Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create/modify, component designs, data flows, and build sequences.
Delegate a well-specified implementation, refactor, migration, or bulk-mechanical coding task to the configured Codex CLI model and return ONLY a compact summary. Keeps Codex's large transcript out of the orchestrator's context. Use for multi-step tasks; not for tiny one-shot edits.
Tutor the user toward deep understanding of a topic, codebase, paper, artifact, or concept through incremental explanation, active recall, and verification. Use when the user asks to be taught, wants to understand something deeply, says "teach me", "walk me through", "explain until I get it", "quiz me", asks for…
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+1 3d agoASkillSpector: pass110 tokens
originalMIT
PyTorch model-building conventions and a neural-net training debug checklist. Use this skill whenever writing or reviewing PyTorch code that defines a model (nn.Linear, nn.Conv2d, BatchNorm) or trains one (training loop, optimizer, LR schedule), and ESPECIALLY when debugging training problems — loss not converging…
★not rated 51▲
+1 3d agoASkillSpector: pass118 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: