# Kernelevole Agentic

> Automate compute kernel optimization via agentic AI and retrieval-augmented prompting. Unified context-aware transformation function, hardware-specific constraint KB, self-improving state machine exploring kernel variants—achieving 1.25-17× speedups on production recommendation workloads in hours vs weeks of manual effort.

- Skill: `adu2021/kernelevole-agentic` (Agent Skill)
- Install (CLI): `npx skillmds@latest add adu2021/kernelevole-agentic`
- Raw SKILL.md: https://api.skillmd.com/api/skills/adu2021/kernelevole-agentic/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: adu2021 (https://skillmd.com/u/adu2021)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/adu2021/kernelevole-agentic

---


## Overview

Autonomous kernel optimization across heterogeneous hardware via agentic synthesis.

## Core Technique

**Context-Aware Transformation:**

```python
# Single universal operator adapts via context
kernel = universal_operator.transform(
    operator_spec,
    hardware_context=gpu_type,
    optimization_history=prior_attempts
)
```

**Retrieval-Augmented Prompting:**
Hardware-specific constraints guide generation.

## Performance

- 1.25-17× speedup on production workloads
- Hours vs weeks of manual optimization

## References

- Context-aware kernel generation
- Hardware constraint knowledge bases
- Self-improving kernel optimization