原始内容
name: kinema-concept-research displayName: "Kinema's Concept Re-Search" version: 1.1.0 description: | Research whether a concept has been implemented and its current state. Use multi-language keywords, multi-engine cross-validation, and multi-dimensional search. When user proposes an idea or concept, systematically research its existing solutions through a structured search process. Trigger: User asks "has anyone done this", "check the status of xxx", "research xxx", etc.
Concept Research - Concept Status Research | 概念现状调研
- Author: LeeShunEE
- Organization: KinemaClawWorkspace
- GitHub: https://github.com/KinemaClawWorkspace/kinema-concept-research
⚠️ Before First Use | 首次使用必读
首次使用此 skill 前，必须先读取 references/ONBOARDING.md 完成环境配置。
- 首次配置 → 读取 references/ONBOARDING.md 完成全部步骤
- 环境不可用（searxng-search 未安装、搜索失败）→ 读取 references/ONBOARDING.md Troubleshooting 排查修复
- 配置完成后 → 直接使用下方工作流
Research whether a concept has been implemented and what it looks like. Search thoroughly and output a summary list.
调查一个概念是否已被实现、做成什么样子。彻底搜索，输出摘要清单。
Workflow | 工作流
Phase 1: Concept Clarification (Dialogue) | 阶段 1: 概念澄清（对话）
Through multi-turn dialogue clarify: | 通过多轮对话明确：
- What user wants to do | 用户想做什么
- Core functionality | 核心功能是什么
- Target users | 目标用户是谁
- Differentiation expectations | 差异化期望是什么
Output: One-sentence concept definition | 产出: 一句话概念定义
Phase 2: Keyword Breakdown | 阶段 2: 关键词拆解
Based on concept definition, break down into multiple keyword groups: | 基于概念定义，拆解为多组关键词：
- Core word variants - synonyms, near-synonyms, different expressions | 核心词变体 - 同义词、近义词、不同表述
- Tech stack words - involved technologies, frameworks, protocols | 技术栈词 - 涉及的技术、框架、协议
- Scenario words - use cases, problems to solve | 场景词 - 使用场景、解决的问题
- Combined words - core word + tech/scenario | 组合词 - 核心词 + 技术/场景
Generate Chinese and English versions for each group. | 每组生成中英文版本。
Phase 3: Broad Search | 阶段 3: 广度搜索
Search using searxng-search batch by batch: | 使用 searxng-search 逐批搜索：
- Search 1-2 pages for each keyword group | 每组关键词搜索 1-2 页结果
- Record all relevant links | 记录所有相关链接
- Preliminary relevance marking based on title/abstract | 根据标题/摘要初步标记相关性
Time filter (if search engine supports): | 时间过滤（如搜索引擎支持）:
- Five years ago, two years ago, one year ago, three months ago, recent three months | 五年之前、两年之前、一年之前、三个月之前、最近三个月
Phase 4: Deep Exploration | 阶段 4: 深度探索
From high-relevance results, select 3-5 for deep exploration: | 从高相关性结果中挑选 3-5 个进行深度探索：
- Web pages: Use web_fetch to grab content | Web 页面: 使用 web_fetch 抓取内容
- GitHub Repo: Clone locally, read README | GitHub Repo: 克隆到本地，阅读 README
- PDF/Papers: Download and read | PDF/论文: 下载阅读
Record exploration content: | 探索内容记录：
- Core functionality | 核心功能
- Technical implementation | 技术实现
- Pros and cons | 优缺点
- Similarities/differences with user concept | 与用户概念的异同
Phase 5: Output Report | 阶段 5: 输出报告
Generate summary list: | 生成摘要清单：
| Field | Description | 说明 |
|---|---|---|
| Link | Original URL | 链接 |
| Overview | What it is, what it does | 概述 |
| Basic Approach | Core technical solution | 基本思路 |
| Similarities | Common points with user concept | 相同点 |
| Differences | Differences from user concept | 不同点 |
| Analysis | Opportunities, improvement space | 分析 |
Project Directory | 项目目录
All files saved in: projects/research-{uuid}/ | 所有文件保存在：projects/research-{uuid}/
projects/research-{uuid}/
├── concepts/
│ └── definition.md
├── keywords/
│ └── keywords.md
├── search/
│ ├── broad/
│ └── deep/
├── repos/
├── papers/
└── report.md
Search Tools | 搜索工具
Priority: searxng-search. If SearXNG not deployed, can use ddg-search. | 优先使用 searxng-search。如 SearXNG 未部署，可使用 ddg-search。
Related Documentation | 相关文档
- searxng-search skill
- skill-creator skill