diff --git a/README.md b/README.md
index 1b1f5e6..2c8031c 100644
--- a/README.md
+++ b/README.md
@@ -162,6 +162,44 @@ Options:
 Your choice:
 ```
 
+### Skills
+
+Deep Code Agent can load DeepAgents-native skills from a local skills directory when using the filesystem backend.
+By default, it looks for project skills at:
+
+```plaintext
+<codebase_dir>/.agents/skills
+```
+
+Each skill is a directory with a `SKILL.md` file:
+
+```plaintext
+.agents/skills/
+└── my-skill/
+    └── SKILL.md
+```
+
+`SKILL.md` must include YAML frontmatter with a skill name and description:
+
+```markdown
+---
+name: my-skill
+description: Specialized workflow for a project task
+---
+
+# My Skill
+
+Use these instructions when the task matches this workflow.
+```
+
+To load explicit skill directories, pass `--skills-dir`. This option can be provided multiple times, and explicit directories replace the default auto-discovery path:
+
+```bash
+uv run deep-code-agent --backend-type filesystem --skills-dir .agents/skills
+```
+
+Skills currently require `--backend-type filesystem`; the state backend does not load local skill directories.
+
 ### Working with Subagents
 
 The Deep Code Agent includes specialized subagents that can be used independently or as part of the main workflow:
diff --git a/pyproject.toml b/pyproject.toml
index 354e3df..c5b8512 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ readme = "README.md"
 requires-python = ">=3.13,<4.0"
 license-files = ["LICENSE"]
 dependencies = [
-    "deepagents>=0.2.8",
+    "deepagents>=0.6.7",
     "langchain>=1.1.0",
     "langchain-openai>=1.1.0",
     "langgraph>=1.0.4",
diff --git a/src/deep_code_agent/cli.py b/src/deep_code_agent/cli.py
index 79742e2..1b3ea3b 100644
--- a/src/deep_code_agent/cli.py
+++ b/src/deep_code_agent/cli.py
@@ -1,6 +1,7 @@
 """Command-line interface for Deep Code Agent."""
 
 import argparse
+from pathlib import Path
 from typing import TYPE_CHECKING, Any
 
 from deep_code_agent import __version__
@@ -20,6 +21,18 @@ def _format_args(args: dict[str, Any], max_length: int = 200) -> str:
     return "\n".join(formatted)
 
 
+def _resolve_skills(args, codebase_dir: str) -> list[str] | None:
+    """Resolve skill directories from CLI args or the project default."""
+    if args.skills_dir:
+        return [Path(skill_dir).expanduser().absolute().as_posix() for skill_dir in args.skills_dir]
+
+    default_skills = Path(codebase_dir) / ".agents" / "skills"
+    if default_skills.exists():
+        return [default_skills.absolute().as_posix()]
+
+    return None
+
+
 def _initialize_agent(args, codebase_dir: str) -> Any:
     """Initialize model and agent for both CLI and TUI modes.
 
@@ -36,6 +49,7 @@ def _initialize_agent(args, codebase_dir: str) -> Any:
     from deep_code_agent.models.llms.langchain_chat import create_chat_model
 
     load_dotenv()
+    skills = _resolve_skills(args, codebase_dir)
 
     model = None
     if any([args.model_name, args.api_key, args.base_url]) or args.model_provider != "openai":
@@ -51,6 +65,7 @@ def _initialize_agent(args, codebase_dir: str) -> Any:
         model=model,
         checkpointer=InMemorySaver(),
         backend_type=args.backend_type,
+        skills=skills,
     )
 
 
@@ -194,6 +209,12 @@ def main() -> None:
     parser.add_argument("--base-url", default=None, help="Base URL for model service")
     parser.add_argument("--thread-id", default="1", help="Thread ID for session")
     parser.add_argument("--tui", action="store_true", help="Use TUI mode (experimental)")
+    parser.add_argument(
+        "--skills-dir",
+        action="append",
+        default=None,
+        help="Skill directory source. Can be provided multiple times. Defaults to <codebase_dir>/.agents/skills if it exists.",
+    )
 
     args = parser.parse_args()
 
@@ -283,6 +304,7 @@ def agent_factory():
             "model": args.model_name or "default",
             "session_id": args.thread_id,
             "codebase_dir": codebase_dir,
+            "skills": _resolve_skills(args, codebase_dir) or [],
         }
 
         app = DeepCodeAgentApp(
diff --git a/src/deep_code_agent/code_agent.py b/src/deep_code_agent/code_agent.py
index 9c9525c..060d8aa 100644
--- a/src/deep_code_agent/code_agent.py
+++ b/src/deep_code_agent/code_agent.py
@@ -27,6 +27,7 @@ def create_code_agent(
     checkpointer: Any = None,
     backend_type: str = "state",
     interrupt_on: dict[str, bool | Any] | None = DEFAULT_INTERRUPT_ON,
+    skills: list[str] | None = None,
 ):
     """
     Create a DeepAgents-based Code Agent for software development tasks.
@@ -44,6 +45,8 @@ def create_code_agent(
         backend_type: Backend type to use. Must be either "state" or "filesystem".
         interrupt_on: Configuration for human-in-the-loop approval. Maps tool names
             to approval settings. Set to None to disable all approvals.
+        skills: Optional list of local skill directory sources. Skills are only
+            supported with the filesystem backend in this project.
 
     Returns:
         A fully configured Code Agent instance ready to handle software development tasks.
@@ -53,6 +56,9 @@ def create_code_agent(
         ValueError: If an unsupported backend type is provided.
     """
     path = Path(codebase_dir)
+    if backend_type == "state" and skills:
+        raise ValueError("Skills require filesystem backend; use backend_type='filesystem'.")
+
     if backend_type == "filesystem" and not path.exists():
         path.mkdir(parents=True, exist_ok=True)
 
@@ -64,7 +70,7 @@ def create_code_agent(
     if backend_type == "filesystem":
         from deepagents.backends.filesystem import FilesystemBackend
 
-        backend = FilesystemBackend(root_dir=codebase_dir)
+        backend = FilesystemBackend(root_dir=codebase_dir, virtual_mode=False)
         tools = [make_terminal_tool(codebase_dir)]
     elif backend_type == "state":
         from deepagents.backends.state import StateBackend
@@ -85,6 +91,7 @@ def backend(rt):
             checkpointer=checkpointer,
             backend=backend,
             interrupt_on=interrupt_on,
+            skills=skills,
         )
     except Exception as exc:
         raise RuntimeError(f"Error creating DeepAgent: {exc}") from exc
diff --git a/src/deep_code_agent/tui/bridge/agent_bridge.py b/src/deep_code_agent/tui/bridge/agent_bridge.py
index 8627cfe..7e85ee2 100644
--- a/src/deep_code_agent/tui/bridge/agent_bridge.py
+++ b/src/deep_code_agent/tui/bridge/agent_bridge.py
@@ -55,6 +55,11 @@ def _reset_streaming_state(self) -> None:
         self._pending_tool_widgets.clear()
         self._tool_widgets_by_id.clear()
 
+    def _finish_streaming_message_segment(self) -> None:
+        """Detach the current assistant bubble so later chunks start a new one."""
+        self._streaming_chunks.clear()
+        self._streaming_bubble = None
+
     def _extract_tool_name_from_interrupt(self, interrupt_data: dict) -> str:
         """Extract tool name from interrupt data.
 
@@ -346,6 +351,7 @@ def handle_event() -> None:
                     input_box.focus_input()
 
                 elif event.type == EventType.TOOL_CALL:
+                    self._finish_streaming_message_segment()
                     tool_data = event.data or {}
                     tool_name = (
                         tool_data.get("name", "unknown")
@@ -414,6 +420,7 @@ def handle_event() -> None:
                         self._active_tool_widget.update_status("running")
 
                 elif event.type == EventType.TOOL_SUCCESS:
+                    self._finish_streaming_message_segment()
                     result = event.data or ""
                     meta = event.metadata or {}
                     tool_call_id = meta.get("tool_call_id") if isinstance(meta, dict) else None
@@ -449,6 +456,7 @@ def handle_event() -> None:
                         self._active_tool_widget = None
 
                 elif event.type == EventType.TOOL_ERROR:
+                    self._finish_streaming_message_segment()
                     error = event.data or "Unknown error"
                     meta = event.metadata or {}
                     tool_call_id = meta.get("tool_call_id") if isinstance(meta, dict) else None
diff --git a/tests/test_cli.py b/tests/test_cli.py
index ee6cc4f..24e1df3 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -6,7 +6,7 @@
 import pytest
 
 from deep_code_agent import __version__
-from deep_code_agent.cli import _initialize_agent, _run_tui_mode, main
+from deep_code_agent.cli import _initialize_agent, _resolve_skills, _run_tui_mode, main
 
 
 def test_main_prints_version_and_exits(capsys):
@@ -37,6 +37,7 @@ def test_initialize_agent_skips_model_creation_for_default_provider(
         api_key=None,
         base_url=None,
         backend_type="state",
+        skills_dir=None,
     )
 
     _initialize_agent(args, "/tmp/project")
@@ -46,6 +47,7 @@ def test_initialize_agent_skips_model_creation_for_default_provider(
     assert mock_create_code_agent.call_args.kwargs["model"] is None
     assert mock_create_code_agent.call_args.kwargs["backend_type"] == "state"
     assert mock_create_code_agent.call_args.kwargs["checkpointer"] is mock_checkpointer.return_value
+    assert mock_create_code_agent.call_args.kwargs["skills"] is None
 
 
 @patch("dotenv.load_dotenv")
@@ -65,6 +67,7 @@ def test_initialize_agent_builds_model_for_explicit_provider(
         api_key=None,
         base_url=None,
         backend_type="filesystem",
+        skills_dir=None,
     )
     mock_create_chat_model.return_value = object()
 
@@ -81,12 +84,72 @@ def test_initialize_agent_builds_model_for_explicit_provider(
     assert mock_create_code_agent.call_args.kwargs["checkpointer"] is mock_checkpointer.return_value
 
 
+def test_resolve_skills_uses_explicit_dirs_in_order(tmp_path):
+    """Explicit skill dirs should be absolutized and keep user order."""
+    first = tmp_path / "first"
+    second = tmp_path / "second"
+
+    result = _resolve_skills(SimpleNamespace(skills_dir=[str(first), str(second)]), str(tmp_path))
+
+    assert result == [first.absolute().as_posix(), second.absolute().as_posix()]
+
+
+def test_resolve_skills_finds_default_agents_skills(tmp_path):
+    """Default skills path is <codebase_dir>/.agents/skills."""
+    default_skills = tmp_path / ".agents" / "skills"
+    default_skills.mkdir(parents=True)
+
+    result = _resolve_skills(SimpleNamespace(skills_dir=None), str(tmp_path))
+
+    assert result == [default_skills.absolute().as_posix()]
+
+
+def test_resolve_skills_returns_none_when_default_missing(tmp_path):
+    """No explicit dirs and no default directory should disable skills."""
+    result = _resolve_skills(SimpleNamespace(skills_dir=None), str(tmp_path))
+
+    assert result is None
+
+
+@patch("dotenv.load_dotenv")
+@patch("deep_code_agent.code_agent.create_code_agent")
+@patch("deep_code_agent.models.llms.langchain_chat.create_chat_model")
+@patch("langgraph.checkpoint.memory.InMemorySaver")
+def test_initialize_agent_passes_resolved_skills(
+    mock_checkpointer,
+    mock_create_chat_model,
+    mock_create_code_agent,
+    _mock_load_dotenv,
+    tmp_path,
+):
+    """Agent initialization should pass resolved skill directories."""
+    skills = tmp_path / ".agents" / "skills"
+    skills.mkdir(parents=True)
+    args = SimpleNamespace(
+        model_name=None,
+        model_provider="openai",
+        api_key=None,
+        base_url=None,
+        backend_type="filesystem",
+        skills_dir=None,
+    )
+
+    _initialize_agent(args, str(tmp_path))
+
+    assert mock_create_code_agent.call_args.kwargs["skills"] == [skills.absolute().as_posix()]
+
+
 @patch("deep_code_agent.tui.DeepCodeAgentApp")
 @patch("deep_code_agent.cli._initialize_agent")
 def test_tui_mode_defers_agent_initialization_until_after_app_starts(mock_initialize_agent, mock_app_class):
     """TUI mode should render before doing slow agent initialization."""
     args = SimpleNamespace(
         model_name=None,
+        model_provider="openai",
+        api_key=None,
+        base_url=None,
+        backend_type="filesystem",
+        skills_dir=["/tmp/custom-skills"],
         thread_id="test-thread",
     )
     app_instance = mock_app_class.return_value
@@ -96,4 +159,6 @@ def test_tui_mode_defers_agent_initialization_until_after_app_starts(mock_initia
     mock_initialize_agent.assert_not_called()
     mock_app_class.assert_called_once()
     assert "agent_factory" in mock_app_class.call_args.kwargs
+    mock_app_class.call_args.kwargs["agent_factory"]()
+    assert mock_initialize_agent.call_args.args == (args, mock_app_class.call_args.kwargs["session_info"]["codebase_dir"])
     app_instance.run.assert_called_once_with()
diff --git a/tests/test_code_agent.py b/tests/test_code_agent.py
index eae3161..d6a015c 100644
--- a/tests/test_code_agent.py
+++ b/tests/test_code_agent.py
@@ -191,11 +191,46 @@ def test_filesystem_backend_creates_directory_and_mounts_terminal(
 
         assert target_dir.exists()
         call_kwargs = mock_create_agent.call_args.kwargs
-        mock_filesystem_backend.assert_called_once_with(root_dir=target_dir.absolute().as_posix())
+        mock_filesystem_backend.assert_called_once_with(root_dir=target_dir.absolute().as_posix(), virtual_mode=False)
         mock_make_terminal_tool.assert_called_once_with(target_dir.absolute().as_posix())
         assert call_kwargs["backend"] is mock_filesystem_backend.return_value
         assert call_kwargs["tools"] == [mock_terminal_tool]
         assert call_kwargs["tools"][0] is not terminal
+        assert call_kwargs["skills"] is None
+
+    @patch("deepagents.backends.filesystem.FilesystemBackend")
+    @patch("deep_code_agent.code_agent.make_terminal_tool")
+    @patch("deep_code_agent.code_agent.create_deep_agent")
+    @patch("deep_code_agent.code_agent.create_chat_model")
+    @patch("deep_code_agent.code_agent.get_system_prompt")
+    @patch("deep_code_agent.code_agent.create_subagent_configurations")
+    def test_filesystem_backend_passes_skills(
+        self,
+        mock_subagents,
+        mock_prompt,
+        mock_create_chat_model,
+        mock_create_agent,
+        mock_make_terminal_tool,
+        mock_filesystem_backend,
+        tmp_path,
+    ):
+        """Test filesystem backend passes skill directories to DeepAgents."""
+        mock_prompt.return_value = "Root: {codebase_dir}"
+        mock_subagents.return_value = []
+        mock_create_chat_model.return_value = MagicMock()
+        mock_create_agent.return_value = MagicMock()
+        mock_make_terminal_tool.return_value = MagicMock()
+        skills = [tmp_path.joinpath(".agents", "skills").as_posix()]
+
+        create_code_agent(str(tmp_path), backend_type="filesystem", skills=skills)
+
+        call_kwargs = mock_create_agent.call_args.kwargs
+        assert call_kwargs["skills"] == skills
+
+    def test_state_backend_rejects_skills(self):
+        """State backend should not accept local skill directories."""
+        with pytest.raises(ValueError, match="Skills require filesystem backend"):
+            create_code_agent("/tmp/test", backend_type="state", skills=["/tmp/test/.agents/skills"])
 
     @patch("deep_code_agent.code_agent.create_deep_agent")
     @patch("deep_code_agent.code_agent.create_chat_model")
diff --git a/tests/tui/test_agent_bridge_helpers.py b/tests/tui/test_agent_bridge_helpers.py
index 9c40ba3..7e74b4a 100644
--- a/tests/tui/test_agent_bridge_helpers.py
+++ b/tests/tui/test_agent_bridge_helpers.py
@@ -1,5 +1,7 @@
 """Tests for AgentBridge helper extraction methods."""
 
+import asyncio
+
 
 def test_agent_bridge_extracts_tool_name_from_action_requests():
     from deep_code_agent.tui.bridge.agent_bridge import AgentBridge
@@ -53,3 +55,66 @@ def test_agent_bridge_helper_fallbacks_and_config():
     assert bridge._extract_action_requests_from_interrupt({"unexpected": True}) == []
     assert bridge._extract_num_action_requests({"unexpected": True}) == 1
     assert bridge.cancel_current() is None
+
+
+def test_agent_bridge_starts_new_bubble_after_tool_call():
+    from deep_code_agent.tui.bridge.agent_bridge import AgentBridge
+    from deep_code_agent.tui.bridge.stream_handler import AgentEvent, EventType
+
+    class FakeBubble:
+        def __init__(self, content):
+            self.content = content
+
+        def update_content(self, content):
+            self.content = content
+
+    class FakeChatLog:
+        def __init__(self):
+            self.messages = []
+
+        def add_agent_message(self, content):
+            bubble = FakeBubble(content)
+            self.messages.append(bubble)
+            return bubble
+
+        def add_tool_call_widget(self, **kwargs):
+            return object()
+
+    class FakeStatusBar:
+        def set_streaming(self):
+            pass
+
+    class FakeInputBox:
+        pass
+
+    class FakeSidePanel:
+        def add_tool_call(self, tool_name, args):
+            pass
+
+    class FakeApp:
+        debug_tool_calls = False
+
+        def __init__(self):
+            self._chat_log = FakeChatLog()
+            self._status_bar = FakeStatusBar()
+            self._input_box = FakeInputBox()
+            self._side_panel = FakeSidePanel()
+
+        def call_from_thread(self, func, *args, **kwargs):
+            func(*args, **kwargs)
+
+        def notify(self, *args, **kwargs):
+            pass
+
+    app = FakeApp()
+    bridge = AgentBridge(agent=object(), app=app)
+
+    asyncio.run(bridge._dispatch_event(AgentEvent(type=EventType.MESSAGE_CHUNK, data="Before tools.")))
+    asyncio.run(
+        bridge._dispatch_event(
+            AgentEvent(type=EventType.TOOL_CALL, data={"name": "ls", "args": {}, "id": "call_1"})
+        )
+    )
+    asyncio.run(bridge._dispatch_event(AgentEvent(type=EventType.MESSAGE_CHUNK, data="After tools.")))
+
+    assert [message.content for message in app._chat_log.messages] == ["Before tools.", "After tools."]
diff --git a/uv.lock b/uv.lock
index 088e027..74b7e74 100644
--- a/uv.lock
+++ b/uv.lock
@@ -13,7 +13,7 @@ wheels = [
 
 [[package]]
 name = "anthropic"
-version = "0.75.0"
+version = "0.105.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "anyio" },
@@ -25,9 +25,9 @@ dependencies = [
     { name = "sniffio" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/04/1f/08e95f4b7e2d35205ae5dcbb4ae97e7d477fc521c275c02609e2931ece2d/anthropic-0.75.0.tar.gz", hash = "sha256:e8607422f4ab616db2ea5baacc215dd5f028da99ce2f022e33c7c535b29f3dfb", size = 439565, upload-time = "2025-11-24T20:41:45.28Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/46/46/47581b8c689c743ceabf6a0f9ff48472160900ce802d26c0fb50423997b3/anthropic-0.105.2.tar.gz", hash = "sha256:0e26b90841c2dced7cc6e98d21d5517d0be33f1876b8e779f478202e28bcaa07", size = 853789, upload-time = "2026-05-29T00:21:14.104Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/60/1c/1cd02b7ae64302a6e06724bf80a96401d5313708651d277b1458504a1730/anthropic-0.75.0-py3-none-any.whl", hash = "sha256:ea8317271b6c15d80225a9f3c670152746e88805a7a61e14d4a374577164965b", size = 388164, upload-time = "2025-11-24T20:41:43.587Z" },
+    { url = "https://files.pythonhosted.org/packages/83/75/be0c357e33a5a56c8f9db5b4212f886138d2bf59c0952d858f6b75d710ef/anthropic-0.105.2-py3-none-any.whl", hash = "sha256:e53ed5f6bf36fb1ecb9b25d8634cfd30e02fab9fb3374a0c2d5c585874757230", size = 837507, upload-time = "2026-05-29T00:21:15.528Z" },
 ]
 
 [[package]]
@@ -333,7 +333,7 @@ dev = [
 
 [package.metadata]
 requires-dist = [
-    { name = "deepagents", specifier = ">=0.2.8" },
+    { name = "deepagents", specifier = ">=0.6.7" },
     { name = "langchain", specifier = ">=1.1.0" },
     { name = "langchain-openai", specifier = ">=1.1.0" },
     { name = "langgraph", specifier = ">=1.0.4" },
@@ -351,17 +351,19 @@ dev = [
 
 [[package]]
 name = "deepagents"
-version = "0.3.0"
+version = "0.6.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "langchain" },
     { name = "langchain-anthropic" },
     { name = "langchain-core" },
+    { name = "langchain-google-genai" },
+    { name = "langsmith" },
     { name = "wcmatch" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/cc/c7/d3c2840bd0e66b6cd5948aa69625e129328ad261308e18fcb9a9420709da/deepagents-0.3.0.tar.gz", hash = "sha256:3dd4d2ed53efb1ef78aeb1020a5696c0ec7e58e627b305a6665d33fe6fbdedff", size = 51387, upload-time = "2025-12-08T21:38:44.077Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/51/bb/bb837a2c51631fe9d7eedf6aca7629ddca6336831801e75efcd2f5fa9c27/deepagents-0.6.7.tar.gz", hash = "sha256:af7b5857b28e29a847a4ced4cc7aaa809d33d42107696b1ca5d978d17e96b831", size = 194236, upload-time = "2026-05-30T04:42:14.591Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/22/e9/60bab7f37ff38bf982ea578e457ed1878ded613a3425462bcd07b00487e9/deepagents-0.3.0-py3-none-any.whl", hash = "sha256:9e23532d8d535dc2b0b4e0834453a1223a6a8f81b77947c0faf54537d05ce89a", size = 54065, upload-time = "2025-12-08T21:38:42.956Z" },
+    { url = "https://files.pythonhosted.org/packages/97/25/3a7f23d04778ccb95542f1b1ed39826290916221cc8203d0fb8b26c3edc1/deepagents-0.6.7-py3-none-any.whl", hash = "sha256:3518c1e5f4b9f6588ba39912b668b42b5c864b99a638e94c166d1c7176c7388e", size = 218740, upload-time = "2026-05-30T04:42:13.225Z" },
 ]
 
 [[package]]
@@ -391,12 +393,60 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c1/ea/53f2148663b321f21b5a606bd5f191517cf40b7072c0497d3c92c4a13b1e/executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017", size = 28317, upload-time = "2025-09-01T09:48:08.5Z" },
 ]
 
+[[package]]
+name = "filetype"
+version = "1.2.0"
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