ncreighton answer-faq
Use this skill to generate a concise FAQ answer for a given question, optionally grounded in provided context text. Uses an LLM.
- Kind: tool | Niche: ai | Cost tier: near_free | Version: 0.1.0
Empire Integration
import sys
sys.path.insert(0, r'C:\D\Claude Code Projects\_SHARED')
import empire_bootstrap # wires all shared paths
Usage
As a CLI:
python run.py --question <string>
From a Python agent (ATEN runtime):
from skill_library import executor
result = executor.execute("answer-faq", {question=...})
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
question |
string | yes | The question |
context |
string | no | Optional grounding context |
Returns
object — {"status": "ok"|"error", "result": ...}