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.
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.
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.
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.
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.
This skill teaches Claude how to read, generate, and validate HADS documents. Read all [SPEC] blocks before responding to any HADS-related request. Read [NOTE] blocks if you need context on intent or edge cases. Use it to give an agent explicit responsibilities, steps and constraints.
A skill for creating new skills and iteratively improving them. Use it to make implementation decisions and avoid common dead ends.