={"state_code": "CA", "county_fips": "06037"},
     year=2026,
     reform={"gov.irs.credits.ctc.amount.base[0].amount": 3_000},
 )
@@ -116,7 +116,7 @@ import policyengine as pe
 result = pe.us.calculate_household(
     people=[{"age": 40}],
     tax_unit={"filing_status": "SINGLE"},
-    household={"state_code": "TX"},
+    household={"state_code": "TX", "county_fips": "48201"},
     year=2026,
     axes=[[{"name": "employment_income", "min": 0, "max": 200_000, "count": 401}]],
 )