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
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/antigravity-awesome-skills-claude/skills/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 a solid structure with both 'what' and 'when' clauses, which is its main strength. However, the capabilities listed lean toward abstract categories rather than concrete actions, and the trigger terms mix domain-specific jargon with overly broad performance terms that could cause conflicts with other optimization-related skills. The description would benefit from more specific actions and more distinctive trigger terms.
Suggestions
Replace abstract capability categories with concrete actions, e.g., 'Profile agent execution times, distribute workloads across agent pools, optimize API call costs, and configure retry/fallback strategies'.
Add more distinctive and natural trigger terms to the 'Use when' clause, e.g., 'Use when working with multi-agent architectures, agent swarms, agent coordination, parallel agent execution, or reducing agent API costs'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (multi-agent systems) and some actions (profiling, workload distribution, cost-aware orchestration), but these are somewhat abstract and not fully concrete—'coordinated profiling' and 'cost-aware orchestration' are more like categories than specific actions like 'extract text' or 'fill forms'. | 2 / 3 |
Completeness | Clearly answers both 'what' (optimize multi-agent systems with profiling, workload distribution, 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', 'reliability', and 'orchestration', but these are somewhat technical. Missing common user-facing variations like 'agents', 'scaling agents', 'agent latency', 'load balancing', or 'multi-agent architecture'. | 2 / 3 |
Distinctiveness Conflict Risk | The focus on 'multi-agent systems' provides some distinctiveness, but terms like 'performance', 'throughput', and 'reliability' are very broad and could overlap with general performance optimization, infrastructure, or monitoring skills. 'Orchestration' could also conflict with container/workflow orchestration 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 a hypothetical framework than actionable guidance. It explains concepts Claude already understands, provides non-executable pseudocode with undefined 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 specific CLI commands and concrete configuration patterns that Claude can actually use.
Remove the 'Role', 'Context', 'Core Capabilities' sections and all abstract bullet-point lists — these waste tokens explaining concepts Claude already knows.
Add concrete validation checkpoints to workflows (e.g., 'Run `pytest benchmarks/ --baseline=before.json` to verify improvement before proceeding').
Either dramatically reduce the scope to a single actionable workflow with real steps, or split into focused sub-files with a concise SKILL.md overview pointing to them.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose with extensive padding. Explains concepts Claude already knows (what profiling is, what coordination means, basic concurrency patterns). 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 substance. | 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 reference workflows are vague 4-step abstractions ('Initial performance profiling' → 'Agent-based optimization') with no concrete commands, tools, or specific guidance. The $ARGUMENTS/$TARGET variables are undefined placeholders. | 1 / 3 |
Workflow Clarity | The initial 4-step instructions are extremely high-level and vague ('Profile agent workloads and identify coordination bottlenecks'). The reference workflows at the end are equally abstract. No validation checkpoints, no error recovery steps, no concrete sequencing. For a skill involving orchestration changes that could cause system-wide regressions, the complete absence of validation/feedback loops is a critical gap. | 1 / 3 |
Progressive Disclosure | Monolithic wall of text with 8 numbered sections all inline, many of which are shallow bullet lists. No external references or supporting files despite the complexity warranting them. The content is poorly organized — the 'Role' and 'Context' section appears mid-document after instructions, and numbered sections mix conceptual overviews with pseudocode without clear hierarchy. | 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 | |
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- sickn33/antigravity-awesome-skills
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