How do I install the Goal Decomposer skill?

Run npx skillmds@latest add lord1egypt/goal-decomposer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Goal Decomposer skill do?

将高层自然语言目标拆解为可执行的多层级任务列表。触发场景：用户给出模糊目标需要具体执行步骤、复杂任务需要拆解、需要生成任务树。 It is listed under Coding & Dev Tools on SkillMD.

Is Goal Decomposer safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Goal Decomposer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Goal Decomposer free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Goal Decomposer?

Lord1Egypt (@lord1egypt) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Goal Decomposer by lord1egypt — Agent Skill

Name: Goal Decomposer
Rating: 4.666666666666667 (3 reviews)
Author: Lord1Egypt

File contents

Goal Decomposer Skill

核心能力

将用户自然语言描述的目标，自动拆解为结构化的任务树：

用户目标："我想做个产品调研"
    ↓
任务树：
├─ Task 1: 确定调研范围
│  ├─ 1.1 明确产品类别
│  └─ 1.2 确定目标市场
├─ Task 2: 收集数据
│  ├─ 2.1 搜索竞品信息
│  └─ 2.2 整理市场数据
└─ Task 3: 生成报告
   ├─ 3.1 分析优劣势
   └─ 3.2 输出结论

设计原则

MECE原则：任务互斥完全穷尽
可执行性：每个子任务可独立执行
层级清晰：不超过3层深度
优先级排序：标注P0/P1/P2

输入格式

{
  "goal": "用户自然语言目标",
  "context": "背景信息（可选）",
  "constraints": ["约束条件（可选）"]
}

输出格式

{
  "root_goal": "原目标",
  "tasks": [
    {
      "id": "T1",
      "title": "任务标题",
      "priority": "P0",
      "children": [
        {"id": "T1.1", "title": "子任务", "priority": "P0"}
      ],
      "spawn_hint": "建议spawn方式（可选）"
    }
  ],
  "execution_order": ["T1", "T2", "T3"]
}

使用方式

# 方式1：直接调用
import json
result = decompose_goal("做个产品调研")

# 方式2：通过sessions_spawn
sessions_spawn(agentId="goal-decomposer", task="拆解目标：做个产品调研")

与现有能力集成

能力	集成方式
RESOLVER	任务生成后路由到对应skill
sessions_spawn	子任务可独立spawn执行
AUTO-FIX	拆解失败触发修复
web-access	调研类任务联网获取数据

实现脚本

见 scripts/decompose.py

⚠️ 常见坑

症状	原因	解决办法
拆解层级不清	目标表述模糊	明确"做什么+为什么做"
任务过于碎片	缺少MECE检查	启用MECE验证开关
依赖关系缺失	未标注前提任务	检查是否需要前置条件
执行顺序混乱	依赖标注遗漏	补充"depends_on"字段

---name: goal-decomposerdescription: 将高层自然语言目标拆解为可执行的多层级任务列表。触发场景：用户给出模糊目标需要具体执行步骤、复杂任务需要拆解、需要生成任务树。---# Goal Decomposer Skill## 核心能力将用户自然语言描述的目标，自动拆解为结构化的任务树：```用户目标："我想做个产品调研" ↓任务树：├─ Task 1: 确定调研范围│ ├─ 1.1 明确产品类别│ └─ 1.2 确定目标市场├─ Task 2: 收集数据│ ├─ 2.1 搜索竞品信息│ └─ 2.2 整理市场数据└─ Task 3: 生成报告 ├─ 3.1 分析优劣势 └─ 3.2 输出结论```## 设计原则1. **MECE原则**：任务互斥完全穷尽2. **可执行性**：每个子任务可独立执行3. **层级清晰**：不超过3层深度4. **优先级排序**：标注P0/P1/P2## 输入格式```json{ "goal": "用户自然语言目标", "context": "背景信息（可选）", "constraints": ["约束条件（可选）"]}```## 输出格式```json{ "root_goal": "原目标", "tasks": [ { "id": "T1", "title": "任务标题", "priority": "P0", "children": [ {"id": "T1.1", "title": "子任务", "priority": "P0"} ], "spawn_hint": "建议spawn方式（可选）" } ], "execution_order": ["T1", "T2", "T3"]}```## 使用方式```python# 方式1：直接调用import jsonresult = decompose_goal("做个产品调研")# 方式2：通过sessions_spawnsessions_spawn(agentId="goal-decomposer", task="拆解目标：做个产品调研")```## 与现有能力集成| 能力 | 集成方式 ||------|----------|| RESOLVER | 任务生成后路由到对应skill || sessions_spawn | 子任务可独立spawn执行 || AUTO-FIX | 拆解失败触发修复 || web-access | 调研类任务联网获取数据 |## 实现脚本见 `scripts/decompose.py`---## ⚠️ 常见坑| 症状 | 原因 | 解决办法 ||------|------|----------|| 拆解层级不清 | 目标表述模糊 | 明确"做什么+为什么做" || 任务过于碎片 | 缺少MECE检查 | 启用MECE验证开关 || 依赖关系缺失 | 未标注前提任务 | 检查是否需要前置条件 || 执行顺序混乱 | 依赖标注遗漏 | 补充"depends_on"字段 |

Frequently asked questions

Goal Decomposer