- Remove --agent parameter from all CLI commands (now default behavior) - Restore and enhance Task() invocation context for cli-execution-agent - Add detailed execution phases and context discovery strategies - Simplify documentation by removing redundant CLI command templates - Consolidate output documentation to unified format Modified commands: - /cli:analyze, /cli:chat, /cli:execute - /cli:mode:plan, /cli:mode:code-analysis, /cli:mode:bug-diagnosis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
7.6 KiB
name, description, argument-hint, allowed-tools
| name | description | argument-hint | allowed-tools |
|---|---|---|---|
| execute | Autonomous code implementation with YOLO auto-approval using Gemini/Qwen/Codex, supports task ID or description input with automatic file pattern detection | [--tool codex|gemini|qwen] [--enhance] description or task-id | SlashCommand(*), Bash(*), Task(*) |
CLI Execute Command (/cli:execute)
Purpose
Execute implementation tasks with YOLO permissions (auto-approves all confirmations). MODIFIES CODE.
Intent: Autonomous code implementation, modification, and generation Supported Tools: codex, gemini (default), qwen Key Feature: Automatic context inference and file pattern detection
Core Behavior
- Code Modification: This command MODIFIES, CREATES, and DELETES code files
- Auto-Approval: YOLO mode bypasses confirmation prompts for all operations
- Implementation Focus: Executes actual code changes, not just recommendations
- Requires Explicit Intent: Use only when implementation is intended
Core Concepts
YOLO Permissions
Auto-approves: file pattern inference, execution, file modifications, summary generation
WARNING: This command will make actual code changes without manual confirmation
Execution Modes
1. Description Mode (supports --enhance):
- Input: Natural language description
- Process: [Optional: Enhance] → Keyword analysis → Pattern inference → Execute
2. Task ID Mode (no --enhance):
- Input: Workflow task identifier (e.g.,
IMPL-001) - Process: Task JSON parsing → Scope analysis → Execute
3. Agent Mode (default):
- Input: Description or task-id
- Process: 5-Phase Workflow → Context Discovery → Optimal Tool Selection → Execute
Context Inference
Auto-selects files based on keywords and technology (each @ references one pattern):
- "auth" →
@**/*auth* @**/*user* - "React" →
@src/**/*.jsx @src/**/*.tsx - "api" →
@**/api/**/* @**/routes/**/* - Always includes:
@CLAUDE.md @**/*CLAUDE.md
For precise file targeting, use rg or MCP tools to discover files first.
Codex Session Continuity
Resume Pattern for related tasks:
# First task - establish session
codex -C [dir] --full-auto exec "[task]" --skip-git-repo-check -s danger-full-access
# Related task - continue session
codex --full-auto exec "[related-task]" resume --last --skip-git-repo-check -s danger-full-access
Use resume --last when current task extends/relates to previous execution. See intelligent-tools-strategy.md for auto-resume rules.
Parameters
--tool <codex|gemini|qwen>- Select CLI tool (default: auto-select by agent based on complexity)--enhance- Enhance input with/enhance-promptfirst (Description Mode only)<description|task-id>- Natural language description or task identifier--debug- Verbose logging--save-session- Save execution to workflow session
Workflow Integration
Session Management: Auto-detects .workflow/.active-* marker
- Active session: Save to
.workflow/WFS-[id]/.chat/execute-[timestamp].md - No session: Create new session or save to scratchpad
Task Integration: Load from .task/[TASK-ID].json, update status, generate summary
Execution Flow
Uses cli-execution-agent (default) for automated implementation:
Task(
subagent_type="cli-execution-agent",
description="Autonomous code implementation with YOLO auto-approval",
prompt=`
Task: ${description_or_task_id}
Mode: execute
Tool: ${tool_flag || 'auto-select'}
Enhance: ${enhance_flag}
Task-ID: ${task_id}
Execute autonomous code implementation with full modification permissions:
1. Task Analysis:
${task_id ? '- Load task spec from .task/' + task_id + '.json' : ''}
- Parse requirements and implementation scope
- Classify complexity (simple/medium/complex)
- Extract keywords for context discovery
2. Context Discovery:
- Discover implementation files using MCP/ripgrep
- Identify existing patterns and conventions (CLAUDE.md)
- Map dependencies and integration points
- Gather related tests and documentation
- Auto-detect file patterns from keywords
3. Tool Selection & Execution:
- Complexity assessment:
* Simple/Medium → Gemini/Qwen (MODE=write, --approval-mode yolo)
* Complex → Codex (MODE=auto, --skip-git-repo-check -s danger-full-access)
- Tool preference: ${tool_flag || 'auto-select based on complexity'}
- Apply appropriate implementation template
- Execute with YOLO auto-approval (bypasses all confirmations)
4. Implementation:
- Modify/create/delete code files per requirements
- Follow existing code patterns and conventions
- Include comprehensive context in CLI command
- Ensure working implementation with proper error handling
5. Output & Documentation:
- Save execution log: .workflow/WFS-[id]/.chat/execute-[timestamp].md
${task_id ? '- Generate task summary: .workflow/WFS-[id]/.summaries/' + task_id + '-summary.md' : ''}
${task_id ? '- Update task status in .task/' + task_id + '.json' : ''}
- Document all code changes made
⚠️ YOLO Mode: All file operations auto-approved without confirmation
`
)
Output: .workflow/WFS-[id]/.chat/execute-[timestamp].md + .summaries/[TASK-ID]-summary.md (or .scratchpad/ if no session)
Examples
Basic Implementation (modifies code):
/cli:execute "implement JWT authentication with middleware"
# Agent Phase 1: Classifies intent=execute, complexity=medium, keywords=['jwt', 'auth', 'middleware']
# Agent Phase 2: Discovers auth patterns, existing middleware structure
# Agent Phase 3: Selects Gemini (medium complexity)
# Agent Phase 4: Executes with auto-approval
# Result: NEW/MODIFIED code files with JWT implementation
Complex Implementation (modifies code):
/cli:execute "implement OAuth2 authentication with token refresh"
# Agent Phase 1: Classifies intent=execute, complexity=complex, keywords=['oauth2', 'auth', 'token', 'refresh']
# Agent Phase 2: MCP discovers auth patterns, existing middleware, JWT dependencies
# Agent Phase 3: Enhances prompt with discovered patterns and best practices
# Agent Phase 4: Selects Codex (complex task), executes with comprehensive context
# Agent Phase 5: Saves execution log + generates implementation summary
# Result: Complete OAuth2 implementation + detailed execution log
Enhanced Implementation (modifies code):
/cli:execute --enhance "implement JWT authentication"
# Step 1: Enhance to expand requirements
# Step 2: Execute implementation with auto-approval
# Result: Complete auth system with MODIFIED code files
Task Execution (modifies code):
/cli:execute IMPL-001
# Reads: .task/IMPL-001.json for requirements
# Executes: Implementation based on task spec
# Result: Code changes per task definition
Codex Implementation (modifies code):
/cli:execute --tool codex "optimize database queries"
# Executes: Codex with full file access
# Result: MODIFIED query code, new indexes, updated tests
Qwen Code Generation (modifies code):
/cli:execute --tool qwen --enhance "refactor auth module"
# Step 1: Enhanced refactoring plan
# Step 2: Execute with MODE=write
# Result: REFACTORED auth code with structural changes
Comparison with Analysis Commands
| Command | Intent | Code Changes | Auto-Approve |
|---|---|---|---|
/cli:analyze |
Understand code | NO | N/A |
/cli:chat |
Ask questions | NO | N/A |
/cli:execute |
Implement | YES | YES |