Skills multi-agent-patterns
๐Ÿ“ฆ

multi-agent-patterns

Content revision r2 Safe โš™๏ธ External commands๐ŸŒ Network access

Design Reliable Multi-Agent Systems

Complex agent workflows can lose context, diverge, or waste tokens through poor coordination. This skill provides practical architecture patterns, handoff protocols, and failure controls.

Supports: Claude Codex Code(CC)
๐Ÿฅ‰ 78 Bronze

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/sickn33-multi-agent-patterns.md and its manifest at https://skillstore.io/api/skills/sickn33-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 multi-agent workflow for researching and writing a technical report.

Expected outcome:

  • Pattern: supervisor with parallel research workers.
  • Roles: source researcher, evidence analyst, fact-checker, and writer.
  • Control: validate citations before forwarding verified findings to the writer.
  • Termination: stop after coverage and contradiction checks pass.

Using "multi-agent-patterns". Should a customer support router use a swarm or supervisor?

Expected outcome:

Use a supervisor router because request categories are explicit and oversight matters. Add direct specialist responses after validation to preserve detail.

Using "multi-agent-patterns". Review an agent debate that never reaches a decision.

Expected outcome:

  • Risk: repeated critique consumes tokens without improving evidence.
  • Control: set a round limit and require each critique to add unique evidence.
  • Decision: use weighted confidence after the final round, then escalate unresolved conflicts.

Security Audit

Safe
v5 โ€ข 8/4/2026 Open versioned report

All 19 static findings are false positives caused by Markdown fences, benign Python examples, ordinary prose, and documentation links. No command execution, unsolicited network request, reconnaissance, prompt injection, or data-exfiltration intent appears in SKILL.md.

1
Files scanned
262
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†’
Share & cite this report

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Open versioned report
Security Assessment

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Academic citations (APA ยท BibTeX ยท CFF)

APA citation

sickn33. (2026). multi-agent-patterns security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-multi-agent-patterns/audits/5

BibTeX citation

@techreport{sickn33-sickn33-multi-agent-patterns-2026, author = {sickn33}, title = {multi-agent-patterns security audit report (audit version 5)}, institution = {Skillstore}, year = {2026}, number = {5}, url = {https://skillstore.io/skills/sickn33-multi-agent-patterns/audits/5}, 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 5)" version: "unspecified" type: report authors: - name: "sickn33" date-released: "2026-08-04" url: "https://skillstore.io/skills/sickn33-multi-agent-patterns/audits/5" identifiers: - type: other value: "skillstore:sickn33-multi-agent-patterns:audit:5" 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 Current

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
55
Architecture
85
Maintainability
87
Content
69
Community
83
Spec Compliance

What You Can Build

Plan a research agent team

Design parallel research, analysis, verification, and writing roles with clear aggregation rules.

Choose an orchestration pattern

Compare centralized supervision, direct handoffs, and layered execution for a planned product workflow.

Review coordination failures

Identify context bottlenecks, divergence risks, and missing validation controls in an existing agent design.

Try These Prompts

Select a basic pattern
Recommend a multi-agent pattern for [task]. Explain why it fits, define each agent, and describe the final result flow.
Design agent handoffs
Design handoffs for [workflow]. Define routing conditions, required state, output validation, fallback behavior, and termination rules.
Evaluate architecture tradeoffs
Compare supervisor, peer-to-peer, and hierarchical designs for [system]. Assess latency, token cost, context isolation, oversight, scalability, and failure propagation.
Audit a production design
Review this multi-agent design: [design]. Find bottlenecks, unsafe handoffs, divergence paths, weak consensus, missing observability, and error propagation risks. Propose measurable controls.

Best Practices

  • Give each agent a narrow objective, required inputs, output contract, and termination condition.
  • Validate outputs before handoff and preserve full responses when supervisor summarization would remove important detail.
  • Measure token use, latency, retries, handoff failures, and progress toward shared goals.

Avoid

  • Do not create multiple agents when one agent can complete the task within its context.
  • Do not let agents hand off work without explicit state, ownership, and convergence rules.
  • Do not use simple majority voting when agents have unequal expertise or share the same weak evidence.

Frequently Asked Questions

When should I use multiple agents?
Use them when work decomposes naturally, requires separate contexts or tools, or benefits from parallel execution.
Which architecture is easiest to control?
A supervisor architecture offers centralized routing, global state, and clear human oversight.
When is a peer-to-peer design appropriate?
Use direct handoffs for exploratory workflows with changing requirements and well-defined transfer protocols.
How can I prevent agent divergence?
Set objective boundaries, progress checks, execution limits, and clear termination conditions for every agent.
How should agents reach consensus?
Prefer weighted confidence or structured debate over simple majority voting, then verify the supporting evidence.
Does this skill implement a framework?
No. It provides design guidance and examples that require adaptation to your chosen framework and environment.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Ref

81e05e636292629114b76cbb3922fbe57672fc02

Maintenance freshness

8/5/2026

Usage

10 downloads ยท 125 views

File structure

๐Ÿ“„ SKILL.md