Skills multi-agent-patterns
๐Ÿ“ฆ

multi-agent-patterns

Content revision r2 Safe ๐Ÿ“ Filesystem accessโš™๏ธ External commands๐ŸŒ Network access

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.

Supports: Claude Codex Code(CC)
๐Ÿฅˆ 80 Silver

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
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.

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

Safe
v8 โ€ข 8/9/2026 Open versioned report

All 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.

3
Files scanned
1,316
Lines analyzed
0
Review items
0
False positives ignored
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History โ†’
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Open versioned report
Security Assessment

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Academic citations (APA ยท BibTeX ยท 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/8

BibTeX 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 variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Higher Skillstore usage
ChakshuGautam Recommended

chakshugautam-multi-agent-patterns

Skillstore Score 80
Evidence Confidence High
Skillstore usage 23
Updated

2026-08-21

muratcankoylan-multi-agent-patterns

Skillstore Score 80
Evidence Confidence High
Skillstore usage 17
Updated

2026-08-21

asmayaseen-multi-agent-patterns

Skillstore Score 80
Evidence Confidence High
Skillstore usage 13
Updated

2026-08-21

sickn33-multi-agent-patterns

Skillstore Score 78
Evidence Confidence High
Skillstore usage 11
Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High
64
Architecture
85
Maintainability
87
Content
71
Community
83
Spec Compliance

What 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 an architecture
Choose a multi-agent pattern for [task]. Explain why multiple agents are justified, required roles, handoffs, and main trade-offs.
Design a supervisor workflow
Design a supervisor workflow for [goal] with three workers. Define routing, worker inputs, outputs, aggregation, and failure handling.
Create a swarm protocol
Create a peer-to-peer handoff protocol for [domain]. Specify transfer conditions, state fields, acknowledgments, timeouts, and convergence checks.
Audit a production topology
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?
Use them when tasks decompose cleanly, need isolated contexts, or require distinct tools and instructions.
Which topology should I choose?
Choose supervisors for controlled decomposition, swarms for dynamic handoffs, and hierarchies for layered planning and execution.
Does this skill run real agents?
No. The included Python workflow simulates worker responses and requires integration with an agent runtime.
How should agents share state?
Prefer minimal instructions for simple tasks and controlled persistent storage for complex shared state.
How can I prevent consensus errors?
Use weighted evidence, adversarial critique, independent verification, and explicit convergence criteria.
Which frameworks are covered?
The reference includes implementation patterns for LangGraph, AutoGen, and CrewAI.

Developer Details

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Ref

02be9409c79ca1183f7844009c14d9df684d0cf9

Maintenance freshness

8/12/2026

Usage

15 downloads ยท 265 views

File structure

๐Ÿ“ references/

๐Ÿ“„ frameworks.md

๐Ÿ“ scripts/

๐Ÿ“„ coordination.py

๐Ÿ“„ SKILL.md

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