Register Allocation
Expert skill for register allocation algorithms including graph coloring, linear scan, and spill code generation
npx skills add a5c-ai/babysitter --skill register-allocation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Register Allocation Skill ## Overview Expert skill for register allocation algorithms including graph coloring, linear scan, and spill code generation. ## Capabilities - Implement graph coloring register allocation - Implement linear scan register allocation - Generate spill code with minimal overhead - Handle calling convention register constraints - Implement register coalescing - Handle pre-colored nodes and fixed registers - Implement live range splitting - Design register pressure analysis ## Target Processes - jit-compiler-development.js - code-generation-llvm.js - bytecode-vm-implementation.js ## Dependencies None (algorithmic skill) ## Usage Guidelines 1. **Algorithm Selection**: Use linear scan for JIT (fast), graph coloring for AOT (optimal) 2. **Live Ranges**: Compute accurate live ranges before allocation 3. **Spill Costs**: Use heuristics to minimize spill costs (loop depth, usage frequency) 4. **Calling Conventions**: Handle caller/callee-saved registers correctly 5. **Coalescing**: Implement aggressive coalescing to reduce moves ## Output Schema ```json { "type": "object", "properties": { "algorithm": { "type": "string", "enum": ["graph-coloring", "linear-scan", "s
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Guidelines
- Output Schema
What does the Register Allocation skill do?
Expert skill for register allocation algorithms including graph coloring, linear scan, and spill code generation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill register-allocation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.