first-tree-seed

first-tree-seed is a Codebase mapping & onboarding skill for AI agents, published by first-tree-ai in the first-tree repository on GitHub. Skillspace rates first-tree-seed D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Bootstrap a team's Context Tree from readable source repos — for an onboarding \"build / set up the Context Tree\" task on a tree that has no domain structure yet: either no tree exists (creates and binds it) or a bound-but-empty tree (fills it). Supports clean explicit-Team invocation without a Workspace manifest, managed briefing, or prior setup-chat transcript, while preserving managed-workspace compatibility. Proposes an initial top-level + second-level domain structure for approval, then drafts initial leaf content — each as a reviewable PR/MR. Refuses unrelated re-seeding once the tree has domain structure and recovers Phase 2 from durable merged Tree state plus the same explicit sources.

Grade

D

Quality

66 / 100

Safety

Passed

GitHub stars

140

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