feat: migrate research and index-repo to plugin, delete all slash commands

## Plugin Migration
Added to pm-agent plugin:
- /research: Deep web research with adaptive planning
- /index-repo: Repository index (94% token reduction)
- Total: 3 commands (pm, research, index-repo)

## Slash Commands Deleted
Removed all 27 slash commands from ~/.claude/commands/sc/:
- analyze, brainstorm, build, business-panel, cleanup
- design, document, estimate, explain, git, help
- implement, improve, index, load, pm, reflect
- research, save, select-tool, spawn, spec-panel
- task, test, troubleshoot, workflow

## Architecture Change
Strategy: Minimal start with PM Agent orchestration
- PM Agent = orchestrator (統括コマンダー)
- Task tool (general-purpose, Explore) = execution
- Plugin commands = specialized tasks when needed
- Avoid reinventing the wheel (use official tools first)

## Files Changed
- .claude-plugin/plugin.json: Added research + index-repo
- .claude-plugin/commands/research.md: Copied from slash command
- .claude-plugin/commands/index-repo.md: Copied from slash command
- ~/.claude/commands/sc/: DELETED (all 27 commands)

## Benefits
✅ Minimal footprint (3 commands vs 27)
✅ Plugin-based distribution
✅ Version control
✅ Easy to extend when needed

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

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

.claude-plugin/commands/index-repo.md

@@ -0,0 +1,166 @@
+---
+name: index-repo
+description: "Create repository structure index for fast context loading (94% token reduction)"
+category: optimization
+complexity: simple
+mcp-servers: []
+personas: []
+---
+
+# Repository Indexing for Token Efficiency
+
+**Problem**: Loading全ファイルで毎回50,000トークン消費
+**Solution**: 最初だけインデックス作成、以降3,000トークンで済む (94%削減)
+
+## Auto-Execution
+
+**PM Mode Session Start**:
+```python
+index_path = Path("PROJECT_INDEX.md")
+if not index_path.exists() or is_stale(index_path, days=7):
+    print("🔄 Creating repository index...")
+    # Execute indexing automatically
+    uv run python superclaude/indexing/parallel_repository_indexer.py
+```
+
+**Manual Trigger**:
+```bash
+/sc:index-repo           # Full index
+/sc:index-repo --quick   # Fast scan
+/sc:index-repo --update  # Incremental
+```
+
+## What It Does
+
+### Parallel Analysis (5 concurrent tasks)
+1. **Code structure** (src/, lib/, superclaude/)
+2. **Documentation** (docs/, *.md)
+3. **Configuration** (.toml, .yaml, .json)
+4. **Tests** (tests/, **tests**)
+5. **Scripts** (scripts/, bin/, tools/)
+
+### Output Files
+- `PROJECT_INDEX.md` - Human-readable (3KB)
+- `PROJECT_INDEX.json` - Machine-readable (10KB)
+- `.superclaude/knowledge/agent_performance.json` - Learning data
+
+## Token Efficiency
+
+**Before** (毎セッション):
+```
+Read all .md files: 41,000 tokens
+Read all .py files: 15,000 tokens
+Glob searches: 2,000 tokens
+Total: 58,000 tokens
+```
+
+**After** (インデックス使用):
+```
+Read PROJECT_INDEX.md: 3,000 tokens
+Direct file access: 1,000 tokens
+Total: 4,000 tokens
+
+Savings: 93% (54,000 tokens)
+```
+
+## Usage in Sessions
+
+```python
+# Session start
+index = read_file("PROJECT_INDEX.md")  # 3,000 tokens
+
+# Navigation
+"Where is the validator code?"
+→ Index says: superclaude/validators/
+→ Direct read, no glob needed
+
+# Understanding
+"What's the project structure?"
+→ Index has full overview
+→ No need to scan all files
+
+# Implementation
+"Add new validator"
+→ Index shows: tests/validators/ exists
+→ Index shows: 5 existing validators
+→ Follow established pattern
+```
+
+## Execution
+
+```bash
+$ /sc:index-repo
+
+================================================================================
+🚀 Parallel Repository Indexing
+================================================================================
+Repository: /Users/kazuki/github/SuperClaude_Framework
+Max workers: 5
+================================================================================
+
+📊 Executing parallel tasks...
+
+  ✅ code_structure: 847ms (system-architect)
+  ✅ documentation: 623ms (technical-writer)
+  ✅ configuration: 234ms (devops-architect)
+  ✅ tests: 512ms (quality-engineer)
+  ✅ scripts: 189ms (backend-architect)
+
+================================================================================
+✅ Indexing complete in 2.41s
+================================================================================
+
+💾 Index saved to: PROJECT_INDEX.md
+💾 JSON saved to: PROJECT_INDEX.json
+
+Files: 247 | Quality: 72/100
+```
+
+## Integration with Setup
+
+```python
+# setup/components/knowledge_base.py
+
+def install_knowledge_base():
+    """Install framework knowledge"""
+    # ... existing installation ...
+
+    # Auto-create repository index
+    print("\n📊 Creating repository index...")
+    run_indexing()
+    print("✅ Index created - 93% token savings enabled")
+```
+
+## When to Re-Index
+
+**Auto-triggers**:
+- セットアップ時 (初回のみ)
+- INDEX.mdが7日以上古い
+- PM Modeセッション開始時にチェック
+
+**Manual re-index**:
+- 大規模リファクタリング後 (>20 files)
+- 新機能追加後 (new directories)
+- 週1回 (active development)
+
+**Skip**:
+- 小規模編集 (<5 files)
+- ドキュメントのみ変更
+- INDEX.mdが24時間以内
+
+## Performance
+
+**Speed**:
+- Large repo (500+ files): 3-5 min
+- Medium repo (100-500 files): 1-2 min
+- Small repo (<100 files): 10-30 sec
+
+**Self-Learning**:
+- Tracks agent performance
+- Optimizes future runs
+- Stored in `.superclaude/knowledge/`
+
+---
+
+**Implementation**: `superclaude/indexing/parallel_repository_indexer.py`
+**Related**: `/sc:pm` (uses index), `/sc:save`, `/sc:load`

.claude-plugin/commands/research.md

@@ -0,0 +1,103 @@
+---
+name: research
+description: Deep web research with adaptive planning and intelligent search
+category: command
+complexity: advanced
+mcp-servers: [tavily, sequential, playwright, serena]
+personas: [deep-research-agent]
+---
+
+# /sc:research - Deep Research Command
+
+> **Context Framework Note**: This command activates comprehensive research capabilities with adaptive planning, multi-hop reasoning, and evidence-based synthesis.
+
+## Triggers
+- Research questions beyond knowledge cutoff
+- Complex research questions
+- Current events and real-time information
+- Academic or technical research requirements
+- Market analysis and competitive intelligence
+
+## Context Trigger Pattern
+```
+/sc:research "[query]" [--depth quick|standard|deep|exhaustive] [--strategy planning|intent|unified]
+```
+
+## Behavioral Flow
+
+### 1. Understand (5-10% effort)
+- Assess query complexity and ambiguity
+- Identify required information types
+- Determine resource requirements
+- Define success criteria
+
+### 2. Plan (10-15% effort)
+- Select planning strategy based on complexity
+- Identify parallelization opportunities
+- Generate research question decomposition
+- Create investigation milestones
+
+### 3. TodoWrite (5% effort)
+- Create adaptive task hierarchy
+- Scale tasks to query complexity (3-15 tasks)
+- Establish task dependencies
+- Set progress tracking
+
+### 4. Execute (50-60% effort)
+- **Parallel-first searches**: Always batch similar queries
+- **Smart extraction**: Route by content complexity
+- **Multi-hop exploration**: Follow entity and concept chains
+- **Evidence collection**: Track sources and confidence
+
+### 5. Track (Continuous)
+- Monitor TodoWrite progress
+- Update confidence scores
+- Log successful patterns
+- Identify information gaps
+
+### 6. Validate (10-15% effort)
+- Verify evidence chains
+- Check source credibility
+- Resolve contradictions
+- Ensure completeness
+
+## Key Patterns
+
+### Parallel Execution
+- Batch all independent searches
+- Run concurrent extractions
+- Only sequential for dependencies
+
+### Evidence Management
+- Track search results
+- Provide clear citations when available
+- Note uncertainties explicitly
+
+### Adaptive Depth
+- **Quick**: Basic search, 1 hop, summary output
+- **Standard**: Extended search, 2-3 hops, structured report
+- **Deep**: Comprehensive search, 3-4 hops, detailed analysis
+- **Exhaustive**: Maximum depth, 5 hops, complete investigation
+
+## MCP Integration
+- **Tavily**: Primary search and extraction engine
+- **Sequential**: Complex reasoning and synthesis
+- **Playwright**: JavaScript-heavy content extraction
+- **Serena**: Research session persistence
+
+## Output Standards
+- Save reports to `docs/research/[topic]_[timestamp].md`
+- Include executive summary
+- Provide confidence levels
+- List all sources with citations
+
+## Examples
+```
+/sc:research "latest developments in quantum computing 2024"
+/sc:research "competitive analysis of AI coding assistants" --depth deep
+/sc:research "best practices for distributed systems" --strategy unified
+```
+
+## Boundaries
+**Will**: Current information, intelligent search, evidence-based analysis
+**Won't**: Make claims without sources, skip validation, access restricted content

.claude-plugin/plugin.json

@@ -8,6 +8,16 @@
       "name": "pm",
       "path": "commands/pm.md",
       "description": "Activate PM Agent with confidence-driven workflow"
+    },
+    {
+      "name": "research",
+      "path": "commands/research.md",
+      "description": "Deep web research with adaptive planning and intelligent search"
+    },
+    {
+      "name": "index-repo",
+      "path": "commands/index-repo.md",
+      "description": "Create repository structure index for fast context loading (94% token reduction)"
     }
   ],
   "skills": [

src/superclaude/__init__.py

@@ -12,12 +12,10 @@ __author__ = "Kazuki Nakai"
 from .pm_agent.confidence import ConfidenceChecker
 from .pm_agent.self_check import SelfCheckProtocol
 from .pm_agent.reflexion import ReflexionPattern
-from .pm_agent.token_budget import TokenBudgetManager
 
 __all__ = [
     "ConfidenceChecker",
     "SelfCheckProtocol",
     "ReflexionPattern",
-    "TokenBudgetManager",
     "__version__",
 ]