refactor: PEP8 compliance - directory rename and code formatting (#425)

* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration

Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.

Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes

Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)

This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.

* feat: Add PM Agent (Project Manager Agent) for seamless orchestration

Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.

Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired

Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)

User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)

Implementation Status:
-  Specification complete
-  Documentation complete
-  Prototype implementation needed
-  Docker Gateway integration needed
-  Testing and validation needed

Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)

* feat: Add Agent Orchestration rules for PM Agent default activation

Implements PM Agent as the default orchestration layer in RULES.md.

Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
  1. Manual override → Direct routing
  2. Default → PM Agent → Auto-delegation
  3. Delegation based on keywords, file types, complexity, context

User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions

This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.

Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed

* refactor(pm-agent): redesign as self-improvement meta-layer

Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.

Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis

Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)

Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
  - Category: orchestration → meta
  - Triggers: All user interactions → Post-implementation, mistakes, monthly
  - Behavioral Mindset: Continuous learning system
  - Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE

- SuperClaude/Core/RULES.md: Agent Orchestration section updated
  - Split into Task Execution Layer + Self-Improvement Layer
  - Added orchestration flow diagram
  - Clarified PM Agent activates AFTER task completion

- README.md: Updated PM Agent description
  - "orchestrates all interactions" → "ensures continuous learning"

- Docs/User-Guide/agents.md: PM Agent section rewritten
  - Section: Orchestration Agent → Meta-Layer Agent
  - Expertise: Project orchestration → Self-improvement workflow executor
  - Examples: Task coordination → Post-implementation documentation

- PR_DOCUMENTATION.md: Comprehensive PR documentation added
  - Summary, motivation, changes, testing, breaking changes
  - Two-layer orchestration system diagram
  - Verification checklist

Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
 PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
 Complements (not competes with) existing workflow
 agiletec workflow defines WHAT, PM Agent defines WHO executes it

Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance

Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* docs: add Claude Code conversation history management research

Research covering .jsonl file structure, performance impact, and retention policies.

Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics

Source: Moved from agiletec project (research applicable to all Claude Code projects)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: add Development documentation structure

Phase 1: Documentation Structure complete

- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode

This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility

Related: #pm-agent-mode #documentation #phase-1

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: PM Agent session lifecycle and PDCA implementation

Phase 2: PM Agent Mode Integration (Design Phase)

Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers

Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference

Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md

Implementation Status:
-  Design complete (Commands/pm.md, Agents/pm-agent.md)
-  Implementation pending (Core components)
-  Serena MCP integration pending

Salvaged from mistaken development in ~/.claude directory

Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: disable Serena MCP auto-browser launch

Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.

Changes:
- Add CLI flags to Serena run command:
  - --enable-web-dashboard false
  - --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: rename directories to lowercase for PEP8 compliance

- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes

This change follows Python PEP8 naming conventions for package directories.

* style: fix PEP8 violations and update package name to lowercase

Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory

PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).

* docs: add PM Agent development documentation

Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)

Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat(pm-agent): add self-correcting execution and warning investigation culture

## Changes

### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)

### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement

## Rationale

PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat(installer): add airis-mcp-gateway MCP server option

## Changes

- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading

## Implementation

Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
kazuki nakai
2025-10-14 12:17:09 +09:00
committed by GitHub
parent 302c5851b1
commit 050d5ea2ab
194 changed files with 9698 additions and 3693 deletions

View File

@@ -14,11 +14,11 @@ import copy
class SettingsService:
"""Manages settings.json file operations"""
def __init__(self, install_dir: Path):
"""
Initialize settings manager
Args:
install_dir: Installation directory containing settings.json
"""
@@ -26,27 +26,29 @@ class SettingsService:
self.settings_file = install_dir / "settings.json"
self.metadata_file = install_dir / ".superclaude-metadata.json"
self.backup_dir = install_dir / "backups" / "settings"
def load_settings(self) -> Dict[str, Any]:
"""
Load settings from settings.json
Returns:
Settings dict (empty if file doesn't exist)
"""
if not self.settings_file.exists():
return {}
try:
with open(self.settings_file, 'r', encoding='utf-8') as f:
with open(self.settings_file, "r", encoding="utf-8") as f:
return json.load(f)
except (json.JSONDecodeError, IOError) as e:
raise ValueError(f"Could not load settings from {self.settings_file}: {e}")
def save_settings(self, settings: Dict[str, Any], create_backup: bool = True) -> None:
def save_settings(
self, settings: Dict[str, Any], create_backup: bool = True
) -> None:
"""
Save settings to settings.json with optional backup
Args:
settings: Settings dict to save
create_backup: Whether to create backup before saving
@@ -54,46 +56,46 @@ class SettingsService:
# Create backup if requested and file exists
if create_backup and self.settings_file.exists():
self._create_settings_backup()
# Ensure directory exists
self.settings_file.parent.mkdir(parents=True, exist_ok=True)
# Save with pretty formatting
try:
with open(self.settings_file, 'w', encoding='utf-8') as f:
with open(self.settings_file, "w", encoding="utf-8") as f:
json.dump(settings, f, indent=2, ensure_ascii=False, sort_keys=True)
except IOError as e:
raise ValueError(f"Could not save settings to {self.settings_file}: {e}")
def load_metadata(self) -> Dict[str, Any]:
"""
Load SuperClaude metadata from .superclaude-metadata.json
Returns:
Metadata dict (empty if file doesn't exist)
"""
if not self.metadata_file.exists():
return {}
try:
with open(self.metadata_file, 'r', encoding='utf-8') as f:
with open(self.metadata_file, "r", encoding="utf-8") as f:
return json.load(f)
except (json.JSONDecodeError, IOError) as e:
raise ValueError(f"Could not load metadata from {self.metadata_file}: {e}")
def save_metadata(self, metadata: Dict[str, Any]) -> None:
"""
Save SuperClaude metadata to .superclaude-metadata.json
Args:
metadata: Metadata dict to save
"""
# Ensure directory exists
self.metadata_file.parent.mkdir(parents=True, exist_ok=True)
# Save with pretty formatting
try:
with open(self.metadata_file, 'w', encoding='utf-8') as f:
with open(self.metadata_file, "w", encoding="utf-8") as f:
json.dump(metadata, f, indent=2, ensure_ascii=False, sort_keys=True)
except IOError as e:
raise ValueError(f"Could not save metadata to {self.metadata_file}: {e}")
@@ -125,128 +127,134 @@ class SettingsService:
def migrate_superclaude_data(self) -> bool:
"""
Migrate SuperClaude-specific data from settings.json to metadata file
Returns:
True if migration occurred, False if no data to migrate
"""
settings = self.load_settings()
# SuperClaude-specific fields to migrate
superclaude_fields = ["components", "framework", "superclaude", "mcp"]
data_to_migrate = {}
fields_found = False
# Extract SuperClaude data
for field in superclaude_fields:
if field in settings:
data_to_migrate[field] = settings[field]
fields_found = True
if not fields_found:
return False
# Load existing metadata (if any) and merge
existing_metadata = self.load_metadata()
merged_metadata = self._deep_merge(existing_metadata, data_to_migrate)
# Save to metadata file
self.save_metadata(merged_metadata)
# Remove SuperClaude fields from settings
clean_settings = {k: v for k, v in settings.items() if k not in superclaude_fields}
clean_settings = {
k: v for k, v in settings.items() if k not in superclaude_fields
}
# Save cleaned settings
self.save_settings(clean_settings, create_backup=True)
return True
def merge_settings(self, modifications: Dict[str, Any]) -> Dict[str, Any]:
"""
Deep merge modifications into existing settings
Args:
modifications: Settings modifications to merge
Returns:
Merged settings dict
"""
existing = self.load_settings()
return self._deep_merge(existing, modifications)
def update_settings(self, modifications: Dict[str, Any], create_backup: bool = True) -> None:
def update_settings(
self, modifications: Dict[str, Any], create_backup: bool = True
) -> None:
"""
Update settings with modifications
Args:
modifications: Settings modifications to apply
create_backup: Whether to create backup before updating
"""
merged = self.merge_settings(modifications)
self.save_settings(merged, create_backup)
def get_setting(self, key_path: str, default: Any = None) -> Any:
"""
Get setting value using dot-notation path
Args:
key_path: Dot-separated path (e.g., "hooks.enabled")
default: Default value if key not found
Returns:
Setting value or default
"""
settings = self.load_settings()
try:
value = settings
for key in key_path.split('.'):
for key in key_path.split("."):
value = value[key]
return value
except (KeyError, TypeError):
return default
def set_setting(self, key_path: str, value: Any, create_backup: bool = True) -> None:
def set_setting(
self, key_path: str, value: Any, create_backup: bool = True
) -> None:
"""
Set setting value using dot-notation path
Args:
key_path: Dot-separated path (e.g., "hooks.enabled")
value: Value to set
create_backup: Whether to create backup before updating
"""
# Build nested dict structure
keys = key_path.split('.')
keys = key_path.split(".")
modification = {}
current = modification
for key in keys[:-1]:
current[key] = {}
current = current[key]
current[keys[-1]] = value
self.update_settings(modification, create_backup)
def remove_setting(self, key_path: str, create_backup: bool = True) -> bool:
"""
Remove setting using dot-notation path
Args:
key_path: Dot-separated path to remove
create_backup: Whether to create backup before updating
Returns:
True if setting was removed, False if not found
"""
settings = self.load_settings()
keys = key_path.split('.')
keys = key_path.split(".")
# Navigate to parent of target key
current = settings
try:
for key in keys[:-1]:
current = current[key]
# Remove the target key
if keys[-1] in current:
del current[keys[-1]]
@@ -254,14 +262,16 @@ class SettingsService:
return True
else:
return False
except (KeyError, TypeError):
return False
def add_component_registration(self, component_name: str, component_info: Dict[str, Any]) -> None:
def add_component_registration(
self, component_name: str, component_info: Dict[str, Any]
) -> None:
"""
Add component to registry in metadata
Args:
component_name: Name of component
component_info: Component metadata dict
@@ -269,21 +279,21 @@ class SettingsService:
metadata = self.load_metadata()
if "components" not in metadata:
metadata["components"] = {}
metadata["components"][component_name] = {
**component_info,
"installed_at": datetime.now().isoformat()
"installed_at": datetime.now().isoformat(),
}
self.save_metadata(metadata)
def remove_component_registration(self, component_name: str) -> bool:
"""
Remove component from registry in metadata
Args:
component_name: Name of component to remove
Returns:
True if component was removed, False if not found
"""
@@ -293,64 +303,64 @@ class SettingsService:
self.save_metadata(metadata)
return True
return False
def get_installed_components(self) -> Dict[str, Dict[str, Any]]:
"""
Get all installed components from registry
Returns:
Dict of component_name -> component_info
"""
metadata = self.load_metadata()
return metadata.get("components", {})
def is_component_installed(self, component_name: str) -> bool:
"""
Check if component is registered as installed
Args:
component_name: Name of component to check
Returns:
True if component is installed, False otherwise
"""
components = self.get_installed_components()
return component_name in components
def get_component_version(self, component_name: str) -> Optional[str]:
"""
Get installed version of component
Args:
component_name: Name of component
Returns:
Version string or None if not installed
"""
components = self.get_installed_components()
component_info = components.get(component_name, {})
return component_info.get("version")
def update_framework_version(self, version: str) -> None:
"""
Update SuperClaude framework version in metadata
Args:
version: Framework version string
"""
metadata = self.load_metadata()
if "framework" not in metadata:
metadata["framework"] = {}
metadata["framework"]["version"] = version
metadata["framework"]["updated_at"] = datetime.now().isoformat()
self.save_metadata(metadata)
def check_installation_exists(self) -> bool:
"""
Get SuperClaude framework version from metadata
Returns:
Version string or None if not set
"""
@@ -364,152 +374,160 @@ class SettingsService:
Version string or None if not set
"""
return self.settings_file.exists()
def get_metadata_setting(self, key_path: str, default: Any = None) -> Any:
"""
Get metadata value using dot-notation path
Args:
key_path: Dot-separated path (e.g., "framework.version")
default: Default value if key not found
Returns:
Metadata value or default
"""
metadata = self.load_metadata()
try:
value = metadata
for key in key_path.split('.'):
for key in key_path.split("."):
value = value[key]
return value
except (KeyError, TypeError):
return default
def _deep_merge(self, base: Dict[str, Any], overlay: Dict[str, Any]) -> Dict[str, Any]:
def _deep_merge(
self, base: Dict[str, Any], overlay: Dict[str, Any]
) -> Dict[str, Any]:
"""
Deep merge two dictionaries
Args:
base: Base dictionary
overlay: Dictionary to merge on top
Returns:
Merged dictionary
"""
result = copy.deepcopy(base)
for key, value in overlay.items():
if key in result and isinstance(result[key], dict) and isinstance(value, dict):
if (
key in result
and isinstance(result[key], dict)
and isinstance(value, dict)
):
result[key] = self._deep_merge(result[key], value)
else:
result[key] = copy.deepcopy(value)
return result
def _create_settings_backup(self) -> Path:
"""
Create timestamped backup of settings.json
Returns:
Path to backup file
"""
if not self.settings_file.exists():
raise ValueError("Cannot backup non-existent settings file")
# Create backup directory
self.backup_dir.mkdir(parents=True, exist_ok=True)
# Create timestamped backup
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
backup_file = self.backup_dir / f"settings_{timestamp}.json"
shutil.copy2(self.settings_file, backup_file)
# Keep only last 10 backups
self._cleanup_old_backups()
return backup_file
def _cleanup_old_backups(self, keep_count: int = 10) -> None:
"""
Remove old backup files, keeping only the most recent
Args:
keep_count: Number of backups to keep
"""
if not self.backup_dir.exists():
return
# Get all backup files sorted by modification time
backup_files = []
for file in self.backup_dir.glob("settings_*.json"):
backup_files.append((file.stat().st_mtime, file))
backup_files.sort(reverse=True) # Most recent first
# Remove old backups
for _, file in backup_files[keep_count:]:
try:
file.unlink()
except OSError:
pass # Ignore errors when cleaning up
def list_backups(self) -> List[Dict[str, Any]]:
"""
List available settings backups
Returns:
List of backup info dicts with name, path, and timestamp
"""
if not self.backup_dir.exists():
return []
backups = []
for file in self.backup_dir.glob("settings_*.json"):
try:
stat = file.stat()
backups.append({
"name": file.name,
"path": str(file),
"size": stat.st_size,
"created": datetime.fromtimestamp(stat.st_ctime).isoformat(),
"modified": datetime.fromtimestamp(stat.st_mtime).isoformat()
})
backups.append(
{
"name": file.name,
"path": str(file),
"size": stat.st_size,
"created": datetime.fromtimestamp(stat.st_ctime).isoformat(),
"modified": datetime.fromtimestamp(stat.st_mtime).isoformat(),
}
)
except OSError:
continue
# Sort by creation time, most recent first
backups.sort(key=lambda x: x["created"], reverse=True)
return backups
def restore_backup(self, backup_name: str) -> bool:
"""
Restore settings from backup
Args:
backup_name: Name of backup file to restore
Returns:
True if successful, False otherwise
"""
backup_file = self.backup_dir / backup_name
if not backup_file.exists():
return False
try:
# Validate backup file first
with open(backup_file, 'r', encoding='utf-8') as f:
with open(backup_file, "r", encoding="utf-8") as f:
json.load(f) # Will raise exception if invalid
# Create backup of current settings
if self.settings_file.exists():
self._create_settings_backup()
# Restore backup
shutil.copy2(backup_file, self.settings_file)
return True
except (json.JSONDecodeError, IOError):
return False