技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 2 · 2.5k · 7 current installs · 8 all-time installs
⭐ 2
安装量（当前） 8
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：artyomx33/jtbd-analyzer
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is an instruction-only Jobs-To-Be-Done analysis guide that asks for no credentials, installs nothing, and stays within its stated purpose.
目的
Name/description (JTBD analysis) match the actual content: SKILL.md plus references provide frameworks, templates and examples. No unrelated binaries, env vars, or platform access are requested.
说明范围
Runtime instructions are limited to interviewing prompts, job-statement templates, and an output format. They do not direct the agent to read system files, access credentials, call external endpoints, or exfiltrate data.
安装机制
No install spec and no code files — instruction-only skill. Nothing is written to disk or fetched at install time.
证书
The skill declares no required environment variables, config paths, or credentials. The content does not reference secrets or unrelated services.
持久
always is false and default autonomous invocation is allowed (platform default). The skill does not request persistent or elevated system privileges.
综合结论
This skill is internally consistent and appears safe to add as a guidance/template tool. Before using it with real customer data, remove or anonymize personally identifiable information and sensitive business secrets in prompts. Note there is no homepage or author provenance listed—if provenance matters to you, ask the publisher for identity or audit trail. Finally, remember the skill can be invoked by your agent (normal for skills); if you pr…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Jobs To Be Done Analyzer」。简介：Uncover the real "job" customers hire your product to do. Goes beyond features …。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/artyomx33/jtbd-analyzer/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: jtbd-analyzer
description: Uncover the real "job" customers hire your product to do. Goes beyond features to understand functional, emotional, and social motivations. Use when user says "jobs to be done", "jtbd", "why do customers", "what job", "customer motivation", "what problem", "user needs", "why do people buy".
---
# Jobs-To-Be-Done Analyzer
## The Core Concept
Customers don't buy products. They HIRE products to do a job.
"People don't want a quarter-inch drill. They want a quarter-inch hole."
Actually: They want a shelf → to display photos → to feel proud of family.
## The Three Job Dimensions
| Dimension | Question | Format |
|-----------|----------|--------|
| **Functional** | What task needs doing? | "Help me [verb] [object]" |
| **Emotional** | How do I want to feel? | "Make me feel [emotion]" |
| **Social** | How do I want to be seen? | "Help me be seen as [quality]" |
## The Process
1. **Job Statement:** "When [situation], I want to [motivation], so I can [outcome]"
2. **Map all 3 dimensions** for each user type
3. **Find real competition:** What ELSE could do this job?
4. **Prioritize:** Which jobs are most critical and underserved?
## Output Format
```
PRODUCT: [What you're analyzing]
For [User Type]:
JOB: "When [situation], I want [motivation], so I can [outcome]"
📋 FUNCTIONAL: [Task to accomplish]
💜 EMOTIONAL: [Feeling desired]
👥 SOCIAL: [Perception desired]
ALTERNATIVES: [What else could do this job?]
UNDERSERVED: [What part isn't done well?]
PRIORITY: Critical / Important / Nice-to-have
```
## Key Questions
1. "What were you trying to accomplish when you [action]?"
2. "Walk me through the last time you needed to [job]"
3. "What would you do if [product] didn't exist?"
4. "What's frustrating about how you currently [job]?"
## Integration
Compounds with:
- **first-principles-decomposer** → Decompose job to atomic need
- **cross-pollination-engine** → Find how others solve similar jobs
- **app-planning-skill** → Use JTBD to inform features
---
See references/examples.md for Artem-specific JTBD analyses