multi-agent-patterns

This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.

Quality

82%

Does it follow best practices?

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Securityby

Passed

No known issues

Quality

Content

65%

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

The content is highly actionable with executable code and specific heuristics, but it is conceptually verbose in places and its progressive disclosure is weakened by an unreferenced script bundle. Workflow guidance is well-sequenced but lacks explicit validation feedback loops.

Suggestions

Tighten or move the conceptual exposition in "The Context Bottleneck" and "The Specialization Argument" into the reference file, since these explain concepts Claude already knows.

Reference scripts/coordination.py from the body with a 'Read when' clause so the bundle is discoverable, or remove it if unused.

Add explicit validation/retry checkpoints (e.g., a verify-after-build step) to the failure-mode mitigation workflows to earn a higher workflow-clarity score.

Dimension	Reasoning	Score
Conciseness	The 260-line body is mostly efficient with tables and code, but includes conceptual exposition (lost-in-middle effect, attention scarcity, the specialization argument) that explains ideas Claude already knows and could be tightened, fitting the mid anchor rather than the lean top anchor.	2 / 3
Actionability	Provides executable Python (forward_message, transfer_to_agent_b, handle_customer_request) plus concrete numeric heuristics (3-5 worker cap, 15x budget, time-to-live limits) that are copy-paste ready, matching the fully executable top anchor.	3 / 3
Workflow Clarity	Sequences are present (activation criteria, pattern selection, failure-mode-to-mitigation pairs, numbered guidelines), but validation checkpoints are implicit rather than explicit validate-fix-retry feedback loops, fitting the mid anchor.	2 / 3
Progressive Disclosure	Sections are well organized and one reference (frameworks.md) is clearly signaled at one level deep, but the scripts/coordination.py bundle is never referenced from the body, leaving a navigation gap that keeps it at the mid rather than top anchor.	2 / 3
	Total	9 / 12 Passed

Description

100%

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 strong: it names concrete capabilities, uses natural trigger terms, explicitly answers both what and when, and carves out a distinct niche from adjacent skills. It is concise without padding and uses appropriate third-person voice.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities — "context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution" — rather than vague language, matching the top anchor.	3 / 3
Completeness	Explicitly answers both what ("designing multi-agent systems") and when ("This skill should be used when...") with explicit trigger guidance, satisfying the top anchor.	3 / 3
Trigger Term Quality	Uses natural terms users would say ("multi-agent systems", "supervisor or swarm coordination", "explicit handoffs", "parallel execution") with good coverage of common variations.	3 / 3
Distinctiveness Conflict Risk	Targets a clear niche (multi-agent architecture design) with distinct triggers and a "decision on whether multiple agents are justified" framing that is unlikely to conflict with adjacent skills.	3 / 3
	Total	12 / 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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: muratcankoylan/Agent-Skills-for-Context-Engineering
Commit: c578e85

Reviewed: 7 days ago

Table of Contents

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