quality-enriched-prompting
"[0,1]-enriched category implementation for gradient-based prompt quality optimization. Use when implementing quality-aware prompt systems, building enriched categorical structures for prompt evaluation, creating continuous optimization over prompt spaces, or applying Bradley's enriched category theory to language model quality scoring."
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install manutej/categorical-meta-prompting/quality-enriched-promptingskilz install manutej/categorical-meta-prompting/quality-enriched-prompting --agent opencodeskilz install manutej/categorical-meta-prompting/quality-enriched-prompting --agent codexskilz install manutej/categorical-meta-prompting/quality-enriched-prompting --agent geminiFirst time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/manutej/categorical-meta-promptingcp -r categorical-meta-prompting/.claude/skills/quality-enriched-prompting ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
Related Agentic Skills
flow-nexus-neural
by ruvnet
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
ml-pipeline-workflow
by wshobson
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipeline...
book-sft-pipeline
by muratcankoylan
End-to-end system for creating supervised fine-tuning datasets from books and training style-transfer models. Covers text extraction, intelligent s...
dspy-ruby
by EveryInc
This skill should be used when working with DSPy.rb, a Ruby framework for building type-safe, composable LLM applications. Use this when implementi...
Agentic Skill Details
- Repository
- categorical-meta-prompting
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Market Score
- 12
Browse Category
More data ai Agentic SkillsReport Security Issue
Found a security vulnerability in this agent skill?
Report Security Issue
Reporting issue with:
quality-enriched-prompting
https://github.com/manutej/categorical-meta-promptingThank you for helping keep SkillzWave secure. We'll review your report and take appropriate action.
Note: For critical security issues that require immediate attention, please also email security@skillzwave.ai directly.