mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-21 19:56:45 +00:00
* 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>
261 lines
9.5 KiB
Python
261 lines
9.5 KiB
Python
"""
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Agents component for SuperClaude specialized AI agents installation
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"""
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from typing import Dict, List, Tuple, Optional, Any
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from pathlib import Path
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from ..core.base import Component
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from setup import __version__
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class AgentsComponent(Component):
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"""SuperClaude specialized AI agents component"""
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def __init__(self, install_dir: Optional[Path] = None):
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"""Initialize agents component"""
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super().__init__(install_dir, Path("agents"))
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def get_metadata(self) -> Dict[str, str]:
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"""Get component metadata"""
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return {
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"name": "agents",
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"version": __version__,
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"description": "15 specialized AI agents with domain expertise and intelligent routing",
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"category": "agents",
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}
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def get_metadata_modifications(self) -> Dict[str, Any]:
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"""Get metadata modifications for agents"""
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return {
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"components": {
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"agents": {
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"version": __version__,
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"installed": True,
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"agents_count": len(self.component_files),
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"install_directory": str(self.install_component_subdir),
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}
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}
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}
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def _install(self, config: Dict[str, Any]) -> bool:
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"""Install agents component"""
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self.logger.info("Installing SuperClaude specialized agents...")
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# Call parent install method
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success = super()._install(config)
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if success:
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# Run post-install setup
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success = self._post_install()
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if success:
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self.logger.success(
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f"Successfully installed {len(self.component_files)} specialized agents"
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)
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return success
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def _post_install(self) -> bool:
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"""Post-install setup for agents"""
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try:
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# Update metadata with agents registration
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metadata_mods = self.get_metadata_modifications()
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self.settings_manager.update_metadata(metadata_mods)
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self.logger.info("Updated metadata with agents configuration")
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# Add component registration
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self.settings_manager.add_component_registration(
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"agents",
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{
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"version": __version__,
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"category": "agents",
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"agents_count": len(self.component_files),
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"agents_list": self.component_files,
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},
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)
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self.logger.info("Registered agents component in metadata")
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return True
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except Exception as e:
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self.logger.error(f"Failed to complete agents post-install: {e}")
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return False
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def uninstall(self) -> bool:
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"""Uninstall agents component"""
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try:
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self.logger.info("Uninstalling SuperClaude agents component...")
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# Remove agent files
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removed_count = 0
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for filename in self.component_files:
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file_path = self.install_component_subdir / filename
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if self.file_manager.remove_file(file_path):
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removed_count += 1
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self.logger.debug(f"Removed agent: {filename}")
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else:
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self.logger.warning(f"Could not remove agent: {filename}")
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# Remove agents directory if empty
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try:
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if self.install_component_subdir.exists() and not any(
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self.install_component_subdir.iterdir()
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):
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self.install_component_subdir.rmdir()
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self.logger.debug("Removed empty agents directory")
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except Exception as e:
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self.logger.warning(f"Could not remove agents directory: {e}")
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# Update metadata to remove agents component
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try:
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if self.settings_manager.is_component_installed("agents"):
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self.settings_manager.remove_component_registration("agents")
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self.logger.info("Removed agents component from metadata")
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except Exception as e:
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self.logger.warning(f"Could not update metadata: {e}")
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self.logger.success(
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f"Agents component uninstalled ({removed_count} agents removed)"
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)
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return True
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except Exception as e:
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self.logger.exception(f"Unexpected error during agents uninstallation: {e}")
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return False
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def get_dependencies(self) -> List[str]:
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"""Get component dependencies"""
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return ["core"]
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def update(self, config: Dict[str, Any]) -> bool:
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"""Update agents component"""
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try:
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self.logger.info("Updating SuperClaude agents component...")
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# Check current version
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current_version = self.settings_manager.get_component_version("agents")
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target_version = self.get_metadata()["version"]
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if current_version == target_version:
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self.logger.info(
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f"Agents component already at version {target_version}"
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)
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return True
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self.logger.info(
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f"Updating agents component from {current_version} to {target_version}"
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)
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# Create backup of existing agents
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backup_files = []
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for filename in self.component_files:
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file_path = self.install_component_subdir / filename
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if file_path.exists():
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backup_path = self.file_manager.backup_file(file_path)
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if backup_path:
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backup_files.append(backup_path)
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self.logger.debug(f"Backed up agent: {filename}")
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# Perform installation (will overwrite existing files)
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if self._install(config):
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self.logger.success(
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f"Agents component updated to version {target_version}"
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)
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return True
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else:
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# Restore backups on failure
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self.logger.error("Agents update failed, restoring backups...")
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for backup_path in backup_files:
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try:
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original_path = (
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self.install_component_subdir
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/ backup_path.name.replace(".backup", "")
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)
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self.file_manager.copy_file(backup_path, original_path)
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self.logger.debug(f"Restored {original_path.name}")
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except Exception as e:
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self.logger.warning(f"Could not restore {backup_path}: {e}")
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return False
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except Exception as e:
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self.logger.exception(f"Unexpected error during agents update: {e}")
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return False
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def _get_source_dir(self) -> Path:
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"""Get source directory for agent files"""
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# Assume we're in superclaude/setup/components/agents.py
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# and agent files are in superclaude/superclaude/Agents/
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project_root = Path(__file__).parent.parent.parent
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return project_root / "superclaude" / "agents"
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def get_size_estimate(self) -> int:
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"""Get estimated installation size"""
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total_size = 0
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source_dir = self._get_source_dir()
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for filename in self.component_files:
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file_path = source_dir / filename
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if file_path.exists():
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total_size += file_path.stat().st_size
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# Add overhead for directories and metadata
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total_size += 5120 # ~5KB overhead
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return total_size
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def get_installation_summary(self) -> Dict[str, Any]:
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"""Get installation summary"""
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return {
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"component": self.get_metadata()["name"],
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"version": self.get_metadata()["version"],
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"agents_installed": len(self.component_files),
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"agent_files": self.component_files,
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"estimated_size": self.get_size_estimate(),
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"install_directory": str(self.install_component_subdir),
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"dependencies": self.get_dependencies(),
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}
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def validate_installation(self) -> Tuple[bool, List[str]]:
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"""Validate that agents component is correctly installed"""
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errors = []
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# Check if agents directory exists
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if not self.install_component_subdir.exists():
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errors.append(
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f"Agents directory not found: {self.install_component_subdir}"
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)
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return False, errors
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# Check if all agent files exist
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missing_agents = []
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for filename in self.component_files:
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agent_path = self.install_component_subdir / filename
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if not agent_path.exists():
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missing_agents.append(filename)
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if missing_agents:
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errors.append(f"Missing agent files: {missing_agents}")
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# Check version in metadata
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if not self.get_installed_version():
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errors.append("Agents component not registered in metadata")
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# Check if at least some standard agents are present
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expected_agents = [
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"system-architect.md",
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"frontend-architect.md",
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"backend-architect.md",
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"security-engineer.md",
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]
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missing_core_agents = []
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for agent in expected_agents:
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if agent not in self.component_files:
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missing_core_agents.append(agent)
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if missing_core_agents:
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errors.append(f"Missing core agent files: {missing_core_agents}")
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return len(errors) == 0, errors
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