智能需求解读器

v1.1.1

智能需求解读技能，通过多级分类和案例匹配帮助用户准确表达需求，并提供标准化交付物清单

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OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for samwang-001/requirement-interpreter.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "智能需求解读器" (samwang-001/requirement-interpreter) from ClawHub.
Skill page: https://clawhub.ai/samwang-001/requirement-interpreter
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install requirement-interpreter

ClawHub CLI

Package manager switcher

npx clawhub@latest install requirement-interpreter

Security Scan

VirusTotal

Benign

View report →

OpenClaw

Benign

high confidence

✓

Purpose & Capability

Skill name/description (需求解读、交付物清单) align with the delivered files: classifiers, interpreter, case library, templates, and a delivery-standards module. Required env/config/credentials are none — appropriate for this purpose.

✓

Instruction Scope

SKILL.md describes only classification, case matching, structured interview, and delivery checklists. The runtime entry (scripts/main.py) uses local case_library.json and local modules to produce classification and checklists; the instructions do not ask the agent to read unrelated system files, external config paths, or to exfiltrate data.

✓

Install Mechanism

No install spec provided (instruction-only in registry) and README suggests manual placement under ~/.codebuddy/skills/. No remote downloads or package installs are declared. This is low-risk from an installation perspective.

✓

Credentials

The skill declares no required environment variables, no credentials, and no config paths. The code files inspected reference only local assets (case library, templates, delivery standards) and standard Python modules — requested environment access is proportional to the stated functionality.

✓

Persistence & Privilege

Registry flags: always:false, user-invocable:true, disable-model-invocation:false (normal). No evidence the skill attempts to persistently modify other skills or system-wide agent settings; README instructs manual installation in a user skill directory.

Assessment

The package appears coherent and self-contained: its files implement classification, interpretation, interview prompts, and delivery-standards as described. Before installing or running it, review the remaining (truncated) script files (optimized_interpreter.py, structured_interview.py and any omitted files) for any network calls, subprocess.exec usage, or code that reads system files or environment variables. Run the skill in a sandboxed environment (non-root, limited permissions) if you plan to execute the scripts, and avoid exposing sensitive data to the skill until you have verified no outbound network or credential usage.

Like a lobster shell, security has layers — review code before you run it.

latestvk975pd1jbwt8scd79sq34x3d4d84593b

126downloads

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7versions

Updated 3w ago

v1.1.1

MIT-0

智能需求解读器

核心功能

帮助用户与AI进行高效、准确的沟通，显著提升需求理解质量和实施效果。

新增功能: 提供标准化交付物清单，确保需求落地结果规范、可直接使用。

需求类型体系

一级分类（6大类）

技术开发 - 软件、系统、应用开发
内容创作 - 文案、设计、视频创作
数据分析 - 统计、报表、可视化
业务流程 - 工作流、审批、自动化
问题解决 - 故障排查、性能优化
咨询服务 - 方案、选型、评估

二级分类（25+子类）

涵盖Web开发、移动应用、营销文案、数据可视化、审批流程、故障排查等细分场景。

触发场景

需求描述模糊、缺少关键信息
涉及特定行业专业知识
复杂度高，需要分步引导
需求紧急，需要快速精准理解

核心组件

组件	功能
`optimized_classifier.py`	智能分类引擎，6大类型25+子类
`optimized_interpreter.py`	个性化解读器，案例匹配+访谈
`case_library.json`	行业案例库，最佳实践
`structured_interview.py`	结构化访谈框架
`delivery_standards.py`	交付物标准化模块

使用示例

用户输入: "请帮我设计一个蛋糕促销海报"

处理结果:

类型: 内容创作 > 营销海报设计
行业: 餐饮
相似案例: 蛋糕促销海报设计
访谈问题: 营销目标、受众特征、视觉风格
最佳实践: 暖色调、诱人图片、突出优惠
交付物清单: 设计源文件、印刷文件、数字文件、矢量文件等

交付物标准化

支持的需求类型

需求类型	交付标准	包含文件类型
网站设计	网站设计交付标准	HTML/CSS/JS、设计稿、图标资源
移动应用	移动应用交付标准	安装包、设计稿、源码、接口文档
电商系统	电商项目交付标准	前端/后端代码、数据库、UI设计、部署文档
营销海报	营销海报交付标准	PSD/AI源文件、印刷PDF、数字图片、SVG矢量
视频制作	视频制作交付标准	MP4/MOV成片、工程文件、分镜脚本、字幕
数据分析	数据分析交付标准	分析报告、数据文件、可视化图表、代码
业务流程	业务流程交付标准	流程图、需求文档、原型、自动化脚本
咨询服务	咨询服务交付标准	咨询报告、执行方案、预算清单、演示PPT

交付物分类

代码文件: HTML, CSS, JS, Python, SQL 等
设计文件: Figma, Sketch, PSD, AI, SVG 等
文档资料: PDF, Word, Markdown 等
资源素材: PNG, JPG, SVG 等
分析报告: PDF, PPT, Excel 等
数据文件: CSV, SQL, JSON 等

效果指标

指标	目标
一级分类准确率	>95%
二级分类准确率	>85%
相似案例推荐准确率	>90%
交付物标准覆盖率	>90%

资源

references/requirement_patterns.md - 需求模式库
assets/templates/ - 需求模板
assets/checklists/ - 完整性检查清单

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