A professional framework for translating job requirements into business problems to transform candidates from job seekers into problem solvers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jd-translator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install jd-translator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is JD Translator?
The JD Translator is a strategic AI tool designed to deconstruct Job Descriptions (JDs) using a progressive Four-Layer Framework. Instead of viewing a job post as a mere list of required skills, this skill enables users to uncover the underlying business challenges a company is trying to solve. By shifting the perspective from competency-based to problem-based, it empowers candidates to align their experience with the actual needs of the hiring team.
Built as part of the Openclaw Skills ecosystem, JD Translator helps you move beyond passive answering. It provides the structural logic to build a problem tree, ensuring that every part of your interview—from the self-introduction to the reverse questioning—is interconnected and focused on high-value business outcomes.
JD Translator Use Cases
- Deep interview preparation for critical roles by identifying core organizational pain points.
- Decoding the true demands of a position when the JD text is vague or generic.
- Crafting high-impact self-introductions and strategic reverse-interview questions.
- Optimizing resumes to highlight problem-solving achievements over simple task execution.
How JD Translator Works
- The user provides the complete text of a Job Description to the JD Translator.
- The skill applies the Four-Layer Framework to analyze the Business, Team, and Position levels.
- It identifies the Core Contradiction or the primary reason the company is hiring right now.
- It generates a mapping table that translates JD requirements into specific business requests.
- The tool outputs a comprehensive Interview Strategy, including a problem tree and 30-second elevator pitch.
JD Translator Setup
To integrate JD Translator into your workflow, ensure you have the Openclaw Skills environment configured. You can use the included Python parser for bulk JD processing:
# Navigate to the skill directory
cd skills/jd-translator
# Run the JD parser script on your text file
python3 scripts/jd-parser.py --input job_description.txt
JD Translator Data Schema & Taxonomy
The JD Translator organizes its output into a structured report to ensure clarity and actionable insights:
| Section | Data Type | Description |
|---|---|---|
| Enterprise Perspective | Four-Layer Analysis | Breaks down problems at the Business, Team, and Job levels. |
| Mapping Table | Competency vs. Demand | Links JD keywords to the actual corporate pain points. |
| Problem Tree | Hierarchical List | Identifies Root, Main, and Branch problems for the role. |
| Interview Strategy | Tactical Script | Includes self-introduction templates and reverse-questioning banks. |
JD Translator Advanced Features
- Multi-Layer Logic: Moves through Business, Team, and Position layers to find the hidden hire-trigger.
- Problem Tree Construction: Automatically builds a structured hierarchy of questions to prevent getting lost during deep-dive technical interviews.
- Strategic Reverse Questioning: Generates high-level questions that demonstrate deep thinking and industry insight.
- STAR Case Alignment: Helps prioritize which past experiences to map against the 1-2 most critical problems identified.
SKILL.md
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