From fable5-skills
Picks and re-evaluates effort levels for Claude Fable 5 workloads. Use when designing pipelines that mix routine and hard tasks, or when porting older model harnesses.
How this skill is triggered — by the user, by Claude, or both
Slash command
/fable5-skills:effort-routerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Effort is the dial that trades intelligence for latency and cost on Fable 5. Two mistakes dominate: carrying over an old model's default effort unexamined, and picking one effort for an entire pipeline instead of per task class.
Effort is the dial that trades intelligence for latency and cost on Fable 5. Two mistakes dominate: carrying over an old model's default effort unexamined, and picking one effort for an entire pipeline instead of per task class.
high is the API default and the right starting point for most analysis, writing, and agentic/coding work.medium (or low when latency is visible to a user) for routine transforms: classification, short edits, formatting.xhigh only for the tasks that actually need it: large migrations, one-way-door changes, multi-day autonomous runs.max almost never — reserve it for problems where xhigh measurably fell short, not as a default upgrade.If you're migrating a harness built for Opus 4.7 or 4.8, don't keep xhigh "because that's what coding needs" — that guidance was for the older model. Re-test at high first; Fable 5 at high frequently matches or beats an older model at xhigh.
A triage step at low/medium that escalates only the cases that need it to high/xhigh beats any single fixed setting across a mixed workload — see job_packet/packet.py in this repo for a working example: prep and execute run cheap, plan_or_audit spends the premium effort only where judgment is dense.
Before shipping a pipeline's effort settings, ask: if I doubled every effort level, would output quality visibly improve? If not, you're overpaying somewhere.
npx claudepluginhub kenhuangus/fable5 --plugin fable5-skillsGuides effort level selection (low/medium/high/xhigh/max) for Claude Fable 5 workloads. Optimizes cost and latency with adjustment signals and pipeline routing patterns.
Breaks a request into subtasks, classifies each by difficulty (T1-T4, R, C), and dispatches each to an effort-calibrated worker agent so cheap parts run cheap and hard parts get full reasoning.
Sets oma reasoning effort level (low/medium/high/xhigh) to balance depth, rigor, latency, and token costs. Use before planning, execution, or heavy validation rounds.