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.

Quality

60%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./skills/agent-orchestration-multi-agent-optimize/SKILL.md

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 skill is marketing-flavored padding around thin, non-executable code. The core intent and a basic workflow are present but buried under generic bullets and stub functions, with no reference files to offload detail.

Suggestions

Cut the marketing prose (Context/Core Capabilities) and vague bullet lists that restate known concepts; keep only instructions and concrete examples to raise conciseness.

Replace stub code (undefined semantic_truncate, PriorityQueue, PerformanceTracker, and the pass-only select_optimal_model) with complete, executable examples or remove them.

Add explicit validation checkpoints with rollback commands to the Instructions workflow, since the skill deploys orchestration changes that can cause system-wide regressions.

Dimension	Reasoning	Score
Conciseness	Noticeably verbose: padded marketing prose ('advanced AI-driven framework', 'cutting-edge AI orchestration techniques', 'holistically improve') and many bullet lists restating concepts Claude already knows, stretching well past 200 lines for a conceptually simple skill.	2 / 5
Actionability	Several code snippets are included, but most are non-executable stubs (semantic_truncate, PriorityQueue, PerformanceTracker are undefined) and select_optimal_model is a pass-only placeholder, leaving guidance incomplete rather than copy-paste ready.	3 / 5
Workflow Clarity	A 4-step instruction list and two reference workflows are present with a validation/rollback mention, but steps are abstract and lack concrete checkpoints or error-recovery loops; the feedback-loop cap applies since the skill deploys batch orchestration changes.	3 / 5
Progressive Disclosure	Content is organized into numbered sections, but it is a single monolithic SKILL.md with no bundle files and no one-level-deep references, so structure exists yet detail is not offloaded to separate files.	3 / 5
	Total	11 / 20 Passed

Description

78%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.

A solid third-person description that explicitly covers both what and when with natural trigger terms. Specificity is the weakest dimension because the action list is conceptual rather than concretely enumerated.

Dimension	Reasoning	Score
Specificity	Names the domain (multi-agent systems) and 2 concrete action clusters (profiling, workload distribution, cost-aware orchestration), but these are broad categories rather than tightly enumerated concrete actions like the score-4/5 anchors.	3 / 5
Completeness	Explicitly answers both what ('Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration') and when ('Use when improving agent performance, throughput, or reliability') with a concrete trigger phrase.	5 / 5
Trigger Term Quality	Good coverage of natural terms a user would say ('multi-agent systems', 'agent performance', 'throughput', 'reliability'); a few common synonyms (e.g. agent swarms, latency tuning) are missing.	4 / 5
Distinctiveness Conflict Risk	Clear niche around multi-agent orchestration with distinct triggers and minimal conflict risk; minor overlap possible with general performance-tuning or single-agent optimization skills.	4 / 5
	Total	16 / 20 Passed

Validation

93%

Warnings & errors only

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

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: sickn33/antigravity-awesome-skills
Path: skills/agent-orchestration-multi-agent-optimize/SKILL.md
Commit: 1f67c44

Reviewed: about 16 hours ago

Table of Contents

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