changed to skill provider

src/personal_mcp/mcp.py

@@ -14,18 +14,13 @@ from fastmcp.server.transforms.search import RegexSearchTransform
 
 from personal_mcp.catalog.server import build_prompt_detail_payload
 from personal_mcp.catalog.server import build_prompts_index_payload
-from personal_mcp.catalog.server import build_skill_detail_payload
-from personal_mcp.catalog.server import build_skills_index_payload
-from personal_mcp.catalog.server import get_pattern_by_id_payload
 from personal_mcp.catalog.server import get_prompt_by_id_payload
-from personal_mcp.catalog.server import search_patterns_payload
 from personal_mcp.catalog.server import search_prompts_payload
 from personal_mcp.registry.load import get_docs_registry
 from personal_mcp.registry.models.registry import DocsRegistry
 from personal_mcp.registry.read import read_docs_markdown_path
 from personal_mcp.registry.read import read_prompt_document
-from personal_mcp.registry.read import read_skill_document
-from personal_mcp.registry.read import read_skill_reference
+from personal_mcp.skills import create_skills_provider
 
 TOOL_SEARCH_MODE = os.getenv("PERSONAL_MCP_TOOL_SEARCH", "none").strip().lower()
 TOOL_SEARCH_MAX_RESULTS = os.getenv("PERSONAL_MCP_TOOL_SEARCH_MAX_RESULTS", "5")
@@ -123,64 +118,6 @@ def _register_prompt_objects(mcp: FastMCP, registry: DocsRegistry) -> None:
 
 
 def _register_components(mcp: FastMCP, registry: DocsRegistry) -> None:
-    @mcp.resource(
-        "resource://catalog/skills_index",
-        mime_type="application/json",
-        tags={"catalog"},
-        annotations=_ro_annotations(),
-    )
-    def skills_index() -> dict[str, Any]:
-        return build_skills_index_payload(registry)
-
-    @mcp.resource(
-        "resource://catalog/skills_index{?q,tag,capability,cursor,limit}",
-        mime_type="application/json",
-        tags={"catalog"},
-        annotations=_ro_annotations(),
-    )
-    def skills_index_query(
-        q: str | None = None,
-        tag: str | None = None,
-        capability: str | None = None,
-        cursor: str | None = None,
-        limit: int | None = None,
-    ) -> dict[str, Any]:
-        return build_skills_index_payload(
-            registry,
-            query=q,
-            tag=tag,
-            capability=capability,
-            cursor=cursor,
-            limit=limit,
-        )
-
-    @mcp.resource(
-        "resource://catalog/skills/{skill_id}",
-        mime_type="application/json",
-        tags={"catalog"},
-        annotations=_ro_annotations(),
-    )
-    def skill_detail(skill_id: str) -> dict[str, Any]:
-        return build_skill_detail_payload(registry, skill_id)
-
-    @mcp.resource(
-        "resource://skills/{skill_id}/document",
-        mime_type="text/markdown",
-        tags={"skill-doc"},
-        annotations=_ro_annotations(),
-    )
-    def skill_document(skill_id: str) -> dict[str, str]:
-        return read_skill_document(registry, skill_id)
-
-    @mcp.resource(
-        "resource://skills/{skill_id}/references/{ref_id}",
-        mime_type="text/markdown",
-        tags={"reference"},
-        annotations=_ro_annotations(),
-    )
-    def skill_reference(skill_id: str, ref_id: str) -> dict[str, str]:
-        return read_skill_reference(registry, skill_id=skill_id, ref_id=ref_id)
-
     @mcp.resource(
         "resource://docs/{path*}",
         mime_type="text/markdown",
@@ -237,38 +174,6 @@ def _register_components(mcp: FastMCP, registry: DocsRegistry) -> None:
     def prompt_document(prompt_id: str) -> dict[str, str]:
         return read_prompt_document(registry, prompt_id)
 
-    @mcp.tool
-    def search_patterns(
-        query: str = "",
-        tags: list[str] | None = None,
-        skip: int = 0,
-        limit: int = 20,
-    ) -> dict[str, Any]:
-        """Search normalized pattern metadata with optional tags and pagination."""
-        return search_patterns_payload(
-            registry,
-            query=query,
-            tags=tags,
-            skip=skip,
-            limit=limit,
-        )
-
-    @mcp.tool
-    def get_pattern_by_id(id: str) -> dict[str, Any]:
-        """Return one normalized pattern by stable id."""
-        return get_pattern_by_id_payload(registry, id)
-
-    @mcp.tool
-    def get_skill_document_by_id(skill_id: str) -> dict[str, Any]:
-        """Return the canonical skill document payload for a stable skill id."""
-        if skill_id not in registry.skills_by_id:
-            return {"found": False, "id": skill_id}
-
-        return {
-            "found": True,
-            "document": read_skill_document(registry, skill_id),
-        }
-
     @mcp.tool
     def search_prompts(
         query: str = "",
@@ -296,5 +201,6 @@ def create_mcp() -> FastMCP:
     mcp = FastMCP("personal-mcp", on_duplicate="error")
     _register_components(mcp, registry)
     _register_prompt_objects(mcp, registry)
+    mcp.add_provider(create_skills_provider())
     _install_tool_fallback_transforms(mcp)
     return mcp