multi-agent-patterns
Design Reliable Multi-Agent Systems
Multi-agent designs often add cost and coordination failures without improving outcomes. This skill helps select topologies, handoffs, consensus methods, and recovery controls.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "multi-agent-patterns" from https://skillstore.io/skills/muratcankoylan-multi-agent-patterns.md and its manifest at https://skillstore.io/api/skills/muratcankoylan-multi-agent-patterns/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "multi-agent-patterns". Design a research system for comparing three cloud platforms.
Expected outcome:
- Use one supervisor, three independent researchers, one verifier, and one writer.
- Researchers return source-linked findings through a fixed schema.
- The verifier resolves conflicts before the writer receives results.
Using "multi-agent-patterns". Review a seven-agent supervisor design for support triage.
Expected outcome:
- The supervisor is likely to become a context and latency bottleneck.
- Group specialists behind domain routers and cap direct workers per supervisor.
- Measure accuracy and cost against a single-agent routing baseline.
Using "multi-agent-patterns". Define failure controls for agent handoffs.
Expected outcome:
- Require acknowledgment with a handoff identifier and accepted state version.
- Apply bounded retries, exponential backoff, and a circuit breaker.
- Route failed transfers to a known backup agent and preserve audit history.
Security Audit
SafeAll 46 static findings are false positives caused by documentation syntax, ordinary Python identifiers, illustrative filesystem examples, or trusted documentation links. No command execution, credential exposure, reconnaissance, prompt injection, or malicious network behavior was found.
Risk Factors
📁 Filesystem access (4)
⚙️ External commands (25)
🌐 Network access (5)
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<iframe src="https://skillstore.io/embed/skills/muratcankoylan-multi-agent-patterns.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
muratcankoylan. (2026). multi-agent-patterns security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/muratcankoylan-multi-agent-patterns/audits/8BibTeX citation
@techreport{muratcankoylan-muratcankoylan-multi-agent-patterns-2026,
author = {muratcankoylan},
title = {multi-agent-patterns security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/muratcankoylan-multi-agent-patterns/audits/8},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "multi-agent-patterns security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "muratcankoylan"
date-released: "2026-08-09"
url: "https://skillstore.io/skills/muratcankoylan-multi-agent-patterns/audits/8"
identifiers:
- type: other
value: "skillstore:muratcankoylan-multi-agent-patterns:audit:8"
description: "Skillstore immutable audit report identifier"
Compare variants
4 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
chakshugautam-multi-agent-patterns
2026-08-21
muratcankoylan-multi-agent-patterns
2026-08-21
asmayaseen-multi-agent-patterns
2026-08-21
sickn33-multi-agent-patterns
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Plan a research workflow
Design parallel research, analysis, verification, and writing roles with clear aggregation rules.
Improve agent handoffs
Define state transfer, acknowledgments, validation, and timeout behavior for customer service routing.
Review architecture costs
Compare a proposed multi-agent topology with a single-agent baseline before implementation.
Try These Prompts
Choose a multi-agent pattern for [task]. Explain why multiple agents are justified, required roles, handoffs, and main trade-offs.
Design a supervisor workflow for [goal] with three workers. Define routing, worker inputs, outputs, aggregation, and failure handling.
Create a peer-to-peer handoff protocol for [domain]. Specify transfer conditions, state fields, acknowledgments, timeouts, and convergence checks.
Audit this multi-agent design: [design]. Compare costs, context boundaries, bottlenecks, error propagation, consensus quality, retries, and single-agent alternatives.
Best Practices
- Start with the fewest agents needed for genuine context isolation.
- Define typed handoffs, validation rules, timeouts, and ownership boundaries.
- Benchmark quality, latency, and token cost against a single-agent baseline.
Avoid
- Do not create agents only to imitate organizational job titles.
- Do not let supervisors repeatedly paraphrase complete worker responses.
- Do not use unweighted majority voting for critical factual decisions.
Frequently Asked Questions
When should I use multiple agents?
Which topology should I choose?
Does this skill run real agents?
How should agents share state?
How can I prevent consensus errors?
Which frameworks are covered?
Developer Details
Author
muratcankoylanLicense
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Ref
02be9409c79ca1183f7844009c14d9df684d0cf9
Maintenance freshness
8/12/2026
Usage
15 downloads · 265 views
File structure