agent-orchestration-multi-agent-optimize
tessl i github:sickn33/antigravity-awesome-skills --skill agent-orchestration-multi-agent-optimizeOptimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Validation
88%| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata' field is not a dictionary | Warning |
license_field | 'license' field is missing | Warning |
Total | 14 / 16 Passed | |
Implementation
35%This skill suffers from significant verbosity with marketing-style language and conceptual explanations that don't add value for Claude. While it attempts to provide code examples, they are pseudocode requiring substantial implementation rather than executable guidance. The structure is reasonable but the content-to-value ratio is poor.
Suggestions
Remove the 'Role' and 'Context' sections entirely - they add no actionable information and waste tokens on concepts Claude already understands
Replace pseudocode examples with executable code or remove them - functions like 'semantic_truncate' and 'DatabasePerformanceAgent' are undefined and not helpful
Add explicit validation checkpoints to workflows (e.g., 'Verify baseline metrics are captured before proceeding', 'Run regression tests after each orchestration change')
Split detailed sections (profiling agents, cost optimization, latency techniques) into separate reference files and keep SKILL.md as a concise overview with links
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose with unnecessary conceptual explanations ('AI-Powered Multi-Agent Performance Engineering Specialist', 'cutting-edge AI orchestration techniques'). Contains marketing-style language and explains concepts Claude already knows. The 'Role' and 'Context' sections add no actionable value. | 1 / 3 |
Actionability | Contains code examples but they are pseudocode with undefined functions (semantic_truncate, aggregate_performance_metrics, DatabasePerformanceAgent). The code is illustrative rather than executable - cannot be copy-pasted and run without significant implementation work. | 2 / 3 |
Workflow Clarity | The initial Instructions section provides a clear 4-step sequence, but the reference workflows are vague ('Agent-based optimization', 'Iterative performance refinement'). Missing explicit validation checkpoints and feedback loops for the optimization process despite dealing with potentially risky system changes. | 2 / 3 |
Progressive Disclosure | Content is organized into numbered sections which aids navigation, but it's a monolithic document with no references to external files. The 200+ lines of content could be split into separate reference documents for profiling, orchestration, and cost optimization. | 2 / 3 |
Total | 7 / 12 Passed |
Activation
67%This description has good structure with an explicit 'Use when' clause that clearly defines trigger conditions. However, the capabilities listed are somewhat abstract (profiling, orchestration) rather than concrete actions, and the trigger terms could be more comprehensive to capture natural user language variations around agent systems.
Suggestions
Add more concrete actions like 'analyze agent bottlenecks', 'distribute tasks across agents', 'monitor agent resource usage' to improve specificity
Expand trigger terms to include natural variations: 'agents', 'agent coordination', 'scaling agents', 'agent load balancing', 'agent costs'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (multi-agent systems) and lists some actions (coordinated profiling, workload distribution, cost-aware orchestration), but these are somewhat abstract concepts rather than concrete, actionable tasks like 'extract text' or 'fill forms'. | 2 / 3 |
Completeness | Clearly answers both what (optimize multi-agent systems with profiling, workload distribution, orchestration) and when (improving agent performance, throughput, or reliability) with an explicit 'Use when' clause. | 3 / 3 |
Trigger Term Quality | Includes relevant terms like 'agent performance', 'throughput', 'reliability', and 'multi-agent systems', but misses common variations users might say such as 'agents', 'scaling agents', 'agent coordination', 'load balancing', or 'agent costs'. | 2 / 3 |
Distinctiveness Conflict Risk | The multi-agent focus provides some distinctiveness, but terms like 'performance', 'throughput', and 'reliability' are generic enough to potentially overlap with general performance optimization or monitoring skills. | 2 / 3 |
Total | 9 / 12 Passed |
Reviewed
Table of Contents
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