hermes - 💡(How to fix) Fix [Enhancement] Improve SSL Normalizer Phase Extraction [1 participants]

TL;DR

Improve phase extraction accuracy by implementing a more robust solution, such as training a lightweight classifier or utilizing a Large Language Model (LLM), and standardizing the SKILL.md format.

Guidance

• Review the proposed solution options (training a lightweight classifier, using LLM, or standardizing SKILL.md format) and evaluate their feasibility and potential impact on improving phase extraction accuracy.
• Utilize the provided Phase Taxonomy (draft) as a starting point for defining a standardized phase taxonomy, which can help improve the accuracy of phase extraction.
• Consider reviewing the 20 skills manually to validate phase extraction and refine the taxonomy as needed.
• Explore the implementation references (SSL Normalizer and SSL Index) to understand the current implementation and identify potential areas for improvement.

Example

No code snippet is provided as the issue does not contain sufficient technical details to generate a specific example.

Notes

The solution may require a hybrid approach, combining development and machine learning efforts with manual taxonomy review, which could impact the overall effort and timeline.

Recommendation

Apply a workaround by standardizing the SKILL.md format with explicit frontmatter, as this approach may be more straightforward to implement and can potentially improve phase extraction accuracy.