Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Modifies router-side API, authz, memory, provider, storage, or runtime service modules outside config, decision, selection, and extproc plugin chains. Use when changing apiserver endpoints, authz or rate-limit policy code, memory or response storage flows, provider adapters, or other router service-platform modules.
Calibrates routing changes against a live router endpoint with executable probes, local DSL validation, versioned deploys, and structured failure review. Use when tuning signals, projections, decisions, or maintained route examples against a real apiserver.
Modifies routing policy after signal extraction, including matched-decision logic, candidate-model selection, and downstream looper behavior. Use when changing decision predicates, thresholds, priorities, model ranking, cost or latency routing, or other post-signal routing policy.
Implements end-to-end signal changes spanning router config, signal extraction, CLI schema, optional bindings, router-owned metadata headers, and E2E test coverage. Use when adding a new signal type, changing signal configuration or extraction logic, updating CLI schema for signal parameters, or modifying router-owned signal metadata contracts.
Modifies the local startup chain including image build, container serve/bootstrap logic, and canonical smoke test behavior. Use when changing `vllm-sr serve` behavior, image selection or pull policy, container startup sequences, local Docker/Make bootstrap, or canonical smoke config.
Modifies training-stack workflows, selector or embedding pipelines, evaluation artifacts, or runtime-facing outputs under src/training. Use when changing model selection training, embedding pipelines, evaluation scripts, experiments, or other training outputs that feed runtime behavior.
Bridges native skill discovery into the vLLM Semantic Router repository harness, routing tasks through the canonical agent-report flow, repo-local skill registry, and validation commands. Use when starting any task inside the vLLM Semantic Router repository to resolve the correct primary skill, read canonical docs, and run harness validation.
Add new AI models to Kiln's ml_model_list.py and produce a Discord announcement. Use when the user wants to add, integrate, or register a new LLM model (e.g. Claude, GPT, DeepSeek, Gemini, Kimi, Qwen, Grok) into the Kiln model list, mentions adding a model to ml_model_list.py, or asks to discover/find new models that are available but not yet in Kiln.
Check Kiln's model list for deprecated or sunset models across all providers. Use when the user wants to find deprecated models, check model availability, audit the model list for stale entries, or mentions model deprecation/sunset/end-of-life.
Check Kiln's fine-tunable model list for deprecated or unsupported base models. Use when the user wants to audit fine-tuning support, check if fine-tune base models are still valid, or mentions fine-tune model deprecation.