Simplify and validate Faebryk constraint systems built from Parameters, Literals, and Expressions.
npx skills add https://github.com/atopile/atopile --skill solver
Please help me install this Agent Skill. Skill: Solver Source: https://github.com/atopile/atopile/tree/main/.claude/skills/solver Command: npx skills add https://github.com/atopile/atopile --skill solver
The Solver module is the heart of atopile's parameter subsystem, providing symbolic simplification and validation of constraint systems built from Parameters, Literals, and Expressions. It enforces core invariants during mutation to ensure graphs remain correct and learnable.
Create a minimal test graph and run DefaultSolver().simplify(g=..., tg=...) to inspect the resulting mutation_map and invariants in action.
High-intent search queries and answers about installing and using this skill.
To symbolically solve and validate constraints, the Faebryk solver simplifies systems built from parameters, literal sets, and expressions to produce canonical, deduplicated forms while enforcing invariants during mutation.
Invariants during mutation are safety rules that preserve semantics during graph transformations. The solver enforces these invariants to ensure parameter and expression graphs remain correct and learnable.
You can debug the solver pipeline by creating a minimal test graph and running DefaultSolver().simplify(g=..., tg=...) to inspect the resulting mutation_map and observe invariants in action.
Yes, working with this solver requires understanding the DefaultSolver, Mutator, and core data structures for parameters, literals, and expression graphs to effectively reason about canonical forms.
The best way to deduplicate expression graphs is using symbolic manipulation through the solver, which applies invariant-driven mutation to safely transform graphs into canonical, deduplicated forms.
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