a5c-ai/JIT Compilation
library/specializations/programming-languages/skills/jit-compilation/SKILL.md
Expert skill for just-in-time compilation including profiling, tiered compilation, and deoptimization
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter JIT CompilationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
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Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
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CrowdStrikeAdvanced threat intelligence
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OSV-ScannerOpen Source Vulnerability database check
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OWASP Dep-Check
50%
Last scanned: Apr 2, 2026, 1:08 PM57.7s2 files scanned
SKILL.md
- name:
- JIT Compilation
- description:
- Expert skill for just-in-time compilation including profiling, tiered compilation, and deoptimization
- category:
- Runtime Optimization
JIT Compilation Skill
Overview
Expert skill for just-in-time compilation including profiling, tiered compilation, and deoptimization.
Capabilities
- Implement execution profiling and hot path detection
- Design tiered compilation strategies (baseline + optimizing)
- Implement on-stack replacement (OSR)
- Implement speculative optimizations with guards
- Design deoptimization frame reconstruction
- Implement inline caching and type feedback
- Design code cache management and eviction
- Implement method inlining heuristics
Target Processes
- jit-compiler-development.js
- bytecode-vm-implementation.js
- interpreter-implementation.js
Dependencies
V8/HotSpot architecture references
Usage Guidelines
- Tiered Approach: Start with a baseline tier, add optimizing tier when profiling data is available
- Profile-Guided: Use profiling data to guide optimization decisions
- Speculation: Implement guards for speculative optimizations with clean deoptimization
- OSR: Implement OSR for long-running loops to benefit from optimization mid-execution
- Code Cache: Implement code cache management to handle memory pressure
Output Schema
{
"type": "object",
"properties": {
"tiers": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": { "type": "string" },
"trigger": { "type": "string" }
}
}
},
"profilingMethod": {
"type": "string",
"enum": ["counters", "sampling", "tracing"]
},
"osrSupport": { "type": "boolean" },
"generatedFiles": {
"type": "array",
"items": { "type": "string" }
}
}
}
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