mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-02-14 02:42:04 +08:00
- Introduced a comprehensive code analysis action template for integrating code exploration and analysis capabilities. - Added LLM action template for seamless integration of LLM calls with customizable prompts and tools. - Implemented a benchmark search script to compare multiple search methods across various dimensions including speed, result quality, ranking stability, and coverage. - Provided preset configurations for common analysis tasks and LLM actions, enhancing usability and flexibility.
803 lines
22 KiB
Markdown
803 lines
22 KiB
Markdown
# Phase 3: Phase Generation
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根据执行模式生成 Phase 文件,包含声明式工作流编排和上下文策略支持。
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## Objective
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- Sequential 模式:生成顺序 Phase 文件 + **声明式编排器**
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- Autonomous 模式:生成编排器和动作文件
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- 支持 **文件上下文** 和 **内存上下文** 两种策略
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## Input
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- 依赖: `skill-config.json`, SKILL.md (Phase 1-2 产出)
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- 模板: `templates/sequential-phase.md`, `templates/autonomous-*.md`
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## 上下文策略 (P0 增强)
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根据 `config.context_strategy` 生成不同的上下文管理代码:
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| 策略 | 适用场景 | 优点 | 缺点 |
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|------|----------|------|------|
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| `file` | 复杂多阶段任务 | 持久化、可调试、可恢复 | IO 开销 |
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| `memory` | 简单线性任务 | 速度快 | 无法恢复、调试困难 |
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```javascript
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const CONTEXT_STRATEGIES = {
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file: {
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read: (key) => `JSON.parse(Read(\`\${workDir}/context/${key}.json\`))`,
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write: (key, data) => `Write(\`\${workDir}/context/${key}.json\`, JSON.stringify(${data}, null, 2))`,
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init: `Bash(\`mkdir -p "\${workDir}/context"\`)`
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},
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memory: {
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read: (key) => `state.context.${key}`,
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write: (key, data) => `state.context.${key} = ${data}`,
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init: `state.context = {}`
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}
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};
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```
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## Execution Steps
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### Step 1: 读取配置和模板
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```javascript
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const config = JSON.parse(Read(`${workDir}/skill-config.json`));
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const skillDir = `.claude/skills/${config.skill_name}`;
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const contextStrategy = config.context_strategy || 'file'; // 默认文件策略
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// 读取模板
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const skillRoot = '.claude/skills/skill-generator';
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```
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### Step 2: Sequential 模式 - 生成阶段文件 + 声明式编排器
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```javascript
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if (config.execution_mode === 'sequential') {
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const phases = config.sequential_config.phases;
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// ========== P0 增强: 生成声明式编排器 ==========
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const workflowOrchestrator = generateSequentialOrchestrator(config, phases);
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Write(`${skillDir}/phases/_orchestrator.md`, workflowOrchestrator);
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// ========== P0 增强: 生成工作流定义 ==========
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const workflowDef = generateWorkflowDefinition(config, phases);
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Write(`${skillDir}/workflow.json`, JSON.stringify(workflowDef, null, 2));
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// 生成各阶段文件
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for (let i = 0; i < phases.length; i++) {
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const phase = phases[i];
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const prevPhase = i > 0 ? phases[i-1] : null;
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const nextPhase = i < phases.length - 1 ? phases[i+1] : null;
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const content = generateSequentialPhase({
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phaseNumber: i + 1,
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phaseId: phase.id,
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phaseName: phase.name,
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phaseDescription: phase.description || `Execute ${phase.name}`,
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input: prevPhase ? prevPhase.output : "user input",
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output: phase.output,
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nextPhase: nextPhase ? nextPhase.id : null,
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config: config,
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contextStrategy: contextStrategy
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});
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Write(`${skillDir}/phases/${phase.id}.md`, content);
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}
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}
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// ========== P0 增强: 声明式工作流定义 ==========
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function generateWorkflowDefinition(config, phases) {
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return {
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skill_name: config.skill_name,
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version: "1.0.0",
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execution_mode: "sequential",
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context_strategy: config.context_strategy || "file",
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// 声明式阶段列表 (类似 software-manual 的 agents_to_run)
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phases_to_run: phases.map(p => p.id),
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// 阶段配置
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phases: phases.map((p, i) => ({
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id: p.id,
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name: p.name,
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order: i + 1,
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input: i > 0 ? phases[i-1].output : null,
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output: p.output,
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// 可选的并行配置
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parallel: p.parallel || false,
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// 可选的条件执行
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condition: p.condition || null,
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// Agent 配置
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agent: p.agent || {
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type: "universal-executor",
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run_in_background: false
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}
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})),
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// 终止条件
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termination: {
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on_success: "all_phases_completed",
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on_error: "stop_and_report",
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max_retries: 3
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}
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};
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}
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// ========== P0 增强: 声明式编排器 ==========
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function generateSequentialOrchestrator(config, phases) {
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return `# Sequential Orchestrator
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声明式工作流编排器,按 \`workflow.json\` 定义顺序执行阶段。
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## 工作流定义
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\`\`\`javascript
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const workflow = JSON.parse(Read(\`\${skillDir}/workflow.json\`));
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\`\`\`
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## 编排逻辑
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\`\`\`javascript
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async function runSequentialWorkflow(workDir) {
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const workflow = JSON.parse(Read(\`\${skillDir}/workflow.json\`));
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const contextStrategy = workflow.context_strategy;
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// 初始化上下文
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${config.context_strategy === 'file' ?
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`Bash(\`mkdir -p "\${workDir}/context"\`);` :
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`const state = { context: {} };`}
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// 执行状态追踪
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const execution = {
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started_at: new Date().toISOString(),
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phases_completed: [],
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current_phase: null,
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errors: []
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};
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Write(\`\${workDir}/execution-state.json\`, JSON.stringify(execution, null, 2));
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// 按声明顺序执行阶段
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for (const phaseId of workflow.phases_to_run) {
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const phaseConfig = workflow.phases.find(p => p.id === phaseId);
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// 更新执行状态
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execution.current_phase = phaseId;
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Write(\`\${workDir}/execution-state.json\`, JSON.stringify(execution, null, 2));
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console.log(\`[Orchestrator] Executing: \${phaseId}\`);
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try {
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// 检查条件执行
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if (phaseConfig.condition) {
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const shouldRun = evaluateCondition(phaseConfig.condition, execution);
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if (!shouldRun) {
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console.log(\`[Orchestrator] Skipping \${phaseId} (condition not met)\`);
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continue;
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}
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}
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// 执行阶段
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const result = await executePhase(phaseId, phaseConfig, workDir);
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// 记录完成
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execution.phases_completed.push({
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id: phaseId,
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completed_at: new Date().toISOString(),
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output: phaseConfig.output
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});
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} catch (error) {
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execution.errors.push({
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phase: phaseId,
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message: error.message,
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timestamp: new Date().toISOString()
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});
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// 错误处理策略
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if (workflow.termination.on_error === 'stop_and_report') {
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console.error(\`[Orchestrator] Failed at \${phaseId}: \${error.message}\`);
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break;
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}
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}
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Write(\`\${workDir}/execution-state.json\`, JSON.stringify(execution, null, 2));
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}
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// 完成
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execution.current_phase = null;
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execution.completed_at = new Date().toISOString();
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Write(\`\${workDir}/execution-state.json\`, JSON.stringify(execution, null, 2));
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return execution;
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}
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async function executePhase(phaseId, phaseConfig, workDir) {
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const phasePrompt = Read(\`\${skillDir}/phases/\${phaseId}.md\`);
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// 使用 Task 调用 Agent
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const result = await Task({
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subagent_type: phaseConfig.agent?.type || 'universal-executor',
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run_in_background: phaseConfig.agent?.run_in_background || false,
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prompt: \`
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[PHASE] \${phaseId}
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[WORK_DIR] \${workDir}
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[INPUT] \${phaseConfig.input ? \`\${workDir}/\${phaseConfig.input}\` : 'None'}
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[OUTPUT] \${workDir}/\${phaseConfig.output}
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\${phasePrompt}
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\`
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});
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return JSON.parse(result);
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}
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\`\`\`
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## 阶段执行计划
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| Order | Phase | Input | Output | Agent |
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|-------|-------|-------|--------|-------|
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${phases.map((p, i) =>
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`| ${i+1} | ${p.id} | ${i > 0 ? phases[i-1].output : '-'} | ${p.output} | ${p.agent?.type || 'universal-executor'} |`
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).join('\n')}
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## 错误恢复
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\`\`\`javascript
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// 从指定阶段恢复执行
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async function resumeFromPhase(phaseId, workDir) {
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const workflow = JSON.parse(Read(\`\${skillDir}/workflow.json\`));
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const startIndex = workflow.phases_to_run.indexOf(phaseId);
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if (startIndex === -1) {
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throw new Error(\`Phase not found: \${phaseId}\`);
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}
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// 从指定阶段开始执行
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const remainingPhases = workflow.phases_to_run.slice(startIndex);
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// ...继续执行
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}
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\`\`\`
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`;
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}
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// 生成阶段文件(增强上下文策略支持)
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function generateSequentialPhase(params) {
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const contextCode = params.contextStrategy === 'file' ? {
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readPrev: `const prevOutput = JSON.parse(Read(\`\${workDir}/${params.input}\`));`,
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writeResult: `Write(\`\${workDir}/${params.output}\`, JSON.stringify(result, null, 2));`,
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readContext: (key) => `JSON.parse(Read(\`\${workDir}/context/${key}.json\`))`,
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writeContext: (key) => `Write(\`\${workDir}/context/${key}.json\`, JSON.stringify(data, null, 2))`
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} : {
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readPrev: `const prevOutput = state.context.prevPhaseOutput;`,
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writeResult: `state.context.${params.phaseId.replace(/-/g, '_')}_output = result;`,
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readContext: (key) => `state.context.${key}`,
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writeContext: (key) => `state.context.${key} = data`
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};
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return `# Phase ${params.phaseNumber}: ${params.phaseName}
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${params.phaseDescription}
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## Objective
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- 主要目标描述
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- 具体任务列表
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## Input
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- 依赖: \`${params.input}\`
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- 配置: \`{workDir}/skill-config.json\`
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- 上下文策略: \`${params.contextStrategy}\`
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## Execution Steps
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### Step 1: 读取输入
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\`\`\`javascript
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// 上下文策略: ${params.contextStrategy}
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${params.phaseNumber > 1 ? contextCode.readPrev : '// 首阶段,直接从配置开始'}
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\`\`\`
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### Step 2: 核心处理
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\`\`\`javascript
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// TODO: 实现核心逻辑
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const result = {
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status: 'completed',
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data: {
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// 处理结果
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},
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metadata: {
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phase: '${params.phaseId}',
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timestamp: new Date().toISOString()
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}
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};
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\`\`\`
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### Step 3: 输出结果
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\`\`\`javascript
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// 写入阶段产出 (上下文策略: ${params.contextStrategy})
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${contextCode.writeResult}
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// 返回简要信息给编排器
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return {
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status: 'completed',
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output_file: '${params.output}',
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summary: '阶段 ${params.phaseNumber} 完成'
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};
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\`\`\`
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## Output
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- **File**: \`${params.output}\`
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- **Format**: ${params.output.endsWith('.json') ? 'JSON' : 'Markdown'}
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- **Context Strategy**: ${params.contextStrategy}
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## Quality Checklist
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- [ ] 输入数据验证通过
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- [ ] 核心逻辑执行成功
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- [ ] 输出格式正确
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- [ ] 上下文正确保存
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${params.nextPhase ?
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`## Next Phase\n\n→ [Phase ${params.phaseNumber + 1}: ${params.nextPhase}](${params.nextPhase}.md)` :
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`## Completion\n\n此为最后阶段,输出最终产物。`}
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`;
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}
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```
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### Step 3: Autonomous 模式 - 生成编排器 (增强版)
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```javascript
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if (config.execution_mode === 'autonomous' || config.execution_mode === 'hybrid') {
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const contextStrategy = config.context_strategy || 'file';
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// 生成状态 Schema (增强文件策略支持)
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const stateSchema = generateStateSchema(config, contextStrategy);
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Write(`${skillDir}/phases/state-schema.md`, stateSchema);
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// 生成编排器 (增强版)
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const orchestrator = generateEnhancedOrchestrator(config, contextStrategy);
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Write(`${skillDir}/phases/orchestrator.md`, orchestrator);
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// 生成动作目录
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const actionCatalog = generateActionCatalog(config);
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Write(`${skillDir}/specs/action-catalog.md`, actionCatalog);
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// 生成动作文件
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for (const action of config.autonomous_config.actions) {
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const actionContent = generateEnhancedAction(action, config, contextStrategy);
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Write(`${skillDir}/phases/actions/${action.id}.md`, actionContent);
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}
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}
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// 增强版编排器生成
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function generateEnhancedOrchestrator(config, contextStrategy) {
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const actions = config.autonomous_config.actions;
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return `# Orchestrator (Enhanced)
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增强版编排器,支持声明式动作调度和文件上下文策略。
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## 配置
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- **上下文策略**: ${contextStrategy}
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- **终止条件**: ${config.autonomous_config.termination_conditions?.join(', ') || 'task_completed'}
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## 声明式动作目录
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\`\`\`javascript
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const ACTION_CATALOG = ${JSON.stringify(actions.map(a => ({
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id: a.id,
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name: a.name,
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preconditions: a.preconditions || [],
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effects: a.effects || [],
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priority: a.priority || 0
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})), null, 2)};
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\`\`\`
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## 上下文管理 (${contextStrategy} 策略)
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\`\`\`javascript
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const ContextManager = {
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${contextStrategy === 'file' ? `
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// 文件策略: 持久化到 .scratchpad
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init: (workDir) => {
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Bash(\`mkdir -p "\${workDir}/context"\`);
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Write(\`\${workDir}/state.json\`, JSON.stringify(initialState, null, 2));
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},
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readState: (workDir) => JSON.parse(Read(\`\${workDir}/state.json\`)),
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writeState: (workDir, state) => {
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state.updated_at = new Date().toISOString();
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Write(\`\${workDir}/state.json\`, JSON.stringify(state, null, 2));
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},
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readContext: (workDir, key) => {
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try {
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return JSON.parse(Read(\`\${workDir}/context/\${key}.json\`));
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} catch { return null; }
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},
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writeContext: (workDir, key, data) => {
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Write(\`\${workDir}/context/\${key}.json\`, JSON.stringify(data, null, 2));
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}` : `
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// 内存策略: 仅在运行时保持
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state: null,
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context: {},
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init: (workDir) => {
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ContextManager.state = { ...initialState };
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ContextManager.context = {};
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},
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readState: () => ContextManager.state,
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writeState: (workDir, state) => {
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state.updated_at = new Date().toISOString();
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ContextManager.state = state;
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},
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readContext: (workDir, key) => ContextManager.context[key],
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writeContext: (workDir, key, data) => {
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ContextManager.context[key] = data;
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}`}
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};
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\`\`\`
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## 决策逻辑
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\`\`\`javascript
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function selectNextAction(state) {
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// 1. 终止条件检查
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${config.autonomous_config.termination_conditions?.map(c =>
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` if (${getTerminationCheck(c)}) return null;`
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).join('\n') || ' if (state.status === "completed") return null;'}
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// 2. 错误限制检查
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if (state.error_count >= 3) return 'action-abort';
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// 3. 按优先级选择满足前置条件的动作
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const availableActions = ACTION_CATALOG
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.filter(a => checkPreconditions(a.preconditions, state))
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.filter(a => !state.completed_actions.includes(a.id))
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.sort((a, b) => b.priority - a.priority);
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if (availableActions.length > 0) {
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return availableActions[0].id;
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}
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// 4. 默认完成
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return 'action-complete';
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}
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function checkPreconditions(conditions, state) {
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if (!conditions || conditions.length === 0) return true;
|
|
return conditions.every(cond => {
|
|
// 支持多种条件格式
|
|
if (cond.includes('===')) {
|
|
const [left, right] = cond.split('===').map(s => s.trim());
|
|
return eval(\`state.\${left}\`) === eval(right);
|
|
}
|
|
return state[cond] === true;
|
|
});
|
|
}
|
|
\`\`\`
|
|
|
|
## 执行循环 (增强版)
|
|
|
|
\`\`\`javascript
|
|
async function runOrchestrator(workDir) {
|
|
console.log('=== Orchestrator Started ===');
|
|
console.log(\`Context Strategy: ${contextStrategy}\`);
|
|
|
|
// 初始化
|
|
ContextManager.init(workDir);
|
|
|
|
let iteration = 0;
|
|
const MAX_ITERATIONS = 100;
|
|
|
|
while (iteration < MAX_ITERATIONS) {
|
|
iteration++;
|
|
|
|
// 1. 读取状态
|
|
const state = ContextManager.readState(workDir);
|
|
console.log(\`[Iteration \${iteration}] Status: \${state.status}, Completed: \${state.completed_actions.length}\`);
|
|
|
|
// 2. 选择动作
|
|
const actionId = selectNextAction(state);
|
|
|
|
if (!actionId) {
|
|
console.log('=== All actions completed ===');
|
|
state.status = 'completed';
|
|
ContextManager.writeState(workDir, state);
|
|
break;
|
|
}
|
|
|
|
console.log(\`[Iteration \${iteration}] Executing: \${actionId}\`);
|
|
|
|
// 3. 更新当前动作
|
|
state.current_action = actionId;
|
|
ContextManager.writeState(workDir, state);
|
|
|
|
// 4. 执行动作
|
|
try {
|
|
const actionPrompt = Read(\`\${skillDir}/phases/actions/\${actionId}.md\`);
|
|
|
|
const result = await Task({
|
|
subagent_type: 'universal-executor',
|
|
run_in_background: false,
|
|
prompt: \`
|
|
[STATE]
|
|
\${JSON.stringify(state, null, 2)}
|
|
|
|
[WORK_DIR]
|
|
\${workDir}
|
|
|
|
[CONTEXT_STRATEGY]
|
|
${contextStrategy}
|
|
|
|
[ACTION]
|
|
\${actionPrompt}
|
|
|
|
[RETURN FORMAT]
|
|
Return JSON: { "status": "completed"|"failed", "stateUpdates": {...}, "summary": "..." }
|
|
\`
|
|
});
|
|
|
|
const actionResult = JSON.parse(result);
|
|
|
|
// 5. 更新状态
|
|
state.completed_actions.push(actionId);
|
|
state.current_action = null;
|
|
Object.assign(state, actionResult.stateUpdates || {});
|
|
|
|
console.log(\`[Iteration \${iteration}] Completed: \${actionResult.summary || actionId}\`);
|
|
|
|
} catch (error) {
|
|
console.error(\`[Iteration \${iteration}] Error: \${error.message}\`);
|
|
state.errors.push({
|
|
action: actionId,
|
|
message: error.message,
|
|
timestamp: new Date().toISOString()
|
|
});
|
|
state.error_count++;
|
|
state.current_action = null;
|
|
}
|
|
|
|
ContextManager.writeState(workDir, state);
|
|
}
|
|
|
|
console.log('=== Orchestrator Finished ===');
|
|
return ContextManager.readState(workDir);
|
|
}
|
|
\`\`\`
|
|
|
|
## 动作目录
|
|
|
|
| Action | Priority | Preconditions | Effects |
|
|
|--------|----------|---------------|---------|
|
|
${actions.map(a =>
|
|
`| [${a.id}](actions/${a.id}.md) | ${a.priority || 0} | ${a.preconditions?.join(', ') || '-'} | ${a.effects?.join(', ') || '-'} |`
|
|
).join('\n')}
|
|
|
|
## 调试与恢复
|
|
|
|
\`\`\`javascript
|
|
// 从特定状态恢复
|
|
async function resumeFromState(workDir) {
|
|
const state = ContextManager.readState(workDir);
|
|
console.log(\`Resuming from: \${state.current_action || 'start'}\`);
|
|
console.log(\`Completed actions: \${state.completed_actions.join(', ')}\`);
|
|
return runOrchestrator(workDir);
|
|
}
|
|
|
|
// 重试失败的动作
|
|
async function retryFailedAction(workDir) {
|
|
const state = ContextManager.readState(workDir);
|
|
if (state.errors.length > 0) {
|
|
const lastError = state.errors[state.errors.length - 1];
|
|
console.log(\`Retrying: \${lastError.action}\`);
|
|
state.error_count = Math.max(0, state.error_count - 1);
|
|
ContextManager.writeState(workDir, state);
|
|
return runOrchestrator(workDir);
|
|
}
|
|
}
|
|
\`\`\`
|
|
`;
|
|
}
|
|
|
|
// 增强版动作生成
|
|
function generateEnhancedAction(action, config, contextStrategy) {
|
|
return `# Action: ${action.name}
|
|
|
|
${action.description || '执行 ' + action.name + ' 操作'}
|
|
|
|
## Purpose
|
|
|
|
${action.description || 'TODO: 描述此动作的目的'}
|
|
|
|
## Preconditions
|
|
|
|
${action.preconditions?.map(p => `- [ ] \`${p}\``).join('\n') || '- [ ] 无特殊前置条件'}
|
|
|
|
## Context Access (${contextStrategy} 策略)
|
|
|
|
\`\`\`javascript
|
|
// 读取共享上下文
|
|
${contextStrategy === 'file' ?
|
|
`const sharedData = JSON.parse(Read(\`\${workDir}/context/shared.json\`));` :
|
|
`const sharedData = state.context.shared || {};`}
|
|
|
|
// 写入共享上下文
|
|
${contextStrategy === 'file' ?
|
|
`Write(\`\${workDir}/context/shared.json\`, JSON.stringify(updatedData, null, 2));` :
|
|
`state.context.shared = updatedData;`}
|
|
\`\`\`
|
|
|
|
## Execution
|
|
|
|
\`\`\`javascript
|
|
async function execute(state, workDir) {
|
|
// 1. 读取必要数据
|
|
${contextStrategy === 'file' ?
|
|
`const input = JSON.parse(Read(\`\${workDir}/context/input.json\`));` :
|
|
`const input = state.context.input || {};`}
|
|
|
|
// 2. 执行核心逻辑
|
|
// TODO: 实现动作逻辑
|
|
const result = {
|
|
// 处理结果
|
|
};
|
|
|
|
// 3. 保存结果 (${contextStrategy} 策略)
|
|
${contextStrategy === 'file' ?
|
|
`Write(\`\${workDir}/context/${action.id.replace(/-/g, '_')}_result.json\`, JSON.stringify(result, null, 2));` :
|
|
`// 结果通过 stateUpdates 返回`}
|
|
|
|
// 4. 返回状态更新
|
|
return {
|
|
status: 'completed',
|
|
stateUpdates: {
|
|
completed_actions: [...state.completed_actions, '${action.id}'],
|
|
${contextStrategy === 'memory' ? `context: { ...state.context, ${action.id.replace(/-/g, '_')}_result: result }` : '// 文件策略:结果已保存到文件'}
|
|
},
|
|
summary: '${action.name} 完成'
|
|
};
|
|
}
|
|
\`\`\`
|
|
|
|
## State Updates
|
|
|
|
\`\`\`javascript
|
|
return {
|
|
status: 'completed',
|
|
stateUpdates: {
|
|
completed_actions: [...state.completed_actions, '${action.id}'],
|
|
${action.effects?.map(e => ` // Effect: ${e}`).join('\n') || ' // 无额外效果'}
|
|
}
|
|
};
|
|
\`\`\`
|
|
|
|
## Error Handling
|
|
|
|
| 错误类型 | 处理方式 |
|
|
|----------|----------|
|
|
| 数据验证失败 | 返回错误,不更新状态 |
|
|
| 执行异常 | 记录错误,增加 error_count |
|
|
| 上下文读取失败 | 使用默认值或跳过 |
|
|
|
|
## Next Actions (Hints)
|
|
|
|
- 成功: 由编排器根据 \`ACTION_CATALOG\` 优先级决定
|
|
- 失败: 重试或 \`action-abort\`
|
|
`;
|
|
}
|
|
|
|
// 生成动作目录
|
|
function generateActionCatalog(config) {
|
|
const actions = config.autonomous_config.actions;
|
|
|
|
return `# Action Catalog
|
|
|
|
${config.display_name} 的可用动作目录(声明式)。
|
|
|
|
## 动作定义
|
|
|
|
\`\`\`json
|
|
${JSON.stringify(actions.map(a => ({
|
|
id: a.id,
|
|
name: a.name,
|
|
description: a.description,
|
|
preconditions: a.preconditions || [],
|
|
effects: a.effects || [],
|
|
priority: a.priority || 0
|
|
})), null, 2)}
|
|
\`\`\`
|
|
|
|
## 动作依赖图
|
|
|
|
\`\`\`mermaid
|
|
graph TD
|
|
${actions.map((a, i) => {
|
|
const deps = a.preconditions?.filter(p => p.startsWith('completed_actions.includes'))
|
|
.map(p => p.match(/'([^']+)'/)?.[1])
|
|
.filter(Boolean) || [];
|
|
|
|
if (deps.length === 0 && i === 0) {
|
|
return ` START((Start)) --> ${a.id.replace(/-/g, '_')}[${a.name}]`;
|
|
} else if (deps.length > 0) {
|
|
return deps.map(d => ` ${d.replace(/-/g, '_')} --> ${a.id.replace(/-/g, '_')}[${a.name}]`).join('\n');
|
|
}
|
|
return '';
|
|
}).filter(Boolean).join('\n')}
|
|
${actions[actions.length-1]?.id.replace(/-/g, '_') || 'last'} --> END((End))
|
|
\`\`\`
|
|
|
|
## 选择优先级
|
|
|
|
| Priority | Action | Description |
|
|
|----------|--------|-------------|
|
|
${actions.sort((a, b) => (b.priority || 0) - (a.priority || 0)).map(a =>
|
|
`| ${a.priority || 0} | ${a.id} | ${a.description || a.name} |`
|
|
).join('\n')}
|
|
`;
|
|
}
|
|
```
|
|
|
|
### Step 4: 辅助函数
|
|
|
|
```javascript
|
|
function toPascalCase(str) {
|
|
return str.split('-').map(s => s.charAt(0).toUpperCase() + s.slice(1)).join('');
|
|
}
|
|
|
|
function getDefaultValue(type) {
|
|
if (type.endsWith('[]')) return '[]';
|
|
if (type === 'number') return '0';
|
|
if (type === 'boolean') return 'false';
|
|
if (type === 'string') return '""';
|
|
return '{}';
|
|
}
|
|
|
|
function getTerminationCheck(condition) {
|
|
const checks = {
|
|
'user_exit': 'state.status === "user_exit"',
|
|
'error_limit': 'state.error_count >= 3',
|
|
'task_completed': 'state.status === "completed"',
|
|
'max_iterations': 'iteration >= MAX_ITERATIONS'
|
|
};
|
|
return checks[condition] || `state.${condition}`;
|
|
}
|
|
|
|
function getPreconditionCheck(action) {
|
|
if (!action.preconditions?.length) return 'true';
|
|
return action.preconditions.map(p => `state.${p}`).join(' && ');
|
|
}
|
|
```
|
|
|
|
## Output
|
|
|
|
### Sequential 模式
|
|
|
|
- `phases/_orchestrator.md` (声明式编排器)
|
|
- `workflow.json` (工作流定义)
|
|
- `phases/01-{step}.md`, `02-{step}.md`, ...
|
|
|
|
### Autonomous 模式
|
|
|
|
- `phases/orchestrator.md` (增强版编排器)
|
|
- `phases/state-schema.md`
|
|
- `specs/action-catalog.md` (声明式动作目录)
|
|
- `phases/actions/action-{name}.md` (多个)
|
|
|
|
## Next Phase
|
|
|
|
→ [Phase 4: Specs & Templates](04-specs-templates.md)
|