Hand-compute system execution with explicit per-actor state at each step.
npx skills add https://github.com/gbasin/hand-compute --skill hand-compute
Please help me install this Agent Skill. Skill: hand-compute Source: https://github.com/gbasin/hand-compute/tree/main Command: npx skills add https://github.com/gbasin/hand-compute --skill hand-compute
Hand-computes system execution with explicit state at each step to surface state bugs and race conditions.
Begin by choosing a task and walk the flow step by step, recording explicit state for every actor at each transition.
High-intent search queries and answers about installing and using this skill.
Debug race conditions by hand-computing system execution with explicit per-actor state at each step. Walking every transition manually surfaces state bugs and contradictions across asynchronous interactions.
Tracing state machine bugs requires hand-computing execution transitions while maintaining named objects for each actor. This concrete walk prevents narrative-only reasoning and reveals hidden invariant violations.
Scope features by walking end-to-end flows with concrete traces that reveal invariants. This single-head perspective analysis grounds transitions in actual code by referencing real functions and data structures.
Yes, hand-computing system state explicitly requires keeping the walk within a single head to avoid sub-agent fanout. This constraint ensures accurate manual tracing of multi-actor flows without losing state context.
Manually walk system execution when debugging multi-actor flows, asynchronous interactions, or feature scoping where concrete traces reveal invariants. Hand-computing exposes contradictions that automated traces often miss.
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