Add optional db_path and config params to generated skill create_skill()

CHANGELOG.md

@@ -4,6 +4,7 @@
 ### Added
 
 - **Chunk visualization for generated skills**: `visualize_chunk(chunk_id)` function exposed in generated skill packages, enabling callers to render visual grounding from chunk IDs in skill state
+- **Configurable generated skills**: Generated skill `create_skill()` now accepts optional `db_path` and `config` parameters, enabling post-discovery reconfiguration via `skill.reconfigure()` (requires haiku.skills >= 0.11.0)
 
 ### Fixed
 

haiku_rag_slim/haiku/rag/skill_generator/templates/__init__.py.j2

@@ -2,6 +2,7 @@ from pathlib import Path
 
 from pydantic import BaseModel, Field
 
+from haiku.rag.config.models import AppConfig
 from haiku.skills.models import Skill
 from haiku.skills.parser import parse_skill_md
 {% if "ask" in tool_names or "research" in tool_names %}
@@ -62,12 +63,21 @@ def _get_config():
     return get_config()
 
 
-def create_skill() -> Skill:
+def create_skill(
+    db_path: Path | None = None,
+    config: AppConfig | None = None,
+) -> Skill:
     from haiku.rag.skills._tools import create_skill_tools
 
     metadata, instructions = parse_skill_md(Path(__file__).parent / "SKILL.md")
-    config = _get_config()
+
-    tools = create_skill_tools(_DB_PATH, config, SkillState, _TOOL_NAMES)
+    if config is None:
+        config = _get_config()
+
+    if db_path is None:
+        db_path = _DB_PATH
+
+    tools = create_skill_tools(db_path, config, SkillState, _TOOL_NAMES)
     return Skill(
         metadata=metadata,
         instructions=instructions,

haiku_rag_slim/haiku/rag/skills/rag.py

@@ -1,11 +1,11 @@
 import os
 from functools import cache
 from pathlib import Path
-from typing import Any
 
 from pydantic import BaseModel, Field
 
 from haiku.rag.agents.research.models import Citation
+from haiku.rag.config.models import AppConfig
 from haiku.rag.skills._tools import ResearchEntry
 from haiku.rag.store.models.chunk import SearchResult
 from haiku.rag.tools.document import DocumentInfo
@@ -61,7 +61,7 @@ def state_metadata() -> StateMetadata:
 
 def create_skill(
     db_path: Path | None = None,
-    config: Any = None,
+    config: AppConfig | None = None,
 ) -> Skill:
     """Create a RAG skill for searching and analyzing documents.
 

haiku_rag_slim/haiku/rag/skills/rlm.py

@@ -1,10 +1,10 @@
 import os
 from functools import cache
 from pathlib import Path
-from typing import Any
 
 from pydantic import BaseModel
 
+from haiku.rag.config.models import AppConfig
 from haiku.rag.skills._tools import AnalysisEntry
 from haiku.skills.models import Skill, SkillMetadata, SkillSource, StateMetadata
 from haiku.skills.parser import parse_skill_md
@@ -42,7 +42,7 @@ def state_metadata() -> StateMetadata:
 
 def create_skill(
     db_path: Path | None = None,
-    config: Any = None,
+    config: AppConfig | None = None,
 ) -> Skill:
     """Create an RLM analysis skill for computational document analysis.
 

tests/test_skill_generator.py

@@ -142,9 +142,7 @@ class TestRenderTemplates:
         )
         init = tmp_path / "docs-skill" / "docs_skill" / "__init__.py"
         content = init.read_text()
-        assert (
+        assert "create_skill_tools(db_path, config, SkillState, _TOOL_NAMES)" in content
-            "create_skill_tools(_DB_PATH, config, SkillState, _TOOL_NAMES)" in content
-        )
 
     def test_tool_names_in_init(self, tmp_path):
         render_templates(
@@ -273,6 +271,18 @@ class TestRenderTemplates:
         assert "skill_visualize_chunk" not in content
         assert "HaikuRAG" in content
 
+    def test_create_skill_accepts_optional_params(self, tmp_path):
+        render_templates(
+            output_dir=tmp_path,
+            name="docs",
+            description="A docs skill.",
+            tool_names=["search"],
+        )
+        init = tmp_path / "docs-skill" / "docs_skill" / "__init__.py"
+        content = init.read_text()
+        assert "db_path: Path | None = None" in content
+        assert "config: AppConfig | None = None" in content
+
     def test_generated_python_is_valid(self, tmp_path):
         render_templates(
             output_dir=tmp_path,