Claude-Code-Workflow/.claude/commands/cli/chat.md

name, description, argument-hint, allowed-tools

name	description	argument-hint	allowed-tools
chat	Simple CLI interaction command for direct codebase analysis	[--agent] [--tool codex|gemini|qwen] [--enhance] inquiry	SlashCommand(*), Bash(*), Task(*)

CLI Chat Command (/cli:chat)

Purpose

Direct Q&A interaction with CLI tools for codebase analysis. Analysis only - does NOT modify code.

Intent: Ask questions, get explanations, understand codebase structure Supported Tools: codex, gemini (default), qwen

Core Behavior

1. Conversational Analysis: Direct question-answer interaction about codebase
2. Read-Only: This command ONLY provides information and analysis
3. No Code Modification: Results are explanations and insights
4. Flexible Context: Choose specific files or entire codebase

Parameters

• <inquiry> (Required) - Question or analysis request
• --agent - Use cli-execution-agent for automated context discovery (5-phase intelligent mode)
• --tool <codex|gemini|qwen> - Select CLI tool (default: gemini, ignored in agent mode)
• --enhance - Enhance inquiry with /enhance-prompt first
• --save-session - Save interaction to workflow session

Execution Flow

Standard Mode (Default)

1. Parse tool selection (default: gemini)
2. If --enhance: Execute /enhance-prompt to expand user intent
3. Assemble context: @CLAUDE.md + user-specified files or @**/* for entire codebase
4. Execute CLI tool with assembled context (read-only, analysis mode)
5. Return explanations and insights (NO code changes)
6. Optionally save to workflow session

Agent Mode (--agent flag)

Delegate inquiry to cli-execution-agent for intelligent Q&A with automated context discovery.

Agent invocation:

Task(
  subagent_type="cli-execution-agent",
  description="Answer question with automated context discovery",
  prompt=`
    Task: ${inquiry}
    Mode: analyze (Q&A)
    Tool Preference: ${tool_flag || 'auto-select'}

    Agent will autonomously:
    - Discover files relevant to the question
    - Build Q&A prompt with precise context
    - Execute and generate comprehensive answer
    - Save conversation log
  `
)

The agent handles all phases internally.

Context Assembly

Always included: @CLAUDE.md @**/*CLAUDE.md (project guidelines, space-separated)

Optional:

• User-explicit files from inquiry keywords
• Use @**/* in CONTEXT for entire codebase

For targeted analysis, use rg or MCP tools to discover relevant files first, then build precise CONTEXT field.

Command Template

cd . && gemini -p "
PURPOSE: Answer user inquiry about codebase
TASK: [user question]
MODE: analysis
CONTEXT: @CLAUDE.md @**/*CLAUDE.md [inferred files or @**/* for all files]
EXPECTED: Direct answer, explanation, insights (NO code modification)
RULES: Focus on clarity and accuracy
"

Examples

Basic Question (Standard Mode):

/cli:chat "analyze the authentication flow"
# Executes: Gemini analysis
# Returns: Explanation of auth flow, components involved, data flow

Intelligent Q&A (Agent Mode):

/cli:chat --agent "how does JWT token refresh work in this codebase"
# Phase 1: Understands inquiry = JWT refresh mechanism
# Phase 2: Discovers JWT files, refresh logic, middleware patterns
# Phase 3: Builds Q&A prompt with discovered implementation details
# Phase 4: Executes Gemini with precise context for accurate answer
# Phase 5: Saves conversation log with discovered context
# Returns: Detailed answer with code references + execution log

Architecture Question:

/cli:chat --tool qwen -p "how does React component optimization work here"
# Executes: Qwen architecture analysis
# Returns: Component structure explanation, optimization patterns used

Security Analysis:

/cli:chat --tool codex "review security vulnerabilities"
# Executes: Codex security analysis
# Returns: Vulnerability assessment, security recommendations (NO automatic fixes)

Enhanced Inquiry:

/cli:chat --enhance "explain the login issue"
# Step 1: Enhance to expand login context
# Step 2: Analysis with expanded understanding
# Returns: Detailed explanation of login flow and potential issues

Output Routing

Output Destination Logic:

• Active session exists AND query is session-relevant:
  • Save to .workflow/WFS-[id]/.chat/chat-[timestamp].md
• No active session OR unrelated query:
  • Save to .workflow/.scratchpad/chat-[description]-[timestamp].md

Examples:

• During active session WFS-api-refactor, asking about API structure → .chat/chat-20250105-143022.md
• No session, asking about build process → .scratchpad/chat-build-process-20250105-143045.md

Notes

• Command templates and file patterns: see intelligent-tools-strategy.md (loaded in memory)
• Scratchpad conversations preserved for future reference