A sophisticated AI agent skill for quantifying academic and professional advancement eligibility through institutional rule mapping and gap analysis.
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npx clawhub@latest install pathway-score-guide-pro
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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Help me install pathway-score-guide-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
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Pathway Score & Guide Pro is a comprehensive technical tool designed to assist users in navigating complex academic and professional milestones. As a key component of the Openclaw Skills library, it specializes in evaluating seven distinct advancement paths, including postgraduate recommendations, PhD applications, and professional title assessments. The skill prioritizes the ingestion of user-provided institutional documents to ensure that all scoring and guidance are grounded in the most current local regulations.
By leveraging advanced policy normalization, this skill bridges the gap between official bureaucratic requirements and actionable career planning. Whether you are aiming for a master's degree or seeking a senior professional title, this skill within the Openclaw Skills framework provides an interpretable scoring system that clarifies hard thresholds, competitive metrics, and necessary documentation, ensuring high-stakes decisions are backed by data-driven insights.
To deploy this skill within your local environment, ensure all reference documents and scripts are correctly pathed. You can initialize the core scoring engine and normalize your institutional policies using the following CLI commands provided by Openclaw Skills:
# Initialize the pathway evaluation engine
python scripts/score_engine.py --pathway phd_application
# Process and normalize institutional policy documents
python scripts/policy_normalizer.py --input ./local_policies/rules_2024.pdf --output ./resources/templates/
The skill manages information through a structured hierarchy of reference files and structured templates to maintain high data integrity. This organization is a hallmark of professional Openclaw Skills.
| Data Component | Format | Purpose |
|---|---|---|
| Scoring Rubrics | Markdown | Defines logic for quantifying academic and professional achievements. |
| National Baselines | Markdown | Provides fallback criteria based on 2025-2026 national policy standards. |
| Scorecards | JSON | Structured data objects for storing user-specific metrics and results. |
| Output Templates | YAML | Schemas for generating consistent and professional evaluation reports. |
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