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The router skill: maps every user-reachable skill and how they relate, so an agent can pick the right one instead of guessing. Kept in sync whenever a skill is added, renamed or removed, on the principle that a router which lies is worse than none.

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Master controller and entry point for the skills tree. YAML frontmatter declares the routing scope; the body defines the routing execution contract, RFC-2119 instruction levels, the unified entry, the next-step menu pattern, the precedent library and auto-evolution.

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A spec-and-scaffold skill for building composable recommendation, ranking, and feed pipelines. Encodes the six-stage pattern popularized by xAI's open-sourced For You algorithm (Apache 2.0) and applies it to any "top K for (user, context)" problem. Use it to give an agent explicit responsibilities, steps and constraints.

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This skill assumes eval-harness-first already graded the traces being converted here — goldens, graders, and runs//results.json all exist before conversion starts. This is the flywheel edge that skill names in its own flow: "the same labeled traces become the training set." C. Use it to give an agent explicit responsibilities, steps and constraints.

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This is the router skill for the fine-tuning lifecycle: it decides whether fine-tuning is the right tool at all, and if so, which method and which base-model size class. Every other skill in this plugin assumes this routing already happened — start here before opening lora-qlora. Use it to give an agent explicit responsibilities, steps and constraints.

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