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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.

72

3.00x
Quality

66%

Does it follow best practices?

Impact

96%

3.00x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/agent-orchestration-multi-agent-optimize/SKILL.md

The canonical home for this skill is agent-orchestration-multi-agent-optimize in rmyndharis/antigravity-skills

SKILL.md
Quality
Evals
Security

Quality

Content

42%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body reads as marketing-adjacent padding wrapped around thin, non-executable code examples. The core workflow skeleton (baseline → profile → apply → validate) is present but unsupported by runnable commands or concrete checkpoints, and the detail content belongs in reference files rather than the main SKILL.md.

Suggestions

Cut the 'Role', 'Context', 'Core Capabilities', and buzzword-only sections (4, 6, 7, 8) — they restate the description in grander language and add no actionable guidance; aim for a lean overview that assumes Claude's competence.

Make the code examples executable or remove them: define or import the referenced agents and helpers (semantic_truncate, aggregate_performance_metrics, concurrent.futures), and replace the CostOptimizer 'pass' stub with real selection logic.

Split the detailed material (profiling agents, orchestration framework, reference workflows) into one-level-deep reference files (e.g., references/profiling.md, references/orchestration.md) and keep SKILL.md as a concise overview with clear pointers.

DimensionReasoningScore

Conciseness

The body is heavily padded: the 'Role' and 'Context' sections ('advanced AI-driven framework designed to holistically improve... cutting-edge AI orchestration techniques'), 'Core Capabilities' duplicating the description, and sections 4, 6, 7, and 8 that are pure bullet lists of buzzword abstractions ('Intelligent result memoization', 'Adaptive optimization strategies'). It falls between the severely-verbose anchor 1 and the noticeably-verbose anchor 2 — padded throughout, though it does not extensively explain concepts Claude already knows.

2 / 5

Actionability

Code examples exist but are not executable: they reference undefined classes and functions (DatabasePerformanceAgent, semantic_truncate, aggregate_performance_metrics, PriorityQueue, PerformanceTracker), use concurrent.futures without importing it, and CostOptimizer.select_optimal_model is a 'pass' stub. This matches the anchor for pseudocode instead of executable code with missing key details, rather than anchor 4's executable guidance.

3 / 5

Workflow Clarity

The Instructions section lists a rough 4-step sequence (baseline metrics, profile, apply incrementally, validate) and validation is mentioned ('Validate improvements with repeatable tests and rollbacks'), but there are no concrete checkpoint commands or error-recovery loops — matching the anchor for steps listed with validation gaps and implicit checkpoints, not the clearly-validated anchor 4.

3 / 5

Progressive Disclosure

Sections are labeled and organized, but roughly 230 lines of detail (profiling agents, orchestration framework code, reference workflows) are inlined in SKILL.md with no bundle files and no pointers to separate reference files, matching the anchor for some structure with content that should be separate kept inline.

3 / 5

Total

11

/

20

Passed

Description

75%Weight 40%Scale 1-5

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 is solid: it names the domain, lists three concrete actions, and includes an explicit 'Use when' trigger clause in natural language. It stops short of excellence because the actions are somewhat abstract and the trigger list omits common variations like latency, bottlenecks, or cost.

DimensionReasoningScore

Specificity

The description lists several specific actions — 'coordinated profiling, workload distribution, and cost-aware orchestration' — with only minor gaps in coverage, matching the anchor for several specific actions; it falls short of a 5 because the actions are stated at a high level without comprehensive concrete detail.

4 / 5

Completeness

It has both a clear 'what' ('Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration') and an explicit 'when' clause ('Use when improving agent performance, throughput, or reliability'), but the 'when' could be more specific with additional concrete triggers, matching the anchor for both present with room for more explicitness.

4 / 5

Trigger Term Quality

'improving agent performance, throughput, or reliability' are natural phrases users would say, but common variations like 'latency', 'bottleneck', or 'cost' are missing, matching the anchor for good keyword coverage with a few natural terms missing rather than the synonym-complete top anchor.

4 / 5

Distinctiveness Conflict Risk

'Multi-agent systems' optimization is a clear niche with distinct triggers and is mostly distinguishable from other skills, with only minor overlap risk against general performance- or cost-optimization skills, matching the 'mostly distinct' anchor rather than the minimal-conflict top anchor.

4 / 5

Total

16

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/AI-Agents-Safe-Coding-Skills-claude/skills/agent-orchestration-multi-agent-optimize/SKILL.md

Reviewed

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