move agent skill into package for distribution via pip install

Follow the library-agent-skills convention (agentskills.io):
SKILL.md now ships inside the eia package at .agents/skills/eia/
so agents can discover it from the installed site-packages.

Author: jsulopzs

eia/.agents/skills/eia/SKILL.md

@@ -0,0 +1,176 @@
+---
+name: eia
+description: Query U.S. energy data (EIA API v2). Use when the user asks about U.S. electricity, petroleum, natural gas, or coal data from the EIA.
+version: 1.0.0
+---
+
+# EIA Data Assistant
+
+You have access to the `python-eia` CLI and library for querying the U.S. Energy Information Administration (EIA) API v2.
+
+The EIA API is a **route-based tree**. You navigate routes to find data endpoints, then query them with facet filters and frequency options.
+
+## CLI Reference
+
+### Explore the API tree
+
+```bash
+# Top-level routes
+eia routes
+
+# Navigate deeper
+eia routes electricity
+eia routes electricity/rto
+eia routes electricity/rto/fuel-type-data  # Error if leaf — use 'eia meta' instead
+```
+
+### Inspect a data endpoint
+
+```bash
+# Show facets, frequencies, and data columns
+eia meta electricity/rto/fuel-type-data
+eia meta petroleum/pri/spt
+eia meta natural-gas/pri/sum
+```
+
+### List facet values
+
+```bash
+# List all values for a facet
+eia facets electricity/rto/fuel-type-data respondent
+eia facets electricity/rto/fuel-type-data fueltype
+eia facets petroleum/pri/spt series --format csv
+```
+
+### Fetch data
+
+```bash
+# Basic query
+eia get electricity/rto/fuel-type-data \
+  --start 2024-06-01 --end 2024-06-08 \
+  --frequency hourly \
+  --facet respondent=CISO \
+  --data value
+
+# Multiple facet values (repeat --facet)
+eia get electricity/retail-sales \
+  --start 2024-01-01 --end 2024-12-31 \
+  --facet stateid=CA --facet sectorid=RES --facet sectorid=COM \
+  --data revenue --data sales
+
+# Export to CSV
+eia get petroleum/pri/spt --start 2024-01-01 --end 2024-06-01 \
+  --format csv --output prices.csv
+
+# Sort
+eia get electricity/rto/fuel-type-data \
+  --start 2024-06-01 --end 2024-06-02 \
+  --frequency hourly --facet respondent=CISO --data value \
+  --sort period --sort-dir desc
+```
+
+### Fetch + eval pandas expression
+
+```bash
+# Descriptive stats
+eia exec electricity/rto/fuel-type-data \
+  --start 2024-06-01 --end 2024-06-08 \
+  --frequency hourly --facet respondent=CISO --data value \
+  -x "df.describe()"
+
+# Group by fuel type
+eia exec electricity/rto/fuel-type-data \
+  --start 2024-06-01 --end 2024-06-08 \
+  --frequency hourly --facet respondent=CISO --data value \
+  -x "df.groupby('fueltype')['value'].mean()"
+
+# Daily aggregation
+eia exec natural-gas/pri/sum \
+  --start 2024-01-01 --end 2024-06-01 \
+  -x "df.groupby('process')['value'].mean().sort_values(ascending=False)"
+```
+
+### Output options (all commands)
+
+```
+--format table|csv|json   (default: table)
+--output file.csv         (write to file instead of stdout)
+```
+
+## Common Routes
+
+| Route | Description |
+|-------|-------------|
+| `electricity/rto/fuel-type-data` | Real-time grid generation by fuel type |
+| `electricity/rto/region-data` | Real-time grid demand/generation by region |
+| `electricity/rto/interchange-data` | Real-time interchange between regions |
+| `electricity/retail-sales` | Retail electricity sales (monthly/annual) |
+| `electricity/electric-power-operational-data` | Power plant operational data |
+| `petroleum/pri/spt` | Spot petroleum prices (crude, gasoline, etc.) |
+| `petroleum/sum/sndw` | Weekly petroleum supply/demand |
+| `natural-gas/pri/sum` | Natural gas prices summary |
+| `natural-gas/sum/lsum` | Natural gas supply/demand summary |
+| `coal/shipments/receipts` | Coal shipments and receipts |
+| `total-energy/data` | Total energy overview (monthly/annual) |
+
+Use `eia routes` to discover more. Use `eia meta <route>` to see exact facets and frequencies.
+
+## Facet Conventions
+
+- **Format**: `--facet key=value` (repeatable)
+- **Multiple values**: repeat the flag — `--facet sectorid=RES --facet sectorid=COM`
+- **Common facets**: `respondent` (grid operator), `fueltype`, `stateid`, `sectorid`, `series`
+- Each endpoint has different facets — use `eia meta` and `eia facets` to discover them
+
+## Python Library
+
+```python
+from eia import EIAClient
+
+client = EIAClient()  # reads config file, then EIA_API_KEY env var
+
+# Navigate the route tree
+route = client.route("electricity/rto/fuel-type-data")
+route.routes          # Dict of child routes (if branch node)
+route.data            # Data object (if leaf node)
+
+# Inspect metadata
+route.data.facets              # FacetContainer with attribute access
+route.data.frequencies         # List[FrequencyInfo]
+route.data.data_columns        # Dict[str, DataColumnInfo]
+route.data.facets.respondent.get_values()  # List[FacetValue]
+
+# Direct access to a data endpoint
+data = client.get_data_endpoint("electricity/rto/fuel-type-data")
+
+# Fetch data as DataFrame
+df = data.get(
+    data_columns=["value"],
+    facets={"respondent": "CISO"},
+    frequency="hourly",
+    start="2024-01-01",
+    end="2024-01-31",
+    sort=[{"column": "period", "direction": "desc"}],
+)
+```
+
+## Configuration
+
+```bash
+# Store your API key persistently (recommended)
+eia config set api-key YOUR_KEY
+
+# Verify it's stored
+eia config get api-key
+```
+
+The config file is stored at `~/.config/eia/config.toml`.
+
+## Key Conventions
+
+- The `period` column is auto-converted to datetime (UTC for non-local frequencies)
+- The `value` column is auto-converted to numeric
+- Pagination is automatic by default (fetches all pages)
+- API key resolution: config file (`~/.config/eia/config.toml`) > `EIA_API_KEY` env var
+- API page limit is 5000 rows per request
+- Custom exception: `EIAError` (includes HTTP status code and API error code)

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "python-eia"
-version = "0.2.0"
+version = "0.2.1"
 description = "A Python client for the U.S. Energy Information Administration (EIA) API v2"
 readme = "README.md"
 requires-python = ">=3.10"