jhillin8

Overcome Problem

AI 智能体v1.0.0
作者:jhillin8更新于 2026-05-11overcome-problem@clawhub_jhillin8/overcome-problem
任务自动化工作流编排

据 AlphaMoat 统计,截至 2026-09,Overcome Problem 累计下载 3,633 次、获 6 个星标,在全部 5,078 个 AI 技能中排名第 2,992 位,在「AI 智能体」分类(969 个)中排名第 600 位。

累计安装
249
累计下载
3,633
星标
6
全站排名
#2,992
全站前 59% · 「AI 智能体」前 62%
平台累计安装累计下载星标评论
ClawHub ↗1153,4176-
SkillHub ↗2493,6336—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

将复杂问题拆分为可理解的部分,形成行动计划并跟踪进展。计划应依据用户提供的信息并保留不确定性;定期回顾实际进展,而非把建议当作结果。

资料发布于 2026-10-27

可以用来做什么

  • 梳理问题并拆成具体步骤
  • 制定行动计划并检查进展

什么时候用

  • 需要从困境中找出下一步时
  • 需要复盘行动计划进度时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

帮我拆解这个问题并提出可执行的下一步。
把计划按优先级整理,并标出需要我补充的信息。

月度数据趋势

累计下载3,633
2,5713,1423,7122026-03 · 累计下载 2,6502026-05 · 累计下载 2,9522026-06 · 累计下载 3,0702026-07 · 累计下载 3,2712026-08 · 累计下载 3,3402026-09 · 累计下载 3,63326-0326-09
星标6
5672026-03 · 星标 62026-05 · 星标 62026-06 · 星标 62026-07 · 星标 62026-08 · 星标 62026-09 · 星标 626-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-093,633—6
2026-083,340+2.1%6
2026-073,271+6.5%6
2026-063,070+4.0%6
2026-052,952—6
2026-032,650—6

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

2.2 KB · ClawHub v1.0.0
---
name: overcome-problem
description: Break down any problem with structured thinking, action plans, and progress tracking
author: clawd-team
version: 1.0.0
triggers:
  - "help me overcome"
  - "stuck on problem"
  - "how do I solve"
  - "break down problem"
展开全部(共 63 行)
  - "overcome challenge"
---

# Overcome Any Problem

Transform obstacles into solvable steps. Structured thinking beats brute force.

## What it does

- **Problem decomposition** - Break complex challenges into discrete, manageable pieces
- **Action planning** - Generate step-by-step execution paths with clear dependencies
- **Obstacle identification** - Anticipate blockers before they derail progress
- **Progress tracking** - Monitor advancement and adjust course mid-execution

## Usage

### Define Problem
State the challenge clearly. What's blocking you? What does success look like?

### Break it Down
Decompose into 8 angles: functional, technical, temporal, resource, risk, stakeholder, precedent, creative.

### Create Action Plan
Sequence tasks with dependencies. Identify parallelizable work. Flag critical path items.

### Track Progress
Update status as you execute. Log blockers. Trigger re-analysis if assumptions break.

### Review Obstacles
When stuck, inspect the directive. What changed? What was missed? Update and retry.

## Problem-Solving Framework

**Define** - Clarify the problem statement. State constraints and success criteria.

**Analyze** - Apply multiple lenses (technical, financial, temporal, creative, etc).

**Generate options** - Brainstorm 3+ solution paths. Don't filter yet.

**Choose** - Select the highest-leverage path. Justify the choice.

**Execute** - Run the action plan. Track assumptions in real-time.

**Review** - Evaluate outcome. What worked? What's the directive update?

## Tips

- Start with the constraint. Problems are bottleneck puzzles. Remove the tightest constraint first.
- Think in primitives. What's the smallest building block? Build up from there.
- Multiply, don't add. Each system should amplify everything below it.
- Parallel over sequential. Find independent work streams. Execute simultaneously.
- All data stays local on your machine. No cloud dependencies, full privacy control.

「AI 智能体」分类下的热门技能

jhillin8 的其他技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。