The framework
GAD is planning + evaluation for AI coding agents.
A small CLI, a strict five-step loop, and an experiment harness stapled to the side. The CLI re-hydrates context in one command. Skills tell the agent what to do. Subagents do the expensive work off the main thread. Templates scaffold new projects. Runtime-specific command wrappers are generated only when a coding agent needs them. Evals measure whether any of this actually helps. Read the loop diagram for how it fits together.
Core concepts
Three moving parts
Skill bootstrap sets
Framework-level vs eval-inherited
GAD ships 93 official skills as the canonical consumer/runtime surface. But eval projects (bare, emergent) do not get the full framework - they start with a minimal bootstrap set copied into their template/skills/ directory. The rest of the framework is withheld by design so we can see what they build without it.
Inherited by bare + emergent (10)
Available to full GAD runs only (83)
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