feat(skills): include uploads directory in skill scanning

backend/packages/harness/deerflow/agents/lead_agent/prompt.py

@@ -394,7 +394,17 @@ def get_skills_prompt_section(available_skills: set[str] | None = None) -> str:
     Returns the <skill_system>...</skill_system> block listing all enabled skills,
     suitable for injection into any agent's system prompt.
     """
-    skills = _get_enabled_skills()
+    thread_id = None
+    try:
+        from langgraph.config import get_config
+
+        config = get_config()
+        thread_id = config.get("configurable", {}).get("thread_id")
+    except Exception:
+        pass
+
+    # Keep regular enable/disable behavior while letting uploads be default-enabled in loader.
+    skills = load_skills(enabled_only=True, thread_id=thread_id)
 
     try:
         from deerflow.config import get_app_config
@@ -561,4 +571,6 @@ def apply_prompt_template(subagent_enabled: bool = False, max_concurrent_subagen
         acp_section=acp_and_mounts_section,
     )
 
+    logger.debug("Generated full system prompt:\n%s", prompt)
+
     return prompt + f"\n<current_date>{datetime.now().strftime('%Y-%m-%d, %A')}</current_date>"

backend/packages/harness/deerflow/config/extensions_config.py

@@ -192,8 +192,8 @@ class ExtensionsConfig(BaseModel):
         """
         skill_config = self.skills.get(skill_name)
         if skill_config is None:
-            # Default to enable for public & custom skill
+            # Default to enable for public/custom/uploads skills.
-            return skill_category in ("public", "custom")
+            return skill_category in ("public", "custom", "uploads")
         return skill_config.enabled
 
 

backend/packages/harness/deerflow/skills/loader.py

@@ -8,6 +8,27 @@ from .types import Skill
 logger = logging.getLogger(__name__)
 
 
+UPLOADS_SKILLS_PATH = Path("/mnt/user-data/uploads")
+
+
+def get_uploads_skills_path(thread_id: str | None = None) -> Path:
+    """Resolve the uploads skills root for the current execution context.
+
+    When called from the LangGraph process, uploaded skills live under the
+    host-side per-thread data directory rather than the sandbox mount path.
+    """
+    if not thread_id:
+        return UPLOADS_SKILLS_PATH
+
+    try:
+        from deerflow.config.paths import get_paths
+
+        return get_paths().sandbox_uploads_dir(thread_id)
+    except Exception as exc:
+        logger.warning("Failed to resolve uploads skills path for thread %s: %s", thread_id, exc)
+        return UPLOADS_SKILLS_PATH
+
+
 def get_skills_root_path() -> Path:
     """
     Get the root path of the skills directory.
@@ -22,12 +43,19 @@ def get_skills_root_path() -> Path:
     return skills_dir
 
 
-def load_skills(skills_path: Path | None = None, use_config: bool = True, enabled_only: bool = False) -> list[Skill]:
+def load_skills(
+    skills_path: Path | None = None,
+    use_config: bool = True,
+    enabled_only: bool = False,
+    thread_id: str | None = None,
+) -> list[Skill]:
     """
     Load all skills from the skills directory.
 
-    Scans both public and custom skill directories, parsing SKILL.md files
+    Scans public/custom skill directories under the configured skills root,
-    to extract metadata. The enabled state is determined by the skills_state_config.json file.
+    and also scans uploaded skills under /mnt/user-data/uploads.
+    SKILL.md metadata is parsed and enabled state is derived from
+    skills_state_config.json.
 
     Args:
         skills_path: Optional custom path to skills directory.
@@ -35,6 +63,8 @@ def load_skills(skills_path: Path | None = None, use_config: bool = True, enable
                      Otherwise defaults to deer-flow/skills
         use_config: Whether to load skills path from config (default: True)
         enabled_only: If True, only return enabled skills (default: False)
+        thread_id: Optional thread ID used to resolve per-thread uploads skills
+               from the LangGraph host process
 
     Returns:
         List of Skill objects, sorted by name
@@ -57,12 +87,22 @@ def load_skills(skills_path: Path | None = None, use_config: bool = True, enable
 
     skills = []
 
-    # Scan public and custom directories
+    # Scan built-in roots and uploaded skills mounted in personal workspace.
-    for category in ["public", "custom"]:
+    scan_targets: list[tuple[str, Path]] = [
-        category_path = skills_path / category
+        ("public", skills_path / "public"),
+        ("custom", skills_path / "custom"),
+        ("uploads", get_uploads_skills_path(thread_id)),
+    ]
+
+    for category, category_path in scan_targets:
+        logger.debug("Scanning %s skills under %s", category, category_path)
+
         if not category_path.exists() or not category_path.is_dir():
+            logger.debug("Skip %s scan: directory not found or not a directory (%s)", category, category_path)
             continue
 
+        scanned_skill_dirs: list[str] = []
+
         for current_root, dir_names, file_names in os.walk(category_path, followlinks=True):
             # Keep traversal deterministic and skip hidden directories.
             dir_names[:] = sorted(name for name in dir_names if not name.startswith("."))
@@ -71,11 +111,22 @@ def load_skills(skills_path: Path | None = None, use_config: bool = True, enable
 
             skill_file = Path(current_root) / "SKILL.md"
             relative_path = skill_file.parent.relative_to(category_path)
+            scanned_skill_dirs.append(relative_path.as_posix())
 
             skill = parse_skill_file(skill_file, category=category, relative_path=relative_path)
             if skill:
                 skills.append(skill)
 
+        if scanned_skill_dirs:
+            logger.debug(
+                "%s scan found %d skill directories: %s",
+                category,
+                len(scanned_skill_dirs),
+                ", ".join(sorted(scanned_skill_dirs)),
+            )
+        else:
+            logger.debug("%s scan found no skill directories", category)
+
     # Load skills state configuration and update enabled status
     # NOTE: We use ExtensionsConfig.from_file() instead of get_extensions_config()
     # to always read the latest configuration from disk. This ensures that changes
@@ -86,6 +137,10 @@ def load_skills(skills_path: Path | None = None, use_config: bool = True, enable
 
         extensions_config = ExtensionsConfig.from_file()
         for skill in skills:
+            if skill.category == "uploads":
+                # Uploaded skills should be available by default for the current thread.
+                skill.enabled = True
+                continue
             skill.enabled = extensions_config.is_skill_enabled(skill.name, skill.category)
     except Exception as e:
         # If config loading fails, default to all enabled

backend/packages/harness/deerflow/skills/parser.py

@@ -13,7 +13,7 @@ def parse_skill_file(skill_file: Path, category: str, relative_path: Path | None
 
     Args:
         skill_file: Path to the SKILL.md file
-        category: Category of the skill ('public' or 'custom')
+        category: Category of the skill ('public', 'custom', or 'uploads')
 
     Returns:
         Skill object if parsing succeeds, None otherwise

backend/packages/harness/deerflow/skills/types.py

@@ -12,7 +12,7 @@ class Skill:
     skill_dir: Path
     skill_file: Path
     relative_path: Path  # Relative path from category root to skill directory
-    category: str  # 'public' or 'custom'
+    category: str  # 'public', 'custom', or 'uploads'
     enabled: bool = False  # Whether this skill is enabled
 
     @property
@@ -31,7 +31,10 @@ class Skill:
         Returns:
             Full container path to the skill directory
         """
-        category_base = f"{container_base_path}/{self.category}"
+        if self.category == "uploads":
+            category_base = "/mnt/user-data/uploads"
+        else:
+            category_base = f"{container_base_path}/{self.category}"
         skill_path = self.skill_path
         if skill_path:
             return f"{category_base}/{skill_path}"