oaustegard/claude-skills · agent-routing/SKILL.md

agent-routing skillA

Decide which model, effort level, and cascade shape each subagent gets, and how to keep improvement loops safe (evaluator-as-selector, stop on regression). Routes on measured cost-per-completed-task rather than per-token price, because a tier's token count varies more by task shape than price varies across tiers. Covers per-model effort semantics, the concision lever, cascade preconditions, context handoff, and watching a subagent fan-out live. Use when spawning subagents via the Agent or Workfl

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Versions

versioncommittedcommitsizeaudit
v2.1.0 latest2026-09-04 aa42cd7 19,425 BA view · diff
v2.0.02026-08-18 705addc 15,658 BA view · diff
v1.4.02026-08-16 27da81d 13,097 BA view · diff
v1.3.02026-07-24 4118be3 11,798 BA view · diff
v1.2.02026-07-16 1ccd62f 7,232 BA view

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A  17 of 17 checks passed. Deterministic, no model, same answer every run.

Source

GitHub

oaustegard/claude-skills · 147 stars · license MIT · pushed 2026-09-05 · branch main

API

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GET https://markdownregistry.com/api/v1/blob/c79a17c2dfa3a0d2d242563bff0e061ca997e2ef567a1700f652c4b69434447c