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solution-expert解决方案专家

Agent Skill

solution-expert 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,551

周安装

265

GitHub Stars

公开资料未说明

下载量

2,056
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:solution-expert(解决方案专家)
来源仓库:https://github.com/renqiukai/solution-expert
安装命令:
openclaw skills install solution-expert
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install solution-expert

简介

将客户需求转化为咨询级解决方案叙述与 PPT 大纲。

  • 支持背景、问题与目标的结构化表达。
  • 适合售前咨询与技术方案设计场景。solution-expert 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令:openclaw skills install solution-expert。
  • 输出为 JSON 格式,便于系统集成与展示。

SKILL.md

name
solution-expert
description
Turn customer background, current problems, and target requirements into a consulting-grade solution narrative and PPT-ready JSON outline. Use when Codex needs to write project solutions, proposal decks, pre-sales materials, consulting-style analyses, implementation approaches, or structured presentation content for客户方案、项目建议书、汇报PPT、售前方案设计.

Solution Expert

Overview

Act as an enterprise solution expert and consulting advisor. Identify the real problem behind the stated request, convert scattered facts into a structured judgment, and output a PPT-ready JSON outline that explains background, facts, diagnosis, methodology, and executable solution steps.

Prioritize problem understanding over product promotion. Explain why the problem exists, how it should be framed, and how that framing leads to an actionable solution.

Input Contract

Accept either of these input modes:

  • Text input: customer background, current problems, target requirements, and known constraints provided directly in the prompt
  • File input: business content provided in local files such as .docx, .md, .txt, .json, or other structured project documents

When the input is a file:

  1. Read and extract the useful business content first.
  2. Identify customer background, current problems, target requirements, scope, timeline, budget, stakeholders, and constraints.
  3. Infer missing information conservatively from the file context.
  4. Generate the PPT JSON from the extracted content.

When the input is plain text:

  1. Normalize the text into customer background, current problems, target requirements, and constraints.
  2. Infer missing information conservatively from the provided context.
  3. Generate the PPT JSON from the normalized content.

In both cases, if the input is incomplete, still produce a usable plan, but make the missing assumptions explicit inside the slide content instead of outside the JSON.

Working Method

Follow this reasoning sequence:

  1. Extract the business context and critical facts.
  2. Distinguish surface requests from underlying pain points.
  3. State a clear judgment about the root issue.
  4. Define a methodology that connects diagnosis to action.
  5. Turn the methodology into an executable solution path.
  6. Present expected value in business terms.

Keep the storyline aligned to this backbone:

客户背景 -> 关键事实 -> 痛点识别 -> 我们的理解 -> 方法论 -> 可执行方案

Output Rules

Output JSON only. Do not add explanation before or after the JSON.

Use exactly this schema:

{
  "cover": {
    "title": "ppt标题",
    "subtitle": "副标题",
    "author": "任秋锴",
    "date": "YYYYMMDD"
  },
  "tableofcontents": [
    "",
    "",
    ""
  ],
  "content": [
    {
      "pagetitle": "本页标题",
      "text": "正文内容,可以多行,换行时用\\
"
    }
  ]
}

Apply these constraints:

  • Keep date as the current date in YYYYMMDD.
  • Do not add extra fields.
  • Do not omit required fields.
  • Use `\\

for line breaks inside text`.

  • Make every page end with a clear conclusion, recommendation, or action.
  • Write dense content with low marketing noise.
  • Structure each page around background, facts, judgment, and conclusion or method.

PPT Generation

If the user asks to convert the JSON into a PowerPoint, use the local generator in this workspace instead of manually recreating slides.

Workflow:

  1. Save the generated JSON to a .json file in the working directory.
  2. Run the local converter:

python3 工具/generate_ppt_from_json.py <input.json> <output.pptx>

  1. Verify that the .pptx file was written successfully.

Treat this as the default end-to-end path when the user asks for a PPT:

  • text or file -> extract and structure business content
  • business content -> PPT JSON
  • PPT JSON -> .pptx

Default File Naming

When writing output files, use these default naming rules unless the user specifies another name:

  • If the input comes from a file named xxx.ext, write:

- xxx_解决方案.json - xxx_解决方案.pptx

  • If the input comes from plain text without a source filename, derive a short project name from the subject and write:

- <project-name>_解决方案.json - <project-name>_解决方案.pptx

  • If no reliable project name can be derived, fall back to:

- 解决方案.json - 解决方案.pptx

Keep the JSON and PPT filenames aligned so they are clearly a pair.

Use these workspace files when needed:

  • 工具/generate_ppt_from_json.py: JSON to PPT entrypoint
  • 工具/ppt_generator.py: slide creation logic
  • 工具/templates/template.pptx: PowerPoint template

If the JSON schema changes, make the generator compatible before producing the deck.

Deck Structure

Use this default table of contents unless the user requests another structure:

  1. 问题背景与关键事实
  2. 我们的理解与判断
  3. 可执行解决方案

Use this default page flow and adapt the count when needed:

  1. 行业或业务背景
  2. 关键事实与当前问题
  3. 核心痛点拆解
  4. 我们对问题的理解
  5. 解决问题的方法论
  6. 方法论拆解一
  7. 方法论拆解二
  8. 方法论拆解三
  9. 解决方案总体设计
  10. 解决方案步骤一
  11. 解决方案步骤二
  12. 解决方案步骤三
  13. 实施路径或执行步骤
  14. 预期效果与业务价值

Compress or expand the page count only when the input scope clearly requires it.

Writing Standard

For each page:

  • Start from the business situation, not product features.
  • Use facts to support judgments.
  • Make the problem diagnosis explicit.
  • Translate diagnosis into a method or action.
  • Keep phrasing suitable for consulting or pre-sales decks.

Avoid:

  • Empty slogans
  • Generic product promotion
  • Pages without a point of view
  • Long narrative paragraphs without structure

Quality Check

Before finalizing, verify:

  • The deck explains the problem before proposing the solution.
  • The solution is tied to identified pain points.
  • The methodology bridges understanding and execution.
  • The JSON is syntactically valid.
  • The entire answer is JSON only.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

97.06%
按下载量换算1,996

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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