Overview
- Skill Key
- artyomx33/jtbd-analyzer
- Author
- artyomx33
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/artyomx33/jtbd-analyzer
- Latest Commit SHA
- 8e9a27e855f0e44082736f5e955f3919ab9565bd
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".
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 jtbd-analyzer 技能。 若已安装,则直接安装 jtbd-analyzer 技能。
# 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
capt-marbles
Task Router
captchasco
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.
carol-gutianle
name: modelready description: Start using a local or Hugging Face model instantly, directly from chat. metadata: {"openclaw":{"requires":{"bins": "bash", "curl" }, "env": "URL" }}
cartoonitunes
Read-only factual data about historical Ethereum mainnet contracts. Use when the user asks about a specific contract address, early Ethereum contracts, deployment era, deployer, bytecode, decompiled code, or documented history (what a contract is and is not). Data is non-opinionated and includes runtime bytecode, decompiled code, and editorial history when available. Base URL https://ethereumhistory.com (or set BASE_URL for local/staging).
cassh100k
Portable agent identity encoding. Compress SOUL.md/MEMORY.md into transferable DNA fingerprints, detect identity drift between snapshots, and port personality across platforms (OpenClaw, Claude, GPT, CrewAI). Pure Python, zero dependencies. Use when migrating agents between platforms, detecting personality drift, or backing up agent identity.
camopel
One-command disk cleanup for macOS and Linux — trash, caches, temp files, old kernels, snap revisions, Homebrew, Docker, and Xcode artifacts. Use when user asks to free storage, clean up disk, reclaim space, reduce disk usage, or encounters low disk / "disk full" warnings. Safe by default with dry-run mode. No dependencies beyond bash and awk.