diff --git a/src/skill_seekers/cli/ai_enhancer.py b/src/skill_seekers/cli/ai_enhancer.py
index f5217b9..9fbfcd8 100644
--- a/src/skill_seekers/cli/ai_enhancer.py
+++ b/src/skill_seekers/cli/ai_enhancer.py
@@ -36,6 +36,7 @@ logger = logging.getLogger(__name__)
 # Import config manager for settings
 try:
     from skill_seekers.cli.config_manager import get_config_manager
+
     CONFIG_AVAILABLE = True
 except ImportError:
     CONFIG_AVAILABLE = False
@@ -107,7 +108,9 @@ class AIEnhancer:
                 logger.warning("⚠️  anthropic package not installed, falling back to LOCAL mode")
                 self.mode = "local"
             except Exception as e:
-                logger.warning(f"⚠️  Failed to initialize API client: {e}, falling back to LOCAL mode")
+                logger.warning(
+                    f"⚠️  Failed to initialize API client: {e}, falling back to LOCAL mode"
+                )
                 self.mode = "local"
 
         if self.mode == "local" and self.enabled:
@@ -212,7 +215,8 @@ DO NOT include any explanation - just write the JSON file.
                     except json.JSONDecodeError:
                         # Try to find JSON in the response
                         import re
-                        json_match = re.search(r'\[[\s\S]*\]|\{[\s\S]*\}', response_text)
+
+                        json_match = re.search(r"\[[\s\S]*\]|\{[\s\S]*\}", response_text)
                         if json_match:
                             return json_match.group()
                         logger.warning("⚠️  Could not parse JSON from LOCAL response")
diff --git a/src/skill_seekers/cli/architectural_pattern_detector.py b/src/skill_seekers/cli/architectural_pattern_detector.py
index a41af6a..3608204 100644
--- a/src/skill_seekers/cli/architectural_pattern_detector.py
+++ b/src/skill_seekers/cli/architectural_pattern_detector.py
@@ -89,7 +89,13 @@ class ArchitecturalPatternDetector:
     # Framework detection patterns
     FRAMEWORK_MARKERS = {
         # Game Engines (checked first to avoid false positives)
-        "Unity": ["Assembly-CSharp.csproj", "UnityEngine.dll", "ProjectSettings/ProjectVersion.txt", ".unity", "Library/"],
+        "Unity": [
+            "Assembly-CSharp.csproj",
+            "UnityEngine.dll",
+            "ProjectSettings/ProjectVersion.txt",
+            ".unity",
+            "Library/",
+        ],
         "Unreal": ["Source/", ".uproject", "Config/DefaultEngine.ini", "Binaries/", "Content/"],
         "Godot": ["project.godot", ".godot", ".tscn", ".tres", ".gd"],
         # Web Frameworks
diff --git a/src/skill_seekers/cli/code_analyzer.py b/src/skill_seekers/cli/code_analyzer.py
index ec87424..f7d44b9 100644
--- a/src/skill_seekers/cli/code_analyzer.py
+++ b/src/skill_seekers/cli/code_analyzer.py
@@ -1429,7 +1429,6 @@ class CodeAnalyzer:
 
         return comments
 
-
     def _analyze_godot_scene(self, content: str, file_path: str) -> dict[str, Any]:
         """
         Analyze Godot .tscn scene file.
@@ -1445,34 +1444,29 @@ class CodeAnalyzer:
         scripts = []
 
         # Extract external resources
-        for match in re.finditer(r'\[ext_resource.*?type="(.+?)".*?path="(.+?)".*?id="(.+?)"\]', content):
+        for match in re.finditer(
+            r'\[ext_resource.*?type="(.+?)".*?path="(.+?)".*?id="(.+?)"\]', content
+        ):
             res_type, path, res_id = match.groups()
-            resources.append({
-                "type": res_type,
-                "path": path,
-                "id": res_id
-            })
+            resources.append({"type": res_type, "path": path, "id": res_id})
 
             # Track scripts separately
             if res_type == "Script":
-                scripts.append({
-                    "path": path,
-                    "id": res_id
-                })
+                scripts.append({"path": path, "id": res_id})
 
         # Extract nodes
         for match in re.finditer(r'\[node name="(.+?)".*?type="(.+?)".*?\]', content):
             node_name, node_type = match.groups()
 
             # Check if node has a script attached
-            script_match = re.search(rf'\[node name="{re.escape(node_name)}".*?script = ExtResource\("(.+?)"\)', content, re.DOTALL)
+            script_match = re.search(
+                rf'\[node name="{re.escape(node_name)}".*?script = ExtResource\("(.+?)"\)',
+                content,
+                re.DOTALL,
+            )
             attached_script = script_match.group(1) if script_match else None
 
-            nodes.append({
-                "name": node_name,
-                "type": node_type,
-                "script": attached_script
-            })
+            nodes.append({"name": node_name, "type": node_type, "script": attached_script})
 
         return {
             "file": file_path,
@@ -1482,8 +1476,8 @@ class CodeAnalyzer:
             "scene_metadata": {
                 "node_count": len(nodes),
                 "script_count": len(scripts),
-                "resource_count": len(resources)
-            }
+                "resource_count": len(resources),
+            },
         }
 
     def _analyze_godot_resource(self, content: str, file_path: str) -> dict[str, Any]:
@@ -1503,35 +1497,32 @@ class CodeAnalyzer:
         script_path = None
 
         # Extract resource header
-        header_match = re.search(r'\[gd_resource type="(.+?)"(?:\s+script_class="(.+?)")?\s+', content)
+        header_match = re.search(
+            r'\[gd_resource type="(.+?)"(?:\s+script_class="(.+?)")?\s+', content
+        )
         if header_match:
             resource_type = header_match.group(1)
             script_class = header_match.group(2)
 
         # Extract external resources
-        for match in re.finditer(r'\[ext_resource.*?type="(.+?)".*?path="(.+?)".*?id="(.+?)"\]', content):
+        for match in re.finditer(
+            r'\[ext_resource.*?type="(.+?)".*?path="(.+?)".*?id="(.+?)"\]', content
+        ):
             res_type, path, res_id = match.groups()
-            resources.append({
-                "type": res_type,
-                "path": path,
-                "id": res_id
-            })
+            resources.append({"type": res_type, "path": path, "id": res_id})
 
             if res_type == "Script":
                 script_path = path
 
         # Extract properties from [resource] section
-        resource_section = re.search(r'\[resource\](.*?)(?:\n\[|$)', content, re.DOTALL)
+        resource_section = re.search(r"\[resource\](.*?)(?:\n\[|$)", content, re.DOTALL)
         if resource_section:
             prop_text = resource_section.group(1)
 
-            for line in prop_text.strip().split('\n'):
-                if '=' in line:
-                    key, value = line.split('=', 1)
-                    properties.append({
-                        "name": key.strip(),
-                        "value": value.strip()
-                    })
+            for line in prop_text.strip().split("\n"):
+                if "=" in line:
+                    key, value = line.split("=", 1)
+                    properties.append({"name": key.strip(), "value": value.strip()})
 
         return {
             "file": file_path,
@@ -1542,8 +1533,8 @@ class CodeAnalyzer:
             "resources": resources,
             "resource_metadata": {
                 "property_count": len(properties),
-                "dependency_count": len(resources)
-            }
+                "dependency_count": len(resources),
+            },
         }
 
     def _analyze_godot_shader(self, content: str, file_path: str) -> dict[str, Any]:
@@ -1562,35 +1553,26 @@ class CodeAnalyzer:
         shader_type = None
 
         # Extract shader type
-        type_match = re.search(r'shader_type\s+(\w+)', content)
+        type_match = re.search(r"shader_type\s+(\w+)", content)
         if type_match:
             shader_type = type_match.group(1)
 
         # Extract uniforms
-        for match in re.finditer(r'uniform\s+(\w+)\s+(\w+)(?:\s*:\s*(.+?))?(?:\s*=\s*(.+?))?;', content):
+        for match in re.finditer(
+            r"uniform\s+(\w+)\s+(\w+)(?:\s*:\s*(.+?))?(?:\s*=\s*(.+?))?;", content
+        ):
             uniform_type, name, hint, default = match.groups()
-            uniforms.append({
-                "name": name,
-                "type": uniform_type,
-                "hint": hint,
-                "default": default
-            })
+            uniforms.append({"name": name, "type": uniform_type, "hint": hint, "default": default})
 
         # Extract varying variables
-        for match in re.finditer(r'varying\s+(\w+)\s+(\w+)', content):
+        for match in re.finditer(r"varying\s+(\w+)\s+(\w+)", content):
             var_type, name = match.groups()
-            varyings.append({
-                "name": name,
-                "type": var_type
-            })
+            varyings.append({"name": name, "type": var_type})
 
         # Extract functions
-        for match in re.finditer(r'void\s+(\w+)\s*\(([^)]*)\)', content):
+        for match in re.finditer(r"void\s+(\w+)\s*\(([^)]*)\)", content):
             func_name, params = match.groups()
-            functions.append({
-                "name": func_name,
-                "parameters": params.strip() if params else ""
-            })
+            functions.append({"name": func_name, "parameters": params.strip() if params else ""})
 
         return {
             "file": file_path,
@@ -1598,10 +1580,7 @@ class CodeAnalyzer:
             "uniforms": uniforms,
             "varyings": varyings,
             "functions": functions,
-            "shader_metadata": {
-                "uniform_count": len(uniforms),
-                "function_count": len(functions)
-            }
+            "shader_metadata": {"uniform_count": len(uniforms), "function_count": len(functions)},
         }
 
     def _analyze_gdscript(self, content: str, file_path: str) -> dict[str, Any]:
@@ -1621,113 +1600,131 @@ class CodeAnalyzer:
         exports = []
 
         # Extract class definition
-        class_match = re.search(r'class_name\s+(\w+)(?:\s+extends\s+(\w+))?', content)
+        class_match = re.search(r"class_name\s+(\w+)(?:\s+extends\s+(\w+))?", content)
         if class_match:
             class_name = class_match.group(1)
             extends = class_match.group(2)
-            classes.append({
-                "name": class_name,
-                "bases": [extends] if extends else [],
-                "methods": [],
-                "line_number": content[: class_match.start()].count("\n") + 1
-            })
+            classes.append(
+                {
+                    "name": class_name,
+                    "bases": [extends] if extends else [],
+                    "methods": [],
+                    "line_number": content[: class_match.start()].count("\n") + 1,
+                }
+            )
 
         # Extract functions
-        for match in re.finditer(r'func\s+(\w+)\s*\(([^)]*)\)(?:\s*->\s*(\w+))?:', content):
+        for match in re.finditer(r"func\s+(\w+)\s*\(([^)]*)\)(?:\s*->\s*(\w+))?:", content):
             func_name, params, return_type = match.groups()
 
             # Parse parameters
             param_list = []
             if params.strip():
-                for param in params.split(','):
+                for param in params.split(","):
                     param = param.strip()
-                    if ':' in param:
+                    if ":" in param:
                         # param_name: Type = default
-                        parts = param.split(':')
+                        parts = param.split(":")
                         name = parts[0].strip()
                         type_and_default = parts[1].strip()
 
-                        param_type = type_and_default.split('=')[0].strip() if '=' in type_and_default else type_and_default
-                        default = type_and_default.split('=')[1].strip() if '=' in type_and_default else None
+                        param_type = (
+                            type_and_default.split("=")[0].strip()
+                            if "=" in type_and_default
+                            else type_and_default
+                        )
+                        default = (
+                            type_and_default.split("=")[1].strip()
+                            if "=" in type_and_default
+                            else None
+                        )
 
-                        param_list.append({
-                            "name": name,
-                            "type_hint": param_type,
-                            "default": default
-                        })
+                        param_list.append(
+                            {"name": name, "type_hint": param_type, "default": default}
+                        )
                     else:
-                        param_list.append({
-                            "name": param,
-                            "type_hint": None,
-                            "default": None
-                        })
+                        param_list.append({"name": param, "type_hint": None, "default": None})
 
-            functions.append({
-                "name": func_name,
-                "parameters": param_list,
-                "return_type": return_type,
-                "line_number": content[: match.start()].count("\n") + 1
-            })
+            functions.append(
+                {
+                    "name": func_name,
+                    "parameters": param_list,
+                    "return_type": return_type,
+                    "line_number": content[: match.start()].count("\n") + 1,
+                }
+            )
 
         # Extract signals with documentation
         signal_connections = []
         signal_emissions = []
 
-        for match in re.finditer(r'signal\s+(\w+)(?:\(([^)]*)\))?', content):
+        for match in re.finditer(r"signal\s+(\w+)(?:\(([^)]*)\))?", content):
             signal_name, params = match.groups()
             line_number = content[: match.start()].count("\n") + 1
 
             # Extract documentation comment above signal (## or #)
             doc_comment = None
-            lines = content[:match.start()].split('\n')
+            lines = content[: match.start()].split("\n")
             if len(lines) >= 2:
                 prev_line = lines[-1].strip()
-                if prev_line.startswith('##') or prev_line.startswith('#'):
-                    doc_comment = prev_line.lstrip('#').strip()
+                if prev_line.startswith("##") or prev_line.startswith("#"):
+                    doc_comment = prev_line.lstrip("#").strip()
 
-            signals.append({
-                "name": signal_name,
-                "parameters": params if params else "",
-                "line_number": line_number,
-                "documentation": doc_comment
-            })
+            signals.append(
+                {
+                    "name": signal_name,
+                    "parameters": params if params else "",
+                    "line_number": line_number,
+                    "documentation": doc_comment,
+                }
+            )
 
         # Extract signal connections (.connect() calls)
-        for match in re.finditer(r'(\w+(?:\.\w+)*)\.connect\(([^)]+)\)', content):
+        for match in re.finditer(r"(\w+(?:\.\w+)*)\.connect\(([^)]+)\)", content):
             signal_path, handler = match.groups()
-            signal_connections.append({
-                "signal": signal_path,
-                "handler": handler.strip(),
-                "line_number": content[: match.start()].count("\n") + 1
-            })
+            signal_connections.append(
+                {
+                    "signal": signal_path,
+                    "handler": handler.strip(),
+                    "line_number": content[: match.start()].count("\n") + 1,
+                }
+            )
 
         # Extract signal emissions (.emit() calls)
-        for match in re.finditer(r'(\w+(?:\.\w+)*)\.emit\(([^)]*)\)', content):
+        for match in re.finditer(r"(\w+(?:\.\w+)*)\.emit\(([^)]*)\)", content):
             signal_path, args = match.groups()
-            signal_emissions.append({
-                "signal": signal_path,
-                "arguments": args.strip() if args else "",
-                "line_number": content[: match.start()].count("\n") + 1
-            })
+            signal_emissions.append(
+                {
+                    "signal": signal_path,
+                    "arguments": args.strip() if args else "",
+                    "line_number": content[: match.start()].count("\n") + 1,
+                }
+            )
 
         # Extract @export variables
-        for match in re.finditer(r'@export(?:\(([^)]+)\))?\s+var\s+(\w+)(?:\s*:\s*(\w+))?(?:\s*=\s*(.+?))?(?:\n|$)', content):
+        for match in re.finditer(
+            r"@export(?:\(([^)]+)\))?\s+var\s+(\w+)(?:\s*:\s*(\w+))?(?:\s*=\s*(.+?))?(?:\n|$)",
+            content,
+        ):
             hint, var_name, var_type, default = match.groups()
-            exports.append({
-                "name": var_name,
-                "type": var_type,
-                "default": default,
-                "export_hint": hint,
-                "line_number": content[: match.start()].count("\n") + 1
-            })
+            exports.append(
+                {
+                    "name": var_name,
+                    "type": var_type,
+                    "default": default,
+                    "export_hint": hint,
+                    "line_number": content[: match.start()].count("\n") + 1,
+                }
+            )
 
         # Detect test framework
         test_framework = None
         test_functions = []
 
         # GUT (Godot Unit Test) - extends "res://addons/gut/test.gd" or extends GutTest
-        if re.search(r'extends\s+["\']?res://addons/gut/test\.gd["\']?', content) or \
-           re.search(r'extends\s+GutTest', content):
+        if re.search(r'extends\s+["\']?res://addons/gut/test\.gd["\']?', content) or re.search(
+            r"extends\s+GutTest", content
+        ):
             test_framework = "GUT"
 
             # Extract test functions (test_* functions)
@@ -1736,23 +1733,23 @@ class CodeAnalyzer:
                     test_functions.append(func)
 
         # gdUnit4 - @suite class annotation
-        elif re.search(r'@suite', content):
+        elif re.search(r"@suite", content):
             test_framework = "gdUnit4"
 
             # Extract test functions (@test annotated or test_* prefix)
             for i, func in enumerate(functions):
                 # Check for @test annotation above function
                 func_line = func["line_number"]
-                lines = content.split('\n')
+                lines = content.split("\n")
                 if func_line > 1:
                     prev_line = lines[func_line - 2].strip()
-                    if prev_line.startswith('@test'):
+                    if prev_line.startswith("@test"):
                         test_functions.append(func)
                     elif func["name"].startswith("test_"):
                         test_functions.append(func)
 
         # WAT (WizAds Test) - less common
-        elif re.search(r'extends\s+WAT\.Test', content):
+        elif re.search(r"extends\s+WAT\.Test", content):
             test_framework = "WAT"
             for func in functions:
                 if func["name"].startswith("test_"):
@@ -1815,4 +1812,3 @@ def create_sprite(texture: str) -> Node2D:
                 ]
             )
             print(f"    {method['name']}({params}) -> {method['return_type']}")
-
diff --git a/src/skill_seekers/cli/codebase_scraper.py b/src/skill_seekers/cli/codebase_scraper.py
index cdd55a4..cfc7f8c 100644
--- a/src/skill_seekers/cli/codebase_scraper.py
+++ b/src/skill_seekers/cli/codebase_scraper.py
@@ -401,11 +401,13 @@ def extract_markdown_structure(content: str) -> dict[str, Any]:
         if header_match:
             level = len(header_match.group(1))
             text = header_match.group(2).strip()
-            structure["headers"].append({
-                "level": level,
-                "text": text,
-                "line": i + 1,
-            })
+            structure["headers"].append(
+                {
+                    "level": level,
+                    "text": text,
+                    "line": i + 1,
+                }
+            )
             # First h1 is the title
             if level == 1 and structure["title"] is None:
                 structure["title"] = text
@@ -416,24 +418,30 @@ def extract_markdown_structure(content: str) -> dict[str, Any]:
         language = match.group(1) or "text"
         code = match.group(2).strip()
         if len(code) > 0:
-            structure["code_blocks"].append({
-                "language": language,
-                "code": code[:500],  # Truncate long code blocks
-                "full_length": len(code),
-            })
+            structure["code_blocks"].append(
+                {
+                    "language": language,
+                    "code": code[:500],  # Truncate long code blocks
+                    "full_length": len(code),
+                }
+            )
 
     # Extract links
     link_pattern = re.compile(r"\[([^\]]+)\]\(([^)]+)\)")
     for match in link_pattern.finditer(content):
-        structure["links"].append({
-            "text": match.group(1),
-            "url": match.group(2),
-        })
+        structure["links"].append(
+            {
+                "text": match.group(1),
+                "url": match.group(2),
+            }
+        )
 
     return structure
 
 
-def generate_markdown_summary(content: str, structure: dict[str, Any], max_length: int = 500) -> str:
+def generate_markdown_summary(
+    content: str, structure: dict[str, Any], max_length: int = 500
+) -> str:
     """
     Generate a summary of markdown content.
 
@@ -546,12 +554,14 @@ def process_markdown_docs(
                 structure = extract_markdown_structure(content)
                 summary = generate_markdown_summary(content, structure)
 
-                doc_data.update({
-                    "title": structure.get("title") or md_path.stem,
-                    "structure": structure,
-                    "summary": summary,
-                    "content": content if depth == "full" else None,
-                })
+                doc_data.update(
+                    {
+                        "title": structure.get("title") or md_path.stem,
+                        "structure": structure,
+                        "summary": summary,
+                        "content": content if depth == "full" else None,
+                    }
+                )
                 processed_docs.append(doc_data)
 
             # Track categories
@@ -587,6 +597,7 @@ def process_markdown_docs(
             # Copy file to category folder
             dest_path = category_dir / doc["filename"]
             import shutil
+
             shutil.copy2(src_path, dest_path)
         except Exception as e:
             logger.debug(f"Failed to copy {doc['path']}: {e}")
@@ -602,7 +613,9 @@ def process_markdown_docs(
     with open(index_json, "w", encoding="utf-8") as f:
         json.dump(index_data, f, indent=2, default=str)
 
-    logger.info(f"✅ Processed {len(processed_docs)} documentation files in {len(categories)} categories")
+    logger.info(
+        f"✅ Processed {len(processed_docs)} documentation files in {len(categories)} categories"
+    )
     logger.info(f"📁 Saved to: {docs_output_dir}")
 
     return index_data
@@ -636,18 +649,22 @@ def _enhance_docs_api(docs: list[dict], api_key: str) -> list[dict]:
     """Enhance docs using Claude API."""
     try:
         import anthropic
+
         client = anthropic.Anthropic(api_key=api_key)
 
         # Batch documents for efficiency
         batch_size = 10
         for i in range(0, len(docs), batch_size):
-            batch = docs[i:i + batch_size]
+            batch = docs[i : i + batch_size]
 
             # Create prompt for batch
-            docs_text = "\n\n".join([
-                f"## {d.get('title', d['filename'])}\nCategory: {d['category']}\nSummary: {d.get('summary', 'N/A')}"
-                for d in batch if d.get("summary")
-            ])
+            docs_text = "\n\n".join(
+                [
+                    f"## {d.get('title', d['filename'])}\nCategory: {d['category']}\nSummary: {d.get('summary', 'N/A')}"
+                    for d in batch
+                    if d.get("summary")
+                ]
+            )
 
             if not docs_text:
                 continue
@@ -666,12 +683,13 @@ Return JSON with format:
             response = client.messages.create(
                 model="claude-sonnet-4-20250514",
                 max_tokens=2000,
-                messages=[{"role": "user", "content": prompt}]
+                messages=[{"role": "user", "content": prompt}],
             )
 
             # Parse response and merge enhancements
             try:
                 import re
+
                 json_match = re.search(r"\{.*\}", response.content[0].text, re.DOTALL)
                 if json_match:
                     enhancements = json.loads(json_match.group())
@@ -700,10 +718,12 @@ def _enhance_docs_local(docs: list[dict]) -> list[dict]:
     if not docs_with_summary:
         return docs
 
-    docs_text = "\n\n".join([
-        f"## {d.get('title', d['filename'])}\nCategory: {d['category']}\nPath: {d['path']}\nSummary: {d.get('summary', 'N/A')}"
-        for d in docs_with_summary[:20]  # Limit to 20 docs
-    ])
+    docs_text = "\n\n".join(
+        [
+            f"## {d.get('title', d['filename'])}\nCategory: {d['category']}\nPath: {d['path']}\nSummary: {d.get('summary', 'N/A')}"
+            for d in docs_with_summary[:20]  # Limit to 20 docs
+        ]
+    )
 
     prompt = f"""Analyze these documentation files from a codebase and provide insights.
 
@@ -734,6 +754,7 @@ Output JSON only:
 
         if result.returncode == 0 and result.stdout:
             import re
+
             json_match = re.search(r"\{.*\}", result.stdout, re.DOTALL)
             if json_match:
                 enhancements = json.loads(json_match.group())
@@ -801,7 +822,9 @@ def analyze_codebase(
 
     if enhance_level > 0:
         level_names = {1: "SKILL.md only", 2: "SKILL.md+Architecture+Config", 3: "full"}
-        logger.info(f"🤖 AI Enhancement Level: {enhance_level} ({level_names.get(enhance_level, 'unknown')})")
+        logger.info(
+            f"🤖 AI Enhancement Level: {enhance_level} ({level_names.get(enhance_level, 'unknown')})"
+        )
     # Resolve directory to absolute path to avoid relative_to() errors
     directory = Path(directory).resolve()
 
@@ -1411,7 +1434,9 @@ Use this skill when you need to:
         skill_content += "- **Architecture**: `references/architecture/` - Architectural patterns\n"
         refs_added = True
     if extract_docs and (output_dir / "documentation").exists():
-        skill_content += "- **Documentation**: `references/documentation/` - Project documentation\n"
+        skill_content += (
+            "- **Documentation**: `references/documentation/` - Project documentation\n"
+        )
         refs_added = True
 
     if not refs_added:
@@ -1691,10 +1716,7 @@ def _format_signal_flow_section(output_dir: Path, results: dict[str, Any]) -> st
         content += "\n"
 
     # Test framework detection
-    test_files = [
-        f for f in results.get("files", [])
-        if f.get("test_framework")
-    ]
+    test_files = [f for f in results.get("files", []) if f.get("test_framework")]
 
     if test_files:
         frameworks = {}
@@ -1732,7 +1754,15 @@ def _format_documentation_section(_output_dir: Path, docs_data: dict[str, Any])
     content += f"**Categories:** {len(categories)}\n\n"
 
     # List documents by category (most important first)
-    priority_order = ["overview", "architecture", "guides", "workflows", "features", "api", "examples"]
+    priority_order = [
+        "overview",
+        "architecture",
+        "guides",
+        "workflows",
+        "features",
+        "api",
+        "examples",
+    ]
 
     # Sort categories by priority
     sorted_categories = []
@@ -1779,6 +1809,7 @@ def _format_documentation_section(_output_dir: Path, docs_data: dict[str, Any])
     if all_topics:
         # Deduplicate and count
         from collections import Counter
+
         topic_counts = Counter(all_topics)
         top_topics = [t for t, _ in topic_counts.most_common(10)]
         content += f"**Key Topics:** {', '.join(top_topics)}\n\n"
diff --git a/src/skill_seekers/cli/config_enhancer.py b/src/skill_seekers/cli/config_enhancer.py
index 59d9d84..67b32b7 100644
--- a/src/skill_seekers/cli/config_enhancer.py
+++ b/src/skill_seekers/cli/config_enhancer.py
@@ -167,9 +167,7 @@ class ConfigEnhancer:
             for setting in cf.get("settings", [])[:5]:  # First 5 settings per file
                 # Support both "type" (from config_extractor) and "value_type" (legacy)
                 value_type = setting.get("type", setting.get("value_type", "unknown"))
-                settings_summary.append(
-                    f"  - {setting['key']}: {setting['value']} ({value_type})"
-                )
+                settings_summary.append(f"  - {setting['key']}: {setting['value']} ({value_type})")
 
             # Support both "type" (from config_extractor) and "config_type" (legacy)
             config_type = cf.get("type", cf.get("config_type", "unknown"))
@@ -306,7 +304,9 @@ Focus on actionable insights that help developers understand and improve their c
             config_type = cf.get("type", cf.get("config_type", "unknown"))
             settings_preview = []
             for s in cf.get("settings", [])[:3]:  # Show first 3 settings
-                settings_preview.append(f"    - {s.get('key', 'unknown')}: {str(s.get('value', ''))[:50]}")
+                settings_preview.append(
+                    f"    - {s.get('key', 'unknown')}: {str(s.get('value', ''))[:50]}"
+                )
 
             config_data.append(f"""
 ### {cf["relative_path"]} ({config_type})
@@ -431,9 +431,7 @@ DO NOT explain your work - just write the JSON file directly.
                     potential_files.append(json_file)
 
             # Try to load the most recent JSON file with expected structure
-            for json_file in sorted(
-                potential_files, key=lambda f: f.stat().st_mtime, reverse=True
-            ):
+            for json_file in sorted(potential_files, key=lambda f: f.stat().st_mtime, reverse=True):
                 try:
                     with open(json_file) as f:
                         data = json.load(f)
diff --git a/src/skill_seekers/cli/config_extractor.py b/src/skill_seekers/cli/config_extractor.py
index 02163a2..a43f8fd 100644
--- a/src/skill_seekers/cli/config_extractor.py
+++ b/src/skill_seekers/cli/config_extractor.py
@@ -429,7 +429,9 @@ class ConfigParser:
                 # JSON array at root - extract from each dict item
                 for idx, item in enumerate(data):
                     if isinstance(item, dict):
-                        self._extract_settings_from_dict(item, config_file, parent_path=[f"[{idx}]"])
+                        self._extract_settings_from_dict(
+                            item, config_file, parent_path=[f"[{idx}]"]
+                        )
             else:
                 # Primitive value at root (string, number, etc.) - skip
                 logger.debug(f"Skipping JSON with primitive root: {config_file.relative_path}")
@@ -452,7 +454,9 @@ class ConfigParser:
                 # YAML array at root - extract from each dict item
                 for idx, item in enumerate(data):
                     if isinstance(item, dict):
-                        self._extract_settings_from_dict(item, config_file, parent_path=[f"[{idx}]"])
+                        self._extract_settings_from_dict(
+                            item, config_file, parent_path=[f"[{idx}]"]
+                        )
         except yaml.YAMLError as e:
             config_file.parse_errors.append(f"YAML parse error: {str(e)}")
 
diff --git a/src/skill_seekers/cli/dependency_analyzer.py b/src/skill_seekers/cli/dependency_analyzer.py
index 1960075..055eab5 100644
--- a/src/skill_seekers/cli/dependency_analyzer.py
+++ b/src/skill_seekers/cli/dependency_analyzer.py
@@ -272,7 +272,7 @@ class DependencyAnalyzer:
 
         # Extract extends with class name: extends MyBaseClass
         # Note: This creates a symbolic dependency that may not resolve to a file
-        extends_class_pattern = r'extends\s+([A-Z]\w+)'
+        extends_class_pattern = r"extends\s+([A-Z]\w+)"
         for match in re.finditer(extends_class_pattern, content):
             class_name = match.group(1)
             line_num = content[: match.start()].count("\n") + 1
diff --git a/src/skill_seekers/cli/main.py b/src/skill_seekers/cli/main.py
index 341c537..80cf8e9 100644
--- a/src/skill_seekers/cli/main.py
+++ b/src/skill_seekers/cli/main.py
@@ -300,14 +300,16 @@ For more information: https://github.com/yusufkaraaslan/Skill_Seekers
     )
     analyze_parser.add_argument("--file-patterns", help="Comma-separated file patterns")
     analyze_parser.add_argument(
-        "--enhance", action="store_true", help="Enable AI enhancement (default level 1 = SKILL.md only)"
+        "--enhance",
+        action="store_true",
+        help="Enable AI enhancement (default level 1 = SKILL.md only)",
     )
     analyze_parser.add_argument(
         "--enhance-level",
         type=int,
         choices=[0, 1, 2, 3],
         default=None,
-        help="AI enhancement level: 0=off, 1=SKILL.md only (default), 2=+Architecture+Config, 3=full"
+        help="AI enhancement level: 0=off, 1=SKILL.md only (default), 2=+Architecture+Config, 3=full",
     )
     analyze_parser.add_argument("--skip-api-reference", action="store_true", help="Skip API docs")
     analyze_parser.add_argument(
@@ -321,7 +323,9 @@ For more information: https://github.com/yusufkaraaslan/Skill_Seekers
     )
     analyze_parser.add_argument("--skip-how-to-guides", action="store_true", help="Skip guides")
     analyze_parser.add_argument("--skip-config-patterns", action="store_true", help="Skip config")
-    analyze_parser.add_argument("--skip-docs", action="store_true", help="Skip project docs (README, docs/)")
+    analyze_parser.add_argument(
+        "--skip-docs", action="store_true", help="Skip project docs (README, docs/)"
+    )
     analyze_parser.add_argument("--no-comments", action="store_true", help="Skip comments")
     analyze_parser.add_argument("--verbose", action="store_true", help="Verbose logging")
 
@@ -565,13 +569,16 @@ def main(argv: list[str] | None = None) -> int:
             # Handle preset flags (depth and features)
             if args.quick:
                 # Quick = surface depth + skip advanced features + no AI
-                sys.argv.extend([
-                    "--depth", "surface",
-                    "--skip-patterns",
-                    "--skip-test-examples",
-                    "--skip-how-to-guides",
-                    "--skip-config-patterns",
-                ])
+                sys.argv.extend(
+                    [
+                        "--depth",
+                        "surface",
+                        "--skip-patterns",
+                        "--skip-test-examples",
+                        "--skip-how-to-guides",
+                        "--skip-config-patterns",
+                    ]
+                )
             elif args.comprehensive:
                 # Comprehensive = full depth + all features (AI level is separate)
                 sys.argv.extend(["--depth", "full"])
@@ -588,6 +595,7 @@ def main(argv: list[str] | None = None) -> int:
                 # Use default from config (default: 1)
                 try:
                     from skill_seekers.cli.config_manager import get_config_manager
+
                     config = get_config_manager()
                     enhance_level = config.get_default_enhance_level()
                 except Exception:
diff --git a/src/skill_seekers/cli/signal_flow_analyzer.py b/src/skill_seekers/cli/signal_flow_analyzer.py
index 5cff9e1..f1395eb 100644
--- a/src/skill_seekers/cli/signal_flow_analyzer.py
+++ b/src/skill_seekers/cli/signal_flow_analyzer.py
@@ -144,9 +144,7 @@ class SignalFlowAnalyzer:
 
         # Observer pattern - signals with multiple connections
         multi_connected = {
-            sig: len(conns)
-            for sig, conns in self.signal_connections.items()
-            if len(conns) >= 3
+            sig: len(conns) for sig, conns in self.signal_connections.items() if len(conns) >= 3
         }
 
         if multi_connected:
@@ -170,9 +168,7 @@ class SignalFlowAnalyzer:
     def _calculate_statistics(self) -> dict[str, Any]:
         """Calculate signal usage statistics."""
         total_signals = len(self.signal_declarations)
-        total_connections = sum(
-            len(conns) for conns in self.signal_connections.values()
-        )
+        total_connections = sum(len(conns) for conns in self.signal_connections.values())
         total_emissions = sum(len(emits) for emits in self.signal_emissions.items())
 
         # Find most connected signals
@@ -181,17 +177,13 @@ class SignalFlowAnalyzer:
         )[:5]
 
         # Find most emitted signals
-        most_emitted = sorted(
-            self.signal_emissions.items(), key=lambda x: len(x[1]), reverse=True
-        )[:5]
+        most_emitted = sorted(self.signal_emissions.items(), key=lambda x: len(x[1]), reverse=True)[
+            :5
+        ]
 
         # Signal density (signals per GDScript file)
-        gdscript_files = sum(
-            1 for f in self.files if f.get("language") == "GDScript"
-        )
-        signal_density = (
-            total_signals / gdscript_files if gdscript_files > 0 else 0
-        )
+        gdscript_files = sum(1 for f in self.files if f.get("language") == "GDScript")
+        signal_density = total_signals / gdscript_files if gdscript_files > 0 else 0
 
         return {
             "total_signals": total_signals,
@@ -200,12 +192,10 @@ class SignalFlowAnalyzer:
             "signal_density": round(signal_density, 2),
             "gdscript_files": gdscript_files,
             "most_connected_signals": [
-                {"signal": sig, "connection_count": len(conns)}
-                for sig, conns in most_connected
+                {"signal": sig, "connection_count": len(conns)} for sig, conns in most_connected
             ],
             "most_emitted_signals": [
-                {"signal": sig, "emission_count": len(emits)}
-                for sig, emits in most_emitted
+                {"signal": sig, "emission_count": len(emits)} for sig, emits in most_emitted
             ],
         }
 
@@ -272,9 +262,7 @@ class SignalFlowAnalyzer:
 
         return patterns[:10]  # Top 10 most used signals
 
-    def generate_how_to_guides(
-        self, output_dir: Path, ai_mode: str = "LOCAL"
-    ) -> str:
+    def generate_how_to_guides(self, output_dir: Path, ai_mode: str = "LOCAL") -> str:
         """
         Generate signal-based how-to guides using AI.
 
@@ -297,7 +285,9 @@ class SignalFlowAnalyzer:
 
         for i, pattern in enumerate(patterns, 1):
             signal_name = pattern["signal_name"]
-            guide_content += f"{i}. [How to use `{signal_name}`](#{signal_name.lower().replace('_', '-')})\n"
+            guide_content += (
+                f"{i}. [How to use `{signal_name}`](#{signal_name.lower().replace('_', '-')})\n"
+            )
 
         guide_content += "\n---\n\n"
 
@@ -313,9 +303,7 @@ class SignalFlowAnalyzer:
 
         return str(guide_file)
 
-    def _generate_signal_guide(
-        self, pattern: dict[str, Any], ai_mode: str
-    ) -> str:
+    def _generate_signal_guide(self, pattern: dict[str, Any], ai_mode: str) -> str:
         """
         Generate a how-to guide for a single signal using AI.
 
@@ -434,10 +422,12 @@ class SignalFlowAnalyzer:
             guide_file = self.generate_how_to_guides(output_dir, ai_mode)
             if guide_file:
                 import logging
+
                 logger = logging.getLogger(__name__)
                 logger.info(f"📚 Generated signal how-to guides: {guide_file}")
         except Exception as e:
             import logging
+
             logger = logging.getLogger(__name__)
             logger.warning(f"Failed to generate signal how-to guides: {e}")
 
@@ -453,9 +443,7 @@ class SignalFlowAnalyzer:
         lines.append(f"- **Total Signals**: {stats['total_signals']}")
         lines.append(f"- **Total Connections**: {stats['total_connections']}")
         lines.append(f"- **Total Emissions**: {stats['total_emissions']}")
-        lines.append(
-            f"- **Signal Density**: {stats['signal_density']} signals per file\n"
-        )
+        lines.append(f"- **Signal Density**: {stats['signal_density']} signals per file\n")
 
         # Patterns
         if analysis["patterns"]:
@@ -480,9 +468,7 @@ class SignalFlowAnalyzer:
         if stats["most_connected_signals"]:
             lines.append("## Most Connected Signals\n")
             for item in stats["most_connected_signals"]:
-                lines.append(
-                    f"- **{item['signal']}**: {item['connection_count']} connections"
-                )
+                lines.append(f"- **{item['signal']}**: {item['connection_count']} connections")
             lines.append("")
 
         with open(output_dir / "signal_reference.md", "w") as f:
diff --git a/src/skill_seekers/cli/test_example_extractor.py b/src/skill_seekers/cli/test_example_extractor.py
index c2c8ca4..b42740e 100644
--- a/src/skill_seekers/cli/test_example_extractor.py
+++ b/src/skill_seekers/cli/test_example_extractor.py
@@ -816,7 +816,11 @@ class GenericTestAnalyzer:
                 # Find next method (setup or test)
                 next_pattern = patterns.get("setup", patterns["test_function"])
                 next_setup = re.search(next_pattern, code[setup_start:])
-                setup_end = setup_start + next_setup.start() if next_setup else min(setup_start + 500, len(code))
+                setup_end = (
+                    setup_start + next_setup.start()
+                    if next_setup
+                    else min(setup_start + 500, len(code))
+                )
                 setup_body = code[setup_start:setup_end]
 
                 example = self._create_example(
diff --git a/tests/test_analyze_command.py b/tests/test_analyze_command.py
index 2463ae9..913a81b 100644
--- a/tests/test_analyze_command.py
+++ b/tests/test_analyze_command.py
@@ -63,17 +63,20 @@ class TestAnalyzeSubcommand(unittest.TestCase):
 
     def test_all_skip_flags(self):
         """Test all skip flags are properly parsed."""
-        args = self.parser.parse_args([
-            "analyze",
-            "--directory", ".",
-            "--skip-api-reference",
-            "--skip-dependency-graph",
-            "--skip-patterns",
-            "--skip-test-examples",
-            "--skip-how-to-guides",
-            "--skip-config-patterns",
-            "--skip-docs"
-        ])
+        args = self.parser.parse_args(
+            [
+                "analyze",
+                "--directory",
+                ".",
+                "--skip-api-reference",
+                "--skip-dependency-graph",
+                "--skip-patterns",
+                "--skip-test-examples",
+                "--skip-how-to-guides",
+                "--skip-config-patterns",
+                "--skip-docs",
+            ]
+        )
         self.assertTrue(args.skip_api_reference)
         self.assertTrue(args.skip_dependency_graph)
         self.assertTrue(args.skip_patterns)
diff --git a/uv.lock b/uv.lock
index 3cd5525..d7128f9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1846,7 +1846,7 @@ wheels = [
 
 [[package]]
 name = "skill-seekers"
-version = "2.7.4"
+version = "2.9.0"
 source = { editable = "." }
 dependencies = [
     { name = "anthropic" },