agent-orchestration-multi-agent-optimize
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
36
33%
Does it follow best practices?
Impact
—
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Passed
No known issues
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npx tessl skill review --optimize ./skills/antigravity-agent-orchestration-multi-agent-optimize/SKILL.mdQuality
Discovery
67%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description has good structural completeness with both 'what' and 'when' clauses, but suffers from somewhat abstract, buzzword-heavy language in its capability listing. The domain is reasonably specific (multi-agent systems) but the action terms read more like marketing copy than concrete operations, and the trigger terms could be more natural and varied.
Suggestions
Replace abstract terms like 'coordinated profiling' and 'cost-aware orchestration' with more concrete actions, e.g., 'profile agent execution times, distribute tasks across agents, track and reduce API costs'.
Expand trigger terms in the 'Use when' clause with more natural user language, e.g., 'Use when agents are slow, tasks need load balancing, agent API costs are too high, or multi-agent pipelines need debugging'.
| 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 and buzzword-heavy 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, cost-aware orchestration) and 'when' (Use when improving agent performance, throughput, or reliability) with an explicit 'Use when...' clause. | 3 / 3 |
Trigger Term Quality | Includes some relevant terms like 'multi-agent systems', 'agent performance', 'throughput', and 'reliability', but these are fairly technical. Missing common natural variations users might say like 'agents are slow', 'scaling agents', 'agent bottleneck', '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 overlap with general performance optimization or system monitoring skills. 'Workload distribution' could also conflict with load balancing or infrastructure skills. | 2 / 3 |
Total | 9 / 12 Passed |
Implementation
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is a verbose, abstract document that reads more like a marketing overview of multi-agent optimization concepts than actionable guidance. It explains things Claude already knows, provides non-executable pseudocode with fictional classes, and lacks any concrete tools, commands, or validation steps. The content would need to be fundamentally rewritten to provide actual value.
Suggestions
Replace all pseudocode with executable examples using real libraries/tools, or provide concrete CLI commands and actual configuration patterns for multi-agent orchestration frameworks.
Cut sections 4-8 entirely (Parallel Execution, Cost Optimization, Latency Reduction, Quality Tradeoffs, Monitoring) — they are abstract bullet lists that add no actionable information Claude doesn't already know.
Add concrete validation checkpoints to workflows: specific metrics to check, specific commands to run, specific thresholds that indicate success or failure before proceeding.
Remove the 'Role' and 'Context' sections, the 'Core Capabilities' bullet list, and the 'Arguments Handling' section with undefined variables — these are filler that consume tokens without providing actionable guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose with extensive padding. Explains concepts Claude already knows (what profiling is, what parallel execution is, what caching is). Sections like 'Core Capabilities', 'Context', and 'Role' are pure filler. The 'AI-Powered Multi-Agent Performance Engineering Specialist' framing adds zero actionable value. Many sections are just bullet-point lists of abstract concepts with no concrete guidance. | 1 / 3 |
Actionability | Code examples are pseudocode referencing non-existent classes (DatabasePerformanceAgent, semantic_truncate, PerformanceTracker) with placeholder `pass` statements. Nothing is executable or copy-paste ready. The 'Arguments Handling' section uses undefined variables ($TARGET, $ARGUMENTS). Reference workflows are vague 4-step abstractions with no concrete commands or tools. | 1 / 3 |
Workflow Clarity | The initial 4-step instruction sequence is too abstract to be actionable ('Profile agent workloads and identify coordination bottlenecks'). Reference workflows are equally vague ('Initial performance profiling' → 'Agent-based optimization'). No validation checkpoints, no error recovery steps, no concrete sequencing of operations. Missing feedback loops entirely despite the destructive/batch nature of orchestration changes. | 1 / 3 |
Progressive Disclosure | Monolithic wall of text with 8 numbered sections all inline, many of which are shallow and repetitive. No references to external files despite the content being long enough to warrant splitting. Sections like 'Parallel Execution Optimization' and 'Latency Reduction Techniques' are just bullet lists that could be removed or consolidated. No bundle files exist to support any structure. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- boisenoise/skills-collections
- Commit
cfced3a
- Reviewed
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