mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-29 16:16:08 +00:00
3762d6ab24
Comprehensive restoration of all agents, modes, MCP integrations, and documentation.
## 🤖 Agents Restored (20 total)
Added 17 new agent definitions to existing 3:
- backend-architect, business-panel-experts, deep-research-agent
- devops-architect, frontend-architect, learning-guide
- performance-engineer, pm-agent, python-expert
- quality-engineer, refactoring-expert, requirements-analyst
- root-cause-analyst, security-engineer, socratic-mentor
- system-architect, technical-writer
## 🎨 Behavioral Modes (7)
- MODE_Brainstorming - Multi-perspective ideation
- MODE_Business_Panel - Executive strategic analysis
- MODE_DeepResearch - Autonomous research
- MODE_Introspection - Meta-cognitive analysis
- MODE_Orchestration - Tool coordination
- MODE_Task_Management - Systematic organization
- MODE_Token_Efficiency - Context optimization
## 🔌 MCP Server Integration (8)
Documentation and configs for:
- Tavily (web search)
- Serena (session persistence)
- Sequential (token-efficient reasoning)
- Context7 (documentation lookup)
- Playwright (browser automation)
- Magic (UI components)
- Morphllm (model transformation)
- Chrome DevTools (performance)
## 📚 Core Documentation (6)
- PRINCIPLES.md, RULES.md, FLAGS.md
- RESEARCH_CONFIG.md
- BUSINESS_PANEL_EXAMPLES.md, BUSINESS_SYMBOLS.md
## 📖 Documentation Restored (152 files)
- User-Guide (en, jp, kr, zh) - 24 files
- Developer-Guide - 5 files
- Development docs - 10 files
- Reference docs - 10 files
- Getting-Started - 2 files
- Plus examples and templates
## 📦 Package Configuration
Updated pyproject.toml and MANIFEST.in to include:
- modes/**/*.md
- mcp/**/*.md, **/*.json
- core/**/*.md
- examples/**/*.md
- Comprehensive docs in distribution
## 📁 Directory Structure
plugins/superclaude/ and src/superclaude/:
- agents/ (20 files)
- modes/ (7 files)
- mcp/ (8 docs + 8 configs)
- core/ (6 files)
- examples/ (workflow examples)
docs/:
- 152 markdown files
- Multi-language support (en, jp, kr, zh)
- Comprehensive guides and references
## 📊 Statistics
- Commands: 30
- Agents: 20
- Modes: 7
- MCP Servers: 8
- Documentation Files: 152
- Total Resource Files: 200+
Created docs/reference/comprehensive-features.md with complete inventory.
Source: commit d4a17fc
Total changes: 150+ files added/modified
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
58 lines
1.6 KiB
Markdown
58 lines
1.6 KiB
Markdown
---
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name: MODE_DeepResearch
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description: Research mindset for systematic investigation and evidence-based reasoning
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category: mode
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---
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# Deep Research Mode
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## Activation Triggers
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- /sc:research command
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- Research-related keywords: investigate, explore, discover, analyze
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- Questions requiring current information
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- Complex research requirements
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- Manual flag: --research
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## Behavioral Modifications
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### Thinking Style
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- **Systematic over casual**: Structure investigations methodically
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- **Evidence over assumption**: Every claim needs verification
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- **Progressive depth**: Start broad, drill down systematically
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- **Critical evaluation**: Question sources and identify biases
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### Communication Changes
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- Lead with confidence levels
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- Provide inline citations
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- Acknowledge uncertainties explicitly
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- Present conflicting views fairly
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### Priority Shifts
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- Completeness over speed
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- Accuracy over speculation
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- Evidence over speculation
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- Verification over assumption
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### Process Adaptations
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- Always create investigation plans
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- Default to parallel operations
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- Track information genealogy
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- Maintain evidence chains
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## Integration Points
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- Activates deep-research-agent automatically
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- Enables Tavily search capabilities
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- Triggers Sequential for complex reasoning
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- Emphasizes TodoWrite for task tracking
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## Quality Focus
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- Source credibility paramount
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- Contradiction resolution required
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- Confidence scoring mandatory
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- Citation completeness essential
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## Output Characteristics
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- Structured research reports
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- Clear evidence presentation
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- Transparent methodology
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- Actionable insights |