multi-agent-patterns

This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.

Quality

53%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/multi-agent-patterns/SKILL.md

Quality

Discovery

37%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This description is fundamentally incomplete - it consists entirely of trigger conditions ('Use when...') without any explanation of what the skill actually does. While the trigger terms are well-chosen and comprehensive, the complete absence of capability description makes it impossible for Claude to understand what actions this skill enables or what outcomes it produces.

Suggestions

Add a capability statement at the beginning describing concrete actions, e.g., 'Designs and implements multi-agent architectures including supervisor patterns, swarm systems, and agent coordination strategies.'

Include specific deliverables or outputs the skill produces, such as 'Creates agent communication protocols, defines context boundaries, and implements handoff mechanisms.'

Restructure to follow the pattern: '[What it does]. Use when [triggers]' rather than only listing triggers.

Dimension	Reasoning	Score
Specificity	The description contains no concrete actions - it only lists trigger phrases without explaining what the skill actually does. There are no verbs describing capabilities like 'design', 'implement', or 'coordinate' as actions the skill performs.	1 / 3
Completeness	The description only answers 'when' (trigger conditions) but completely fails to answer 'what does this do'. There is no explanation of the skill's capabilities or actions - it's entirely composed of trigger phrases with no functional description.	1 / 3
Trigger Term Quality	Excellent coverage of natural trigger terms users would say: 'design multi-agent system', 'implement supervisor pattern', 'create swarm architecture', 'coordinate multiple agents', plus technical terms like 'context isolation', 'agent handoffs', 'sub-agents', 'parallel agent execution'.	3 / 3
Distinctiveness Conflict Risk	The trigger terms are fairly specific to multi-agent systems, but without describing what the skill actually does, it's unclear how it differs from other potential agent-related skills. Terms like 'coordinate multiple agents' could overlap with general orchestration skills.	2 / 3
	Total	7 / 12 Passed

Implementation

70%

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

This is a well-structured skill with excellent workflow clarity and progressive disclosure. The content provides valuable architectural guidance and failure mode analysis. However, it could be more concise by trimming explanatory content Claude already knows, and more actionable by replacing conceptual descriptions with executable code examples.

Suggestions

Replace pseudocode examples with fully executable Python implementations, particularly for the supervisor pattern and consensus mechanisms

Trim the 'Why Multi-Agent Architectures' section - Claude understands context windows and token economics; focus on the decision criteria instead

Add a concrete, end-to-end code example showing a minimal working multi-agent system rather than just architectural diagrams

Dimension	Reasoning	Score
Conciseness	The skill is comprehensive but includes some unnecessary elaboration that Claude would already know, such as explaining what context windows are and basic concepts about LLMs. The token economics section and some explanatory passages could be tightened while preserving the valuable concrete guidance.	2 / 3
Actionability	Provides some concrete code examples (handoff protocol, forward_message function) but many sections remain at the conceptual level with pseudocode or architectural diagrams rather than executable implementations. The examples section shows structure but not runnable code.	2 / 3
Workflow Clarity	Multi-step processes are clearly sequenced with explicit patterns (supervisor, peer-to-peer, hierarchical). The failure modes section provides clear validation checkpoints and error recovery guidance. The gotchas section explicitly addresses feedback loops and error propagation cascades.	3 / 3
Progressive Disclosure	Well-organized with clear sections progressing from concepts to patterns to practical guidance. References section appropriately points to external resources and related skills with clear 'Read when' guidance. Content is appropriately split between overview and detailed topics.	3 / 3
	Total	10 / 12 Passed

Validation

100%

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 — 11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository: muratcankoylan/Agent-Skills-for-Context-Engineering
Commit: 3ab8c94

Reviewed: 10 days ago

Table of Contents

Discovery Implementation Validation

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