SSA/IR Design
Expert skill for designing intermediate representations and implementing SSA construction
npx skills add a5c-ai/babysitter --skill ssa-ir-design --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.
# SSA/IR Design Skill ## Overview Expert skill for designing intermediate representations and implementing SSA (Static Single Assignment) construction. ## Capabilities - Design control flow graph (CFG) structures - Implement dominance tree computation - Implement SSA construction algorithms (Cytron et al.) - Design phi function placement and pruning - Implement SSA destruction for register allocation - Design sea-of-nodes IR representations - Implement basic block reordering - Design IR verification passes ## Target Processes - ir-design.js - code-generation-llvm.js - jit-compiler-development.js - semantic-analysis.js ## Dependencies Compiler optimization textbooks (Engineering a Compiler, Modern Compiler Implementation) ## Usage Guidelines 1. **CFG Design**: Start with a clear CFG representation with explicit entry/exit blocks 2. **Dominance**: Implement dominance computation before SSA construction 3. **Phi Placement**: Use dominance frontiers for minimal phi placement 4. **Verification**: Build IR verification passes to catch malformed IR early 5. **Debugging**: Include IR pretty-printing from the start for debugging ## Output Schema ```json { "type": "object", "properties": { "
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Guidelines
- Output Schema
What does the SSA/IR Design skill do?
Expert skill for designing intermediate representations and implementing SSA construction
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill ssa-ir-design --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.