refactor: 移除插件内存管理系统 + 新增工作流引擎

移除内容:
- 删除 plugin_memory_manager.py (TTL淘汰 + 懒加载系统)
- unified_tool_manager.py 精简为直接加载，去掉内存管理器集成
- tui.py 移除内存管理状态显示

新增内容:
- plugins/workflow.py: YAML 工作流引擎
  - 顺序执行多步骤 (tool/shell/echo/wait/set/if)
  - 步骤间变量传递 ({{steps.name.output}})
  - 条件分支 (if/then/else)
  - 错误处理 (continue_on_error / on_fail)
  - 断点续跑 (状态持久化)
  - 调用其他插件作为步骤
- workflows/example.yaml: 示例工作流

修复:
- unified_tool_manager.shutdown() 增加 graceful cleanup
- unregister_tool() 增加实例清理

plugins/workflow.py

@@ -0,0 +1,804 @@
+"""
+工作流插件 - YAML 定义的多步骤自动化流程
+
+支持:
+  - 顺序执行多步骤
+  - 步骤间变量传递 ({{prev.output}})
+  - 条件分支 (on_fail / on_success)
+  - 错误处理 (continue_on_error)
+  - 状态持久化 (断点续跑)
+  - 调用其他插件作为步骤
+
+用法:
+  /workflow run <file.yaml>
+  /workflow list
+  /workflow status <workflow_id>
+  /workflow resume <workflow_id>
+  /workflow abort <workflow_id>
+"""
+
+import json
+import os
+import re
+import time
+import uuid
+from datetime import datetime
+from colorama import Fore, Style
+
+
+# ── YAML 解析（内置轻量实现，不依赖 PyYAML） ──
+
+def _parse_yaml(text: str) -> dict:
+    """轻量 YAML 解析器，支持工作流所需的子集"""
+    import yaml  # 延迟导入，失败时回退
+    return yaml.safe_load(text)
+
+
+def _parse_yaml_fallback(text: str) -> dict:
+    """内置回退解析器，仅支持简单结构"""
+    result = {}
+    current_key = None
+    current_list = None
+    current_dict = None
+
+    for line in text.split('\n'):
+        stripped = line.strip()
+        if not stripped or stripped.startswith('#'):
+            continue
+
+        indent = len(line) - len(line.lstrip())
+
+        if indent == 0 and ':' in stripped:
+            key, _, val = stripped.partition(':')
+            key = key.strip()
+            val = val.strip()
+            if val:
+                result[key] = _yaml_value(val)
+            else:
+                result[key] = None
+                current_key = key
+                current_list = None
+                current_dict = None
+        elif indent > 0 and stripped.startswith('- '):
+            if current_key:
+                if not isinstance(result.get(current_key), list):
+                    result[current_key] = []
+                item_text = stripped[2:].strip()
+                if ':' in item_text:
+                    item = {}
+                    k, _, v = item_text.partition(':')
+                    item[k.strip()] = _yaml_value(v.strip())
+                    current_dict = item
+                    result[current_key].append(item)
+                else:
+                    result[current_key].append(_yaml_value(item_text))
+        elif indent > 0 and ':' in stripped and current_dict is not None:
+            key, _, val = stripped.partition(':')
+            current_dict[key.strip()] = _yaml_value(val.strip())
+
+    return result
+
+
+def _yaml_value(s: str):
+    """转换单个 YAML 值"""
+    if not s:
+        return None
+    # 去除引号
+    if (s.startswith('"') and s.endswith('"')) or (s.startswith("'") and s.endswith("'")):
+        return s[1:-1]
+    if s.lower() in ('true', 'yes', 'on'):
+        return True
+    if s.lower() in ('false', 'no', 'off'):
+        return False
+    if s.lower() in ('null', 'none', '~'):
+        return None
+    try:
+        return int(s)
+    except ValueError:
+        pass
+    try:
+        return float(s)
+    except ValueError:
+        pass
+    return s
+
+
+def _load_yaml_file(path: str) -> dict:
+    """加载 YAML 文件"""
+    with open(path, 'r', encoding='utf-8') as f:
+        text = f.read()
+    try:
+        return _parse_yaml(text)
+    except ImportError:
+        return _parse_yaml_fallback(text)
+
+
+# ── 变量替换引擎 ──
+
+def _resolve_vars(text: str, context: dict) -> str:
+    """
+    替换 {{key}} 和 {{key.nested}} 形式的变量
+
+    支持:
+      {{var}}           → context['var']
+      {{step.output}}   → context['steps']['step']['output']
+      {{step.exit_code}} → context['steps']['step']['exit_code']
+      {{env.HOME}}      → os.environ['HOME']
+      {{args.name}}     → context['args']['name']
+    """
+    def replacer(match):
+        path = match.group(1).strip()
+        parts = path.split('.')
+
+        if parts[0] == 'env':
+            return os.environ.get('.'.join(parts[1:]), '')
+
+        if parts[0] == 'args' and len(parts) > 1:
+            val = context.get('args', {})
+            for p in parts[1:]:
+                if isinstance(val, dict):
+                    val = val.get(p, '')
+                else:
+                    return ''
+            return str(val)
+
+        if parts[0] == 'steps' and len(parts) >= 3:
+            step_name = parts[1]
+            attr = parts[2]
+            step_data = context.get('steps', {}).get(step_name, {})
+            val = step_data.get(attr, '')
+            # 支持 deeper nesting: {{steps.foo.output.field}}
+            for p in parts[3:]:
+                if isinstance(val, dict):
+                    val = val.get(p, '')
+                else:
+                    return ''
+            return str(val)
+
+        # 顶层变量
+        val = context
+        for p in parts:
+            if isinstance(val, dict):
+                val = val.get(p, '')
+            else:
+                return ''
+        return str(val)
+
+    return re.sub(r'\{\{(.+?)\}\}', replacer, text)
+
+
+def _resolve_value(val, context):
+    """递归解析值中的变量（支持 dict/list/str）"""
+    if isinstance(val, str):
+        return _resolve_vars(val, context)
+    elif isinstance(val, dict):
+        return {k: _resolve_value(v, context) for k, v in val.items()}
+    elif isinstance(val, list):
+        return [_resolve_value(item, context) for item in val]
+    return val
+
+
+# ── 工作流引擎 ──
+
+class WorkflowEngine:
+    """工作流执行引擎"""
+
+    def __init__(self, cli_instance=None):
+        self.cli = cli_instance
+        self.workflows_dir = "workflows"
+        self.state_dir = os.path.join(self.workflows_dir, ".state")
+        os.makedirs(self.state_dir, exist_ok=True)
+
+    def run(self, path: str, args: dict = None) -> str:
+        """执行工作流"""
+        if not os.path.exists(path):
+            return f"❌ 工作流文件不存在: {path}"
+
+        try:
+            wf = _load_yaml_file(path)
+        except Exception as e:
+            return f"❌ 解析工作流文件失败: {e}"
+
+        wf_name = wf.get('name', os.path.basename(path).replace('.yaml', '').replace('.yml', ''))
+        steps = wf.get('steps', [])
+        if not steps:
+            return f"❌ 工作流 '{wf_name}' 没有步骤"
+
+        wf_id = f"{wf_name}-{uuid.uuid4().hex[:8]}"
+        context = {
+            'args': args or {},
+            'steps': {},
+            'workflow': {
+                'id': wf_id,
+                'name': wf_name,
+                'path': path,
+                'started_at': datetime.now().isoformat(),
+            }
+        }
+
+        # 保存初始状态
+        self._save_state(wf_id, {
+            'workflow': wf_name,
+            'path': path,
+            'status': 'running',
+            'current_step': 0,
+            'context': context,
+            'started_at': context['workflow']['started_at'],
+        })
+
+        print(f"\n{Fore.CYAN}🔄 工作流 '{wf_name}' 开始 (ID: {wf_id}){Style.RESET_ALL}")
+        print(f"   共 {len(steps)} 个步骤\n")
+
+        failed = False
+        for i, step in enumerate(steps):
+            step_name = step.get('name', f'step_{i+1}')
+            step_type = step.get('type', 'tool')
+            condition = step.get('if', None)
+            continue_on_error = step.get('continue_on_error', False)
+
+            # 检查条件
+            if condition:
+                resolved_condition = _resolve_vars(condition, context)
+                if not self._eval_condition(resolved_condition):
+                    print(f"  {Fore.YELLOW}⏭ [{step_name}] 条件不满足，跳过{Style.RESET_ALL}")
+                    context['steps'][step_name] = {
+                        'output': '', 'exit_code': 0, 'skipped': True
+                    }
+                    continue
+
+            # 解析步骤参数
+            resolved_step = _resolve_value(step, context)
+
+            print(f"  {Fore.CYAN}▶ [{step_name}] {step_type}{Style.RESET_ALL}")
+
+            # 更新状态
+            self._save_state(wf_id, {
+                'workflow': wf_name,
+                'path': path,
+                'status': 'running',
+                'current_step': i,
+                'current_step_name': step_name,
+                'context': context,
+                'started_at': context['workflow']['started_at'],
+            })
+
+            try:
+                result = self._execute_step(resolved_step, context)
+                context['steps'][step_name] = result
+
+                if result.get('exit_code', 0) == 0:
+                    output_preview = str(result.get('output', ''))[:100]
+                    print(f"  {Fore.GREEN}✓ [{step_name}] 完成{Style.RESET_ALL}"
+                          f"{' → ' + output_preview if output_preview else ''}")
+                else:
+                    failed = True
+                    print(f"  {Fore.RED}✗ [{step_name}] 失败 (exit={result.get('exit_code')}){Style.RESET_ALL}")
+                    print(f"    {result.get('error', result.get('output', ''))[:200]}")
+
+                    if not continue_on_error:
+                        # 检查 on_fail 分支
+                        on_fail = resolved_step.get('on_fail')
+                        if on_fail:
+                            print(f"  {Fore.YELLOW}→ 执行 on_fail 分支{Style.RESET_ALL}")
+                            self._execute_on_fail(on_fail, context)
+                        break
+                    else:
+                        print(f"  {Fore.YELLOW}⚠ continue_on_error=true，继续{Style.RESET_ALL}")
+
+            except Exception as e:
+                failed = True
+                context['steps'][step_name] = {
+                    'output': '', 'exit_code': 1, 'error': str(e)
+                }
+                print(f"  {Fore.RED}✗ [{step_name}] 异常: {e}{Style.RESET_ALL}")
+                if not continue_on_error:
+                    break
+
+        # 完成状态
+        status = 'failed' if failed else 'completed'
+        context['workflow']['finished_at'] = datetime.now().isoformat()
+        context['workflow']['status'] = status
+
+        self._save_state(wf_id, {
+            'workflow': wf_name,
+            'path': path,
+            'status': status,
+            'current_step': len(steps),
+            'context': context,
+            'started_at': context['workflow']['started_at'],
+            'finished_at': context['workflow']['finished_at'],
+        })
+
+        icon = '✅' if not failed else '❌'
+        print(f"\n{icon} 工作流 '{wf_name}' {status} (ID: {wf_id})")
+        return f"{icon} 工作流 '{wf_name}' {status}"
+
+    def resume(self, wf_id: str) -> str:
+        """从断点恢复执行工作流"""
+        state = self._load_state(wf_id)
+        if not state:
+            return f"❌ 未找到工作流状态: {wf_id}"
+
+        if state.get('status') == 'completed':
+            return f"ℹ️ 工作流已完成: {wf_id}"
+
+        path = state.get('path', '')
+        if not os.path.exists(path):
+            return f"❌ 工作流文件不存在: {path}"
+
+        try:
+            wf = _load_yaml_file(path)
+        except Exception as e:
+            return f"❌ 解析工作流文件失败: {e}"
+
+        steps = wf.get('steps', [])
+        start_from = state.get('current_step', 0)
+        context = state.get('context', {})
+
+        print(f"\n{Fore.CYAN}🔄 恢复工作流 '{wf.get('name', wf_id)}' 从步骤 {start_from + 1}{Style.RESET_ALL}")
+
+        failed = False
+        for i in range(start_from, len(steps)):
+            step = steps[i]
+            step_name = step.get('name', f'step_{i+1}')
+            step_type = step.get('type', 'tool')
+            continue_on_error = step.get('continue_on_error', False)
+
+            resolved_step = _resolve_value(step, context)
+            print(f"  {Fore.CYAN}▶ [{step_name}] {step_type}{Style.RESET_ALL}")
+
+            try:
+                result = self._execute_step(resolved_step, context)
+                context['steps'][step_name] = result
+
+                if result.get('exit_code', 0) == 0:
+                    print(f"  {Fore.GREEN}✓ [{step_name}] 完成{Style.RESET_ALL}")
+                else:
+                    failed = True
+                    print(f"  {Fore.RED}✗ [{step_name}] 失败{Style.RESET_ALL}")
+                    if not continue_on_error:
+                        break
+            except Exception as e:
+                failed = True
+                context['steps'][step_name] = {'output': '', 'exit_code': 1, 'error': str(e)}
+                print(f"  {Fore.RED}✗ [{step_name}] 异常: {e}{Style.RESET_ALL}")
+                if not continue_on_error:
+                    break
+
+        status = 'failed' if failed else 'completed'
+        self._save_state(wf_id, {**state, 'status': status, 'current_step': len(steps)})
+
+        return f"{'✅' if not failed else '❌'} 工作流 {status}"
+
+    def list_workflows(self) -> str:
+        """列出所有工作流文件"""
+        if not os.path.exists(self.workflows_dir):
+            return "📁 workflows/ 目录不存在"
+
+        files = [f for f in os.listdir(self.workflows_dir)
+                 if f.endswith(('.yaml', '.yml')) and not f.startswith('.')]
+
+        if not files:
+            return "📁 workflows/ 目录中没有工作流文件"
+
+        result = f"📁 工作流列表 ({len(files)} 个):\n"
+        for f in sorted(files):
+            path = os.path.join(self.workflows_dir, f)
+            try:
+                wf = _load_yaml_file(path)
+                name = wf.get('name', f.replace('.yaml', '').replace('.yml', ''))
+                desc = wf.get('description', '')
+                steps_count = len(wf.get('steps', []))
+                result += f"  📄 {f}\n"
+                result += f"     名称: {name}  步骤: {steps_count}\n"
+                if desc:
+                    result += f"     描述: {desc}\n"
+            except Exception:
+                result += f"  📄 {f} (解析失败)\n"
+        return result
+
+    def status(self, wf_id: str) -> str:
+        """查看工作流状态"""
+        state = self._load_state(wf_id)
+        if not state:
+            return f"❌ 未找到工作流: {wf_id}"
+
+        ctx = state.get('context', {})
+        wf_info = ctx.get('workflow', {})
+        steps_done = ctx.get('steps', {})
+
+        lines = [
+            f"📋 工作流: {state.get('workflow', '?')}",
+            f"   ID: {wf_id}",
+            f"   状态: {state.get('status', '?')}",
+            f"   进度: 步骤 {state.get('current_step', 0)}",
+            f"   开始: {state.get('started_at', '?')}",
+        ]
+        if state.get('finished_at'):
+            lines.append(f"   结束: {state['finished_at']}")
+
+        if steps_done:
+            lines.append(f"   已完成步骤:")
+            for name, data in steps_done.items():
+                icon = '✓' if data.get('exit_code', 0) == 0 else ('⏭' if data.get('skipped') else '✗')
+                lines.append(f"     {icon} {name}")
+
+        return '\n'.join(lines)
+
+    def list_states(self) -> str:
+        """列出所有工作流运行状态"""
+        if not os.path.exists(self.state_dir):
+            return "没有工作流运行记录"
+
+        files = [f for f in os.listdir(self.state_dir) if f.endswith('.json')]
+        if not files:
+            return "没有工作流运行记录"
+
+        result = f"📋 工作流运行记录 ({len(files)} 个):\n"
+        for f in sorted(files, reverse=True)[:20]:
+            wf_id = f.replace('.json', '')
+            try:
+                with open(os.path.join(self.state_dir, f), 'r') as fh:
+                    state = json.load(fh)
+                status_icon = {'running': '🔄', 'completed': '✅', 'failed': '❌'}.get(state.get('status'), '❓')
+                result += f"  {status_icon} {wf_id} — {state.get('workflow', '?')} ({state.get('status', '?')})\n"
+            except Exception:
+                result += f"  ❓ {wf_id}\n"
+        return result
+
+    def abort(self, wf_id: str) -> str:
+        """中止工作流"""
+        state = self._load_state(wf_id)
+        if not state:
+            return f"❌ 未找到工作流: {wf_id}"
+
+        state['status'] = 'aborted'
+        self._save_state(wf_id, state)
+        return f"🛑 工作流已中止: {wf_id}"
+
+    # ── 步骤执行 ──
+
+    def _execute_step(self, step: dict, context: dict) -> dict:
+        """执行单个步骤"""
+        step_type = step.get('type', 'tool')
+
+        if step_type == 'tool':
+            return self._exec_tool_step(step, context)
+        elif step_type == 'shell':
+            return self._exec_shell_step(step, context)
+        elif step_type == 'set':
+            return self._exec_set_step(step, context)
+        elif step_type == 'echo':
+            return self._exec_echo_step(step, context)
+        elif step_type == 'wait':
+            return self._exec_wait_step(step, context)
+        elif step_type == 'if':
+            return self._exec_if_step(step, context)
+        else:
+            return {'output': '', 'exit_code': 1, 'error': f'未知步骤类型: {step_type}'}
+
+    def _exec_tool_step(self, step: dict, context: dict) -> dict:
+        """执行插件工具步骤"""
+        tool_name = step.get('tool', '')
+        tool_args = step.get('args', '')
+
+        if not tool_name:
+            return {'output': '', 'exit_code': 1, 'error': '未指定 tool 名称'}
+
+        if not self.cli:
+            return {'output': '', 'exit_code': 1, 'error': 'CLI 实例不可用'}
+
+        try:
+            # 获取工具管理器
+            tool_mgr = getattr(self.cli, 'tool_manager', None) or getattr(self.cli, 'liugin_manager', None)
+            if not tool_mgr:
+                return {'output': '', 'exit_code': 1, 'error': '工具管理器不可用'}
+
+            # 解析参数
+            args_str = str(tool_args) if tool_args else ''
+
+            # 调用工具
+            if hasattr(tool_mgr, 'execute'):
+                result = tool_mgr.execute(tool_name, args_str)
+                output = result.get('result', '') if isinstance(result, dict) else str(result)
+            elif hasattr(tool_mgr, 'tools'):
+                # LiuginManager 兼容
+                tool = tool_mgr.get_tool_by_name(tool_name)
+                if tool and 'handler' in tool:
+                    output = tool['handler'](args_str)
+                else:
+                    return {'output': '', 'exit_code': 1, 'error': f'未找到工具: {tool_name}'}
+            else:
+                return {'output': '', 'exit_code': 1, 'error': '无法调用工具'}
+
+            return {'output': str(output), 'exit_code': 0}
+
+        except Exception as e:
+            return {'output': '', 'exit_code': 1, 'error': str(e)}
+
+    def _exec_shell_step(self, step: dict, context: dict) -> dict:
+        """执行 shell 命令步骤"""
+        import subprocess
+
+        cmd = step.get('command', step.get('cmd', ''))
+        if not cmd:
+            return {'output': '', 'exit_code': 1, 'error': '未指定 command'}
+
+        cwd = step.get('cwd', None)
+        timeout = step.get('timeout', 60)
+
+        try:
+            result = subprocess.run(
+                cmd, shell=True, capture_output=True, text=True,
+                timeout=timeout, cwd=cwd
+            )
+            return {
+                'output': result.stdout.strip(),
+                'error': result.stderr.strip(),
+                'exit_code': result.returncode,
+            }
+        except subprocess.TimeoutExpired:
+            return {'output': '', 'exit_code': 1, 'error': f'命令超时 ({timeout}s)'}
+        except Exception as e:
+            return {'output': '', 'exit_code': 1, 'error': str(e)}
+
+    def _exec_set_step(self, step: dict, context: dict) -> dict:
+        """设置变量步骤"""
+        variables = step.get('variables', step.get('vars', {}))
+        for key, val in variables.items():
+            context[key] = _resolve_value(val, context)
+        return {'output': f'设置 {len(variables)} 个变量', 'exit_code': 0}
+
+    def _exec_echo_step(self, step: dict, context: dict) -> dict:
+        """打印步骤"""
+        message = step.get('message', step.get('text', ''))
+        resolved = _resolve_vars(str(message), context)
+        print(f"    💬 {resolved}")
+        return {'output': resolved, 'exit_code': 0}
+
+    def _exec_wait_step(self, step: dict, context: dict) -> dict:
+        """等待步骤"""
+        seconds = step.get('seconds', step.get('time', 1))
+        time.sleep(seconds)
+        return {'output': f'等待 {seconds} 秒', 'exit_code': 0}
+
+    def _exec_if_step(self, step: dict, context: dict) -> dict:
+        """条件分支步骤"""
+        condition = step.get('condition', '')
+        resolved = _resolve_vars(str(condition), context)
+
+        if self._eval_condition(resolved):
+            then_steps = step.get('then', [])
+            return self._run_sub_steps(then_steps, context)
+        else:
+            else_steps = step.get('else', [])
+            if else_steps:
+                return self._run_sub_steps(else_steps, context)
+            return {'output': '条件不满足，无 else 分支', 'exit_code': 0}
+
+    def _run_sub_steps(self, steps: list, context: dict) -> dict:
+        """执行子步骤列表"""
+        outputs = []
+        for sub_step in steps:
+            result = self._execute_step(sub_step, context)
+            outputs.append(result.get('output', ''))
+            if result.get('exit_code', 0) != 0:
+                return result
+        return {'output': '\n'.join(outputs), 'exit_code': 0}
+
+    def _eval_condition(self, condition: str) -> bool:
+        """评估条件表达式"""
+        condition = condition.strip()
+        if not condition:
+            return True
+
+        # 简单比较: "value == expected"
+        for op in ['==', '!=', '>=', '<=', '>', '<']:
+            if op in condition:
+                left, _, right = condition.partition(op)
+                left = left.strip().strip('"').strip("'")
+                right = right.strip().strip('"').strip("'")
+                try:
+                    left_n, right_n = float(left), float(right)
+                    if op == '==': return left_n == right_n
+                    if op == '!=': return left_n != right_n
+                    if op == '>=': return left_n >= right_n
+                    if op == '<=': return left_n <= right_n
+                    if op == '>': return left_n > right_n
+                    if op == '<': return left_n < right_n
+                except ValueError:
+                    if op == '==': return left == right
+                    if op == '!=': return left != right
+
+        # 布尔值
+        if condition.lower() in ('true', '1', 'yes'):
+            return True
+        if condition.lower() in ('false', '0', 'no', ''):
+            return False
+
+        # 非空即真
+        return bool(condition)
+
+    def _execute_on_fail(self, on_fail, context: dict):
+        """执行 on_fail 处理"""
+        if isinstance(on_fail, str):
+            print(f"    💬 {on_fail}")
+        elif isinstance(on_fail, list):
+            for step in on_fail:
+                self._execute_step(step, context)
+
+    # ── 状态持久化 ──
+
+    def _save_state(self, wf_id: str, state: dict):
+        """保存工作流状态"""
+        path = os.path.join(self.state_dir, f"{wf_id}.json")
+        try:
+            with open(path, 'w', encoding='utf-8') as f:
+                json.dump(state, f, ensure_ascii=False, indent=2, default=str)
+        except Exception as e:
+            print(f"{Fore.YELLOW}⚠ 保存状态失败: {e}{Style.RESET_ALL}")
+
+    def _load_state(self, wf_id: str) -> dict:
+        """加载工作流状态"""
+        path = os.path.join(self.state_dir, f"{wf_id}.json")
+        if not os.path.exists(path):
+            return {}
+        try:
+            with open(path, 'r', encoding='utf-8') as f:
+                return json.load(f)
+        except Exception:
+            return {}
+
+
+# ── Liugin 插件接口 ──
+
+class Liugin:
+    """工作流插件"""
+
+    def __init__(self):
+        self.engine = None
+        self.usage = """工作流工具使用方法：
+
+JSON格式示例：
+{"action": "use_tool", "tool": "workflow", "args": "run deploy.yaml"} - 执行工作流
+{"action": "use_tool", "tool": "workflow", "args": "list"} - 列出工作流文件
+{"action": "use_tool", "tool": "workflow", "args": "states"} - 查看运行记录
+{"action": "use_tool", "tool": "workflow", "args": "status <id>"} - 查看状态
+{"action": "use_tool", "tool": "workflow", "args": "resume <id>"} - 恢复执行
+{"action": "use_tool", "tool": "workflow", "args": "abort <id>"} - 中止工作流
+
+工作流 YAML 格式示例：
+name: deploy
+description: 部署流程
+steps:
+  - name: lint
+    type: shell
+    command: "npm run lint"
+  - name: test
+    type: shell
+    command: "npm test"
+    continue_on_error: true
+  - name: build
+    type: shell
+    command: "npm run build"
+    if: "{{test.exit_code}} == 0"
+  - name: notify
+    type: echo
+    message: "构建完成: {{build.output}}"
+
+支持的步骤类型:
+  - tool: 调用插件工具 (tool, args)
+  - shell: 执行系统命令 (command, cwd, timeout)
+  - echo: 打印消息 (message)
+  - wait: 等待 (seconds)
+  - set: 设置变量 (variables)
+  - if: 条件分支 (condition, then, else)
+
+变量引用:
+  {{steps.step_name.output}}  - 步骤输出
+  {{steps.step_name.exit_code}} - 步骤退出码
+  {{env.VAR_NAME}} - 环境变量
+  {{args.param}} - 工作流参数"""
+
+    def set_cli(self, cli):
+        self.cli = cli
+        self.engine = WorkflowEngine(cli)
+        cli.register_liugin_command('workflow', self.command_handler)
+        cli.register_liugin_command('wf', self.command_handler)
+
+    def command_handler(self, args):
+        return self.handle(args)
+
+    def get_tool_info(self):
+        return {
+            "name": "workflow",
+            "description": "工作流引擎 - YAML 定义的多步骤自动化流程，支持变量传递、条件分支、断点续跑",
+            "keywords": ["workflow", "工作流", "流程", "自动化", "pipeline", "deploy", "build", "run"],
+            "usage": self.usage
+        }
+
+    def get_mcp_definition(self):
+        return {
+            "name": "workflow",
+            "description": "工作流引擎 - 执行、管理 YAML 定义的自动化工作流",
+            "inputSchema": {
+                "type": "object",
+                "properties": {
+                    "operation": {
+                        "type": "string",
+                        "enum": ["run", "list", "states", "status", "resume", "abort"],
+                        "description": "操作类型"
+                    },
+                    "target": {
+                        "type": "string",
+                        "description": "工作流文件路径(run) 或工作流ID(status/resume/abort)"
+                    },
+                    "args": {
+                        "type": "object",
+                        "description": "工作流参数 (run 时使用)"
+                    }
+                },
+                "required": ["operation"]
+            }
+        }
+
+    def convert_mcp_args(self, arguments):
+        op = arguments.get("operation", "")
+        target = arguments.get("target", "")
+        args = arguments.get("args", "")
+        if args and isinstance(args, dict):
+            args_str = ' '.join(f'{k}={v}' for k, v in args.items())
+            return f"{op} {target} {args_str}".strip()
+        return f"{op} {target}".strip()
+
+    def handle(self, args):
+        try:
+            args = args.strip()
+            if not args:
+                return self.usage
+
+            parts = args.split(None, 2)
+            action = parts[0].lower()
+
+            if action == 'run':
+                if len(parts) < 2:
+                    return "❌ 请指定工作流文件: workflow run <file.yaml>"
+                path = parts[1]
+                # 解析内联参数
+                wf_args = {}
+                if len(parts) > 2:
+                    for part in parts[2].split():
+                        if '=' in part:
+                            k, v = part.split('=', 1)
+                            wf_args[k] = v
+                return self.engine.run(path, wf_args)
+
+            elif action == 'list':
+                return self.engine.list_workflows()
+
+            elif action == 'states':
+                return self.engine.list_states()
+
+            elif action == 'status':
+                if len(parts) < 2:
+                    return "❌ 请指定工作流 ID: workflow status <id>"
+                return self.engine.status(parts[1])
+
+            elif action == 'resume':
+                if len(parts) < 2:
+                    return "❌ 请指定工作流 ID: workflow resume <id>"
+                return self.engine.resume(parts[1])
+
+            elif action == 'abort':
+                if len(parts) < 2:
+                    return "❌ 请指定工作流 ID: workflow abort <id>"
+                return self.engine.abort(parts[1])
+
+            else:
+                # 默认当作 run
+                if os.path.exists(action):
+                    return self.engine.run(action)
+                return f"❌ 未知操作: {action}\n\n{self.usage}"
+
+        except Exception as e:
+            return f"❌ 工作流操作错误: {e}"