multi-agent-patterns
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.
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/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
SafeAll 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.
Risk Factors
โ๏ธ External commands (12)
๐ Network access (5)
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<a href="https://skillstore.io/skills/sickn33-multi-agent-patterns?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/sickn33-multi-agent-patterns/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/sickn33-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 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/5BibTeX 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 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 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
Recommend a multi-agent pattern for [task]. Explain why it fits, define each agent, and describe the final result flow.
Design handoffs for [workflow]. Define routing conditions, required state, output validation, fallback behavior, and termination rules.
Compare supervisor, peer-to-peer, and hierarchical designs for [system]. Assess latency, token cost, context isolation, oversight, scalability, and failure propagation.
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?
Which architecture is easiest to control?
When is a peer-to-peer design appropriate?
How can I prevent agent divergence?
How should agents reach consensus?
Does this skill implement a framework?
Developer Details
Author
sickn33License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Repository
https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/multi-agent-patternsRef
81e05e636292629114b76cbb3922fbe57672fc02
Maintenance freshness
8/5/2026
Usage
10 downloads ยท 125 views
File structure
๐ SKILL.md