feat(research): Add subtasks to fuzzy search and follow-up questions

- Enhanced fuzzy search to include subtasks in discovery - Added interactive follow-up question functionality using inquirer
- Improved context discovery by including both tasks and subtasks
- Follow-up option for research with default to 'n' for quick workflow

.changeset/bright-windows-sing.md

@@ -2,4 +2,43 @@
 'task-master-ai': minor
 ---
 
-Introduces the 'research' command to give your agent or yourself the ability to quickly get an answer using context from tasks, files, your project tree, or all.
+Add comprehensive AI-powered research command with intelligent context gathering and interactive follow-ups.
+
+The new `research` command provides AI-powered research capabilities that automatically gather relevant project context to answer your questions. The command intelligently selects context from multiple sources and supports interactive follow-up questions in CLI mode.
+
+**Key Features:**
+- **Intelligent Task Discovery**: Automatically finds relevant tasks and subtasks using fuzzy search based on your query keywords, supplementing any explicitly provided task IDs
+- **Multi-Source Context**: Gathers context from tasks, files, project structure, and custom text to provide comprehensive answers
+- **Interactive Follow-ups**: CLI users can ask follow-up questions that build on the conversation history while allowing fresh context discovery for each question
+- **Flexible Detail Levels**: Choose from low (concise), medium (balanced), or high (comprehensive) response detail levels
+- **Token Transparency**: Displays detailed token breakdown showing context size, sources, and estimated costs
+- **Enhanced Display**: Syntax-highlighted code blocks and structured output with clear visual separation
+
+**Usage Examples:**
+```bash
+# Basic research with auto-discovered context
+task-master research "How should I implement user authentication?"
+
+# Research with specific task context
+task-master research "What's the best approach for this?" --id=15,23.2
+
+# Research with file context and project tree
+task-master research "How does the current auth system work?" --files=src/auth.js,config/auth.json --tree
+
+# Research with custom context and low detail
+task-master research "Quick implementation steps?" --context="Using JWT tokens" --detail=low
+```
+
+**Context Sources:**
+- **Tasks**: Automatically discovers relevant tasks/subtasks via fuzzy search, plus any explicitly specified via `--id`
+- **Files**: Include specific files via `--files` for code-aware responses
+- **Project Tree**: Add `--tree` to include project structure overview
+- **Custom Context**: Provide additional context via `--context` for domain-specific information
+
+**Interactive Features (CLI only):**
+- Follow-up questions that maintain conversation history
+- Fresh fuzzy search for each follow-up to discover newly relevant tasks
+- Cumulative context building across the conversation
+- Clean visual separation between exchanges
+
+The research command integrates with the existing AI service layer and supports all configured AI providers. MCP integration provides the same functionality for programmatic access without interactive features.