A fast, lightweight Python and AI-driven workflow that extracts ATS keywords and instantly generates tailored resume bullet points from any job description.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install anubis-lite
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 anubis-lite 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 Anubis Lite?
Anubis Lite is an agile, developer-friendly career application helper designed to optimize resumes directly from the terminal or within AI agent workflows. By parsing raw job descriptions, this utility quickly detects critical technical requirements, soft skills, and experience constraints to construct an analytical baseline.
As one of the featured Openclaw Skills, it acts as an intelligent context pre-processor. It automatically analyzes job postings and formats high-priority Applicant Tracking System (ATS) keywords, outputting highly targeted, impact-driven resume bullet points in seconds. This allows candidates to bypass tedious editing processes and align their experience perfectly with hiring criteria.
Anubis Lite Use Cases
- Quick Job Adaptation: Rapidly adjust your resume for specific software engineering or technical roles before submitting applications.
- ATS Optimization: Discover and include critical technical keywords and experience benchmarks that automated screens search for.
- Impact-Driven Copywriting: Generate achievement-focused resume bullet points featuring structured action verbs and metric placeholders.
- Prompt Context Preparation: Cleanly parse and format raw job descriptions into structured context blocks for AI analysis.
How Anubis Lite Works
- Environment Initialization: The developer provides the target job description via the JOB_DESCRIPTION environment variable.
- Local Pre-Processing: A local Python script runs to extract common technical and soft skill keywords while parsing experience requirements.
- Visual Summary: The terminal displays a clean, structured table of the detected job criteria using the Rich framework.
- AI Generation Prompting: The tool prepares the cleaned data to guide an AI agent in drafting an ATS keyword report, 5 customized bullet points, and a professional positioning statement.
- Upsell Notification: The user receives optional CLI-based indicators to upgrade to premium tiers for full document rewrites.
Anubis Lite Setup
Ensure you have python3 and pip3 installed on your system.
First, install the required visual formatting dependencies:
pip3 install rich --break-system-packages --quiet
Next, set your target job description as an environment variable in your Openclaw Skills workspace:
export JOB_DESCRIPTION="Your pasted job description text goes here"
Run your core execution parser to analyze the job description and format the prompt output.
Anubis Lite Data Schema & Taxonomy
Input Environment Variables
| Variable Name | Required | Description |
|---|---|---|
JOB_DESCRIPTION |
Yes | The complete text of the target job posting to analyze. |
Extracted Metadata Categories
The Python workflow parses and separates data into the following key taxonomies:
- Role Title: Extracted from the primary lines of the text input.
- Experience Requirement: Numerical year targets matched via regular expressions.
- Technical Keywords: Scans against structured dictionaries (e.g., Python, AWS, Docker, React).
- Soft Skills: Common workplace competency keywords (e.g., leadership, stakeholder, analytical).
Output Schema Structure
- ATS Keyword Report: Grouped into Required, Nice-to-Have, Soft Skills, and Action Verbs.
- 5 Tailored Bullets: Standardized format using:
• [Verb] [what you did] by [how] resulting in [measurable outcome]. - Positioning Statement: 2 to 3 sentences summarizing the profile match.
Anubis Lite Advanced Features
- Modular ATS Matching: Customizable keyword lists built directly into the parser script to handle modern stack variations.
- Rich CLI Layouts: Beautiful interactive terminal tables that structure findings natively in developer consoles.
- Structured Prompt Chaining: Pipelines raw job data seamlessly into agent generation environments within Openclaw Skills integrations.
- Upgrade Path Support: Native CLI scripts for upselling tiers without breaking local workflow automation scripts.
SKILL.md
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