11 Commits

Author SHA1 Message Date
kazuki nakai
882a0d8356
refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers

## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.

## Changes

### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)

### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/

### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)

### Key Fallback Strategies

**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup

**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl

**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement

## Benefits
-  Zero external dependencies (100% functionality without MCP)
-  Enhanced capabilities when MCPs available (semantic search, freshness)
-  No functionality loss, only reduced search intelligence
-  Transparent degradation (no error messages, automatic fallback)

## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md

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

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

* chore: add PR template and pre-commit config

- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)

NOTE: Execute pre-commit inside Docker container to avoid host pollution:
  docker compose exec workspace uv tool install pre-commit
  docker compose exec workspace pre-commit run --all-files

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

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

* docs: update PM Agent context with token efficiency architecture

- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details

* refactor: PM Agent command with progressive loading

- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy

* fix: installer improvements

Update installer logic for better reliability

* docs: add comprehensive development documentation

- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis

* docs: add research documentation

Add LLM agent token efficiency research and analysis

* docs: add suggested commands reference

* docs: add session logs and testing documentation

- Add session analysis logs
- Add testing documentation

* feat: migrate CLI to typer + rich for modern UX

## What Changed

### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation

### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation

### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)

### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD

## Testing

```bash
uv run superclaude --help     # ✓ Works
uv run superclaude doctor     # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```

## Migration Path

-  P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)

## Performance Impact

- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code

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

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

* refactor: consolidate documentation directories

Merged claudedocs/ into docs/research/ for consistent documentation structure.

Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore

Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation

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

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

* perf: reduce /sc:pm command output from 1652 to 15 lines

- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md

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

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

* perf: split PM Agent into execution workflows and guide

- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed

Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction

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

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

* refactor: consolidate PM Agent optimization and pending changes

PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file

Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates

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

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

* refactor: simplify MCP installer to unified gateway with legacy mode

## Changes

### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
  - Default: uv + claude CLI only
  - Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions

### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer

## Benefits
-  Simpler: 1 gateway vs 9+ individual servers
-  Lighter: No Node.js/npm required (default mode)
-  Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
-  Flexible: --legacy flag for official servers if needed

## Usage
```bash
superclaude install              # Default: airis-mcp-gateway (推奨)
superclaude install --legacy     # Legacy: individual official servers
```

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

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

* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking

## Changes

### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)

### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
  1. Current token usage from system warnings
  2. Percentage used (e.g., "27% used" for 54K/200K)
  3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions

### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components

## Benefits
-  Clearer component naming (FrameworkDocs vs Core)
-  PM Agent token awareness for efficiency
-  Better visual feedback with status zones

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

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

* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)

**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation

**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation

**Quality Preservation**:
-  All core functions retained (PDCA, memory, patterns, mistakes)
-  PARALLEL Read/Write preserved (performance critical)
-  Workflow unchanged (session lifecycle intact)
-  Added output constraints (prevents verbose generation)

**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism

**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%

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

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

* refactor: consolidate MCP integration to unified gateway

**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach

**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process

**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic

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

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

* chore: update version and component metadata

- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes

🤖 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>
2025-10-17 05:43:06 +05:30
kazuki nakai
050d5ea2ab
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>
2025-10-14 08:47:09 +05:30
Moshe Anconina
f7cb0f7eb7
feat: Add Deep Research System v4.2.0 (#380)
feat: Add Deep Research System v4.2.0 - Autonomous web research capabilities

## Overview
Comprehensive implementation of Deep Research framework aligned with DR Agent architecture, enabling autonomous, adaptive, and intelligent web research capabilities.

## Key Features

### 🔬 Deep Research Agent
- 15th specialized agent for comprehensive research orchestration
- Adaptive planning strategies: Planning-Only, Intent-Planning, Unified Intent-Planning
- Multi-hop reasoning with genealogy tracking (up to 5 hops)
- Self-reflective mechanisms with confidence scoring (0.0-1.0)
- Case-based learning for cross-session intelligence

### 🎯 New /sc:research Command
- Intelligent web research with depth control (quick/standard/deep/exhaustive)
- Parallel-first execution for optimal performance
- Domain filtering and time-based search options
- Automatic report generation in claudedocs/

### 🔍 Tavily MCP Integration
- 7th MCP server for real-time web search
- News search with time filtering
- Content extraction from search results
- Multi-round searching with iterative refinement
- Free tier available with optional API key

### 🎨 MODE_DeepResearch
- 7th behavioral mode for systematic investigation
- 6-phase workflow: Understand → Plan → TodoWrite → Execute → Track → Validate
- Evidence-based reasoning with citation management
- Parallel operation defaults for efficiency

## Technical Changes

### Framework Updates
- Updated agent count: 14 → 15 agents
- Updated mode count: 6 → 7 modes
- Updated MCP server count: 6 → 7 servers
- Updated command count: 24 → 25 commands

### Configuration
- Added RESEARCH_CONFIG.md for research settings
- Added deep_research_workflows.md with examples
- Standardized file naming conventions (UPPERCASE for Core)
- Removed multi-source investigation features for simplification

### Integration Points
- Enhanced MCP component with remote server support
- Added check_research_prerequisites() in environment.py
- Created verify_research_integration.sh script
- Updated all documentation guides

## Requirements
- TAVILY_API_KEY environment variable (free tier available)
- Node.js and npm for Tavily MCP execution

## Documentation
- Complete user guide integration
- Workflow examples and best practices
- API configuration instructions
- Depth level explanations

🤖 Generated with Claude Code

Co-authored-by: moshe_anconina <moshe_a@ituran.com>
Co-authored-by: Claude <noreply@anthropic.com>
2025-09-21 07:24:42 +05:30
NomenAK
9abaa10366 Implement dynamic version loading system
- Convert all hardcoded versions to dynamic loading from VERSION file
- Reduce version update locations from 50+ to just 3 files
- Add proper fallback handling for version reading
- Update all CLI commands to use dynamic __version__
- Streamline future version management process

This change makes version bumping much simpler - only need to update:
1. VERSION file
2. package.json
3. pyproject.toml
2025-08-23 14:10:11 +02:00
NomenAK
45bc5b8a98 🔖 Bump version to 4.0.7
- Add automatic update checking feature
- Fix component validation for pipx installations
- Update all version references across 35+ files
2025-08-23 12:52:10 +02:00
NomenAK
9e685b7326
Fix component validation and bump version to 4.0.6 (#292)
*  Enhance documentation with advanced markdown formatting

Major improvements to documentation presentation and usability:

README.md:
- Added centered hero section with framework statistics dashboard
- Created visual support section with donation cards
- Enhanced What's New section with feature grid layout
- Reorganized documentation links into categorized table
- Added professional badges and visual separators

installation.md:
- Centered title with platform badges and quick navigation
- Consolidated 4 installation methods into unified table
- Created visual requirement cards (Required vs Optional)
- Added collapsible troubleshooting sections
- Removed 3 duplicate "What's Next" sections
- Enhanced learning journey with progression tables

quick-start.md:
- Added visual framework architecture flow diagram
- Created component statistics dashboard (21|14|6|6)
- Built comparison table for SuperClaude vs Standard Claude
- Added 4-week learning timeline with milestones
- Enhanced workflow patterns with step-by-step tables
- Created key insights cards explaining framework philosophy

All documents now feature consistent styling with centered titles,
organized tables, emojis for visual scanning, and improved navigation.

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

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

* 🔥 Remove outdated publishing and release instruction files

Cleaned up repository by removing:
- PUBLISHING.md: Outdated publishing guidelines
- RELEASE_INSTRUCTIONS.md: Old release process documentation

These files are no longer needed as the project has evolved
and the processes have been streamlined or moved elsewhere.

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

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

* 🐛 Fix component validation to check metadata file instead of settings.json

Resolves #291 - Validation errors after V4 upgrade

## Changes
- Fixed validation logic to check .superclaude-metadata.json instead of settings.json
- Standardized all component versions to 4.0.4 across the framework
- Fixed agent validation to check for correct filenames (architect vs specialist/engineer)
- Cleaned up metadata file structure for consistency

## Technical Details
The issue was caused by components registering in .superclaude-metadata.json but
validation checking settings.json for component registration. This mismatch caused
false validation errors even though components were properly installed.

## Testing
All components now validate successfully with the corrected logic.

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

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

* 🔖 Bump version to 4.0.6 across entire project

## Summary
Comprehensive version update from 4.0.4 to 4.0.6 with validation fixes

## Changes
- Updated VERSION file, pyproject.toml, and package.json
- Updated all Python __version__ declarations (8 occurrences)
- Updated all component metadata versions (6 components, 25+ occurrences)
- Updated documentation and README version badges (11 files)
- Fixed package.json inconsistency (was 4.0.5)
- Updated legacy backup.py version reference (was 3.0.0)
- Added CHANGELOG entry for version 4.0.6

## Files Modified (26 total)
- Core: VERSION, pyproject.toml, package.json
- Python: SuperClaude/__init__.py, __main__.py, setup/__init__.py, cli/base.py
- Components: core.py, commands.py, agents.py, mcp.py, mcp_docs.py, modes.py
- Docs: README.md, CONTRIBUTING.md, SECURITY.md, installation.md, quick-start.md
- Config: features.json, backup.py, update.py
- User: ~/.claude/.superclaude-metadata.json

## Verification
All version references now consistently show 4.0.6
Historical references in CHANGELOG preserved as intended

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

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

* 📝 Update README.md installation instructions

---------

Signed-off-by: NomenAK <39598727+NomenAK@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
2025-08-23 12:08:09 +02:00
NomenAK
418683c265 📝 Complete version update to 4.0.4 across all files
- Updated all documentation references
- Updated all Python module versions
- Updated configuration and metadata files
- Synchronized version across entire codebase
2025-08-22 21:13:05 +02:00
NomenAK
5d0546e041 🔖 Complete version standardization to 4.0.3
- Update all remaining version references to 4.0.3
- Fix documentation files (SECURITY.md, CODE_OF_CONDUCT.md, CONTRIBUTING.md)
- Update PUBLISHING.md version references and examples
- Fix all component metadata versions (mcp, modes, mcp_docs)
- Update setup/data/features.json versions
- Fix SuperClaude __main__.py version strings
- Update all documentation command examples
- Standardize version across 15+ files

All components now consistently at v4.0.3 for dual PyPI/NPM release.

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-22 20:49:39 +02:00
NomenAK
55a150fe57 Refactor setup/ directory structure and modernize packaging
Major structural changes:
- Merged base/ into core/ directory for better organization
- Renamed managers/ to services/ for service-oriented architecture
- Moved operations/ to cli/commands/ for cleaner CLI structure
- Moved config/ to data/ for static configuration files

Class naming conventions:
- Renamed all *Manager classes to *Service classes
- Updated 200+ import references throughout codebase
- Maintained backward compatibility for all functionality

Modern Python packaging:
- Created comprehensive pyproject.toml with build configuration
- Modernized setup.py to defer to pyproject.toml
- Added development tools configuration (black, mypy, pytest)
- Fixed deprecation warnings for license configuration

Comprehensive testing:
- All 37 Python files compile successfully
- All 17 modules import correctly
- All CLI commands functional (install, update, backup, uninstall)
- Zero errors in syntax validation
- 100% working functionality maintained

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-14 22:03:34 +02:00
NomenAK
2e0f2cff6c Remove profile system and make custom two-stage selection default
- Remove profiles/ directory with all profile JSON files
- Update install.py to remove profile CLI options and simplify flow
- Make interactive two-stage selection (MCP → Components) the default
- Remove ConfigManager.load_profile() method
- Update documentation to reflect simplified installation process
- Add CLAUDEMdManager for intelligent CLAUDE.md import management
- Components now install to root directory with organized @imports
- Preserve user customizations while managing framework imports

This simplifies the installation experience while providing users
direct control over what gets installed through the intuitive
two-stage selection process.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-14 21:02:34 +02:00
NomenAK
0e71f29598 Implement two-stage installation with simplified MCP configuration
- Stage 1: MCP server selection (Context7, Sequential, Magic, Playwright, Serena, Morphllm)
- Stage 2: Framework components (Core, Modes, Commands, Agents, MCP Docs)

Major Changes:
- Created MCP config snippets in SuperClaude/MCP/configs/ for JSON-based configuration
- Simplified MCPComponent to modify .claude.json instead of npm/subprocess installation
- Added ModesComponent for behavioral modes (Brainstorming, Introspection, etc.)
- Added MCPDocsComponent for dynamic MCP documentation installation
- Completely removed Hooks component (deleted hooks.py, updated all references)
- Implemented two-stage interactive installation flow
- Updated profiles and configuration files

Benefits:
- Much simpler and more reliable MCP configuration
- Clear separation between server setup and documentation
- Auto-selection of MCP docs based on server choices
- User-friendly two-stage selection process

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-14 20:35:19 +02:00