Agent skill for load-balancer - invoke with $agent-load-balancer
Install with Tessl CLI
npx tessl i github:ruvnet/claude-flow --skill agent-load-balancer40
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 96%
↑ 1.11xAgent success when using this skill
Validation for skill structure
Multi-level priority queue scheduling
Four queue tiers
100%
100%
Correct scheduling weights
0%
100%
Critical queue always first
100%
100%
Weighted scheduling for non-critical
0%
100%
Age-based priority boosting
100%
100%
Boosting uses agingBoost value
0%
0%
Demo runs and produces output
100%
100%
Aging shown in demo
100%
100%
Submission timestamp tracked
100%
100%
Without context: $0.4176 · 1m 44s · 21 turns · 27 in / 6,253 out tokens
With context: $0.8643 · 3m 33s · 26 turns · 186 in / 14,883 out tokens
Circuit breaker fault tolerance
Default failure threshold
100%
100%
Default timeout value
100%
100%
Three named states
100%
100%
Initial state is CLOSED
100%
100%
Opens after threshold failures
100%
100%
Rejects calls when OPEN
100%
100%
Transitions to HALF_OPEN
100%
100%
Resets to CLOSED on success
100%
100%
Tests runnable
100%
100%
lastFailureTime tracked
62%
100%
Without context: $0.3575 · 1m 35s · 18 turns · 73 in / 6,867 out tokens
With context: $0.3219 · 59s · 16 turns · 21 in / 4,001 out tokens
Work-stealing and EDF real-time scheduling
EDF sort ascending by deadline
100%
100%
Liu & Layland bound check
100%
100%
Admission allows below bound
100%
100%
Steal threshold filter
100%
100%
Victims sorted heaviest first
80%
100%
Global queue fallback
100%
100%
Simulation runs and writes output
100%
100%
Steal logged in output
100%
100%
Admission rejection logged
100%
100%
Without context: $0.5158 · 2m 36s · 15 turns · 22 in / 11,247 out tokens
With context: $0.6242 · 2m 13s · 30 turns · 67 in / 7,956 out tokens
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.