mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-17 17:56:46 +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>
310 lines
11 KiB
Markdown
310 lines
11 KiB
Markdown
# Session Management Guide
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SuperClaude provides persistent session management through the Serena MCP server, enabling true context preservation across Claude Code conversations and long-term project continuity.
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## Core Session Commands with Persistent Memory
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### `/sc:load` - Context Loading with Persistent Memory
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**Purpose**: Initialize session with project context and persistent memory from previous sessions
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**MCP Integration**: Triggers Serena MCP to read stored project memories
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**Syntax**: `/sc:load [project_path]`
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**What Happens**:
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- Serena MCP reads persistent memory files from previous sessions
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- Project context is restored from stored memories
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- Previous decisions, patterns, and progress are loaded
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- Session state is initialized with historical context
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**Use Cases**:
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```bash
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# Load existing project context from persistent memory
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/sc:load src/
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# Resume specific project work with full history
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/sc:load "authentication-system"
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# Initialize with codebase analysis and previous insights
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/sc:load . --analyze
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```
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### `/sc:save` - Session Persistence to Memory
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**Purpose**: Save current session state and decisions to persistent memory
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**MCP Integration**: Triggers Serena MCP to write memory files
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**Syntax**: `/sc:save "session_description"`
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**What Happens**:
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- Current context and decisions are written to Serena memory
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- Project state and progress are persisted across conversations
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- Key insights and patterns are stored for future sessions
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- Session summary is created with timestamp for retrieval
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**Use Cases**:
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```bash
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# Save completed feature work for future reference
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/sc:save "user authentication implemented with JWT"
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# Checkpoint during complex work
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/sc:save "API design phase complete, ready for implementation"
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# Store architectural decisions permanently
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/sc:save "microservices architecture decided, service boundaries defined"
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```
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### `/sc:reflect` - Progress Assessment with Memory Context
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**Purpose**: Analyze current progress against stored memories and validate session completeness
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**MCP Integration**: Uses Serena MCP to compare current state against stored memories
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**Syntax**: `/sc:reflect [--scope project|session]`
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**What Happens**:
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- Serena MCP reads previous memories and current context
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- Progress is assessed against stored goals and milestones
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- Gaps and next steps are identified using historical context
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- Session completeness is validated against project memory
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**Use Cases**:
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```bash
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# Assess project progress against stored milestones
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/sc:reflect --scope project
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# Validate current session completeness
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/sc:reflect
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# Check if ready to move to next phase based on memory
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/sc:reflect --scope session
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```
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## Persistent Memory Architecture
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### How Serena MCP Enables True Persistence
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**Memory Storage**:
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- Session contexts stored as structured memory files
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- Project decisions and architectural patterns preserved permanently
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- Code analysis results and insights retained across conversations
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- Progress tracking and milestone data maintained long-term
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**Cross-Session Continuity**:
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- Previous session context automatically available in new conversations
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- Decisions and rationale preserved and accessible across conversations
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- Learning from past patterns and solutions maintained
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- Consistent project understanding maintained indefinitely
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**Memory Types**:
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- **Project Memories**: Long-term project context and architecture
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- **Session Memories**: Specific conversation outcomes and decisions
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- **Pattern Memories**: Reusable solutions and architectural patterns
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- **Progress Memories**: Milestone tracking and completion status
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## Session Lifecycle Patterns with Persistence
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### New Project Initialization
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```bash
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# 1. Start fresh project
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/sc:brainstorm "e-commerce platform requirements"
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# 2. Save initial decisions to persistent memory
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/sc:save "project scope and requirements defined"
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# 3. Begin implementation planning
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/sc:workflow "user authentication system"
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# 4. Save architectural decisions permanently
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/sc:save "auth architecture: JWT + refresh tokens + rate limiting"
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```
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### Resuming Existing Work (Cross-Conversation)
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```bash
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# 1. Load previous context from persistent memory
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/sc:load "e-commerce-project"
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# 2. Assess current state against stored progress
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/sc:reflect --scope project
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# 3. Continue with next phase using stored context
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/sc:implement "payment processing integration"
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# 4. Save progress checkpoint to memory
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/sc:save "payment system integrated with Stripe API"
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```
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### Long-Term Project Management
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```bash
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# Weekly checkpoint pattern with persistence
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/sc:load project-name
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/sc:reflect --scope project
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# ... work on features ...
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/sc:save "week N progress: features X, Y, Z completed"
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# Phase completion pattern with memory
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/sc:reflect --scope project
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/sc:save "Phase 1 complete: core authentication and user management"
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/sc:workflow "Phase 2: payment and order processing"
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```
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## Cross-Conversation Continuity
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### Starting New Conversations with Persistence
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When starting a new Claude Code conversation, the persistent memory system allows:
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1. **Automatic Context Restoration**
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```bash
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/sc:load project-name
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# Automatically restores all previous context, decisions, and progress
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```
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2. **Progress Continuation**
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- Previous session decisions are immediately available
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- Architectural patterns and code insights are preserved
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- Project history and rationale are maintained
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3. **Intelligent Context Building**
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- Serena MCP provides relevant memories based on current work
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- Past solutions and patterns inform new implementations
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- Project evolution is tracked and understood
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### Memory Optimization
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**Effective Memory Usage**:
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- Use descriptive, searchable memory names
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- Include project phase and timestamp context
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- Reference specific features or architectural decisions
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- Make future retrieval intuitive
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**Memory Content Strategy**:
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- Store decisions and rationale, not just outcomes
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- Include alternative approaches considered
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- Document integration patterns and dependencies
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- Preserve learning and insights for future reference
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**Memory Lifecycle Management**:
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- Regular cleanup of outdated memories
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- Consolidation of related session memories
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- Archiving of completed project phases
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- Pruning of obsolete architectural decisions
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## Best Practices for Persistent Sessions
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### Session Start Protocol
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1. Always begin with `/sc:load` for existing projects
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2. Use `/sc:reflect` to understand current state from memory
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3. Plan work based on persistent context and stored patterns
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4. Build on previous decisions and architectural choices
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### Session End Protocol
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1. Use `/sc:reflect` to assess completeness against stored goals
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2. Save key decisions with `/sc:save` for future sessions
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3. Document next steps and open questions in memory
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4. Preserve context for seamless future continuation
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### Memory Quality Maintenance
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- Use clear, descriptive memory names for easy retrieval
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- Include context about decisions and alternative approaches
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- Reference specific code locations and patterns
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- Maintain consistency in memory structure across sessions
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## Integration with Other SuperClaude Features
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### MCP Server Coordination
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- **Serena MCP**: Provides the persistent memory infrastructure
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- **Sequential MCP**: Uses stored memories for enhanced complex analysis
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- **Context7 MCP**: References stored patterns and documentation approaches
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- **Morphllm MCP**: Applies stored refactoring patterns consistently
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### Agent Collaboration with Memory
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- Agents access persistent memories for enhanced context
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- Previous specialist decisions are preserved and referenced
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- Cross-session agent coordination through shared memory
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- Consistent specialist recommendations based on project history
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### Command Integration with Persistence
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- All `/sc:` commands can reference and build on persistent context
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- Previous command outputs and decisions are available across sessions
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- Workflow patterns are stored and reusable
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- Implementation history guides future command decisions
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## Troubleshooting Persistent Sessions
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### Common Issues
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**Memory Not Loading**:
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- Verify Serena MCP is configured and running properly
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- Check memory file permissions and accessibility
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- Ensure consistent project naming conventions
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- Validate memory file integrity and format
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**Context Loss Between Sessions**:
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- Always use `/sc:save` before ending sessions
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- Use descriptive memory names for easy retrieval
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- Regular `/sc:reflect` to validate memory completeness
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- Backup important memory files periodically
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**Memory Conflicts**:
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- Use timestamped memory names for version control
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- Regular cleanup of obsolete memories
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- Clear separation between project and session memories
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- Consistent memory naming conventions across sessions
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### Quick Fixes
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**Reset Session State**:
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```bash
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/sc:load --fresh # Start without previous context
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/sc:reflect # Assess current state
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```
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**Memory Cleanup**:
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```bash
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/sc:reflect --cleanup # Remove obsolete memories
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/sc:save --consolidate # Merge related memories
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```
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**Context Recovery**:
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```bash
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/sc:load --recent # Load most recent memories
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/sc:reflect --repair # Identify and fix context gaps
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```
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## Advanced Persistent Session Patterns
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### Multi-Phase Projects
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- Use phase-specific memory naming for organization
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- Maintain architectural decision continuity across phases
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- Cross-phase dependency tracking through persistent memory
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- Progressive complexity management with historical context
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### Team Collaboration
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- Shared memory conventions and naming standards
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- Decision rationale preservation for team context
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- Integration pattern documentation accessible to all team members
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- Consistent code style and architecture enforcement through memory
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### Long-Term Maintenance
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- Memory archiving strategies for completed projects
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- Pattern library development through accumulated memories
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- Reusable solution documentation built over time
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- Knowledge base building through persistent memory accumulation
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## Key Benefits of Persistent Session Management
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### Project Continuity
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- Seamless work continuation across multiple conversations
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- No context loss between Claude Code sessions
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- Preserved architectural decisions and technical rationale
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- Long-term project evolution tracking
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### Enhanced Productivity
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- Reduced need to re-explain project context
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- Faster startup time for continued work
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- Building on previous insights and patterns
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- Cumulative project knowledge growth
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### Quality Consistency
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- Consistent architectural patterns across sessions
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- Preserved code quality decisions and standards
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- Reusable solutions and best practices
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- Maintained technical debt awareness
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---
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**Key Takeaway**: Session management through Serena MCP transforms SuperClaude from single-conversation assistance to persistent project partnership, maintaining context, decisions, and learning across all development phases and Claude Code conversations. |