data-flow-analysis-framework
Design and implement data-flow analyses for compiler optimization
npx skills add a5c-ai/babysitter --skill data-flow-analysis-framework --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.
# Data Flow Analysis Framework ## Purpose Provides expert guidance on designing and implementing data-flow analyses for compiler optimization and program analysis. ## Capabilities - Forward/backward analysis specification - Lattice definition and verification - Transfer function generation - Fixpoint computation (worklist algorithm) - Analysis soundness verification - Interprocedural analysis ## Usage Guidelines 1. **Lattice Design**: Define abstract domain and lattice 2. **Transfer Functions**: Define transfer functions for statements 3. **Analysis Direction**: Specify forward or backward 4. **Fixpoint**: Implement worklist algorithm 5. **Verification**: Verify soundness of analysis ## Tools/Libraries - LLVM - GCC internals - Soot - WALA
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the data-flow-analysis-framework skill do?
Design and implement data-flow analyses for compiler optimization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill data-flow-analysis-framework --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.