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Skills multi-agent-patterns
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multi-agent-patterns
Content revision r2 Safe ⚙️ External commands🌐 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)
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
Safev5 • 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
Risk Factors
⚙️ External commands (12)
🌐 Network access (5)
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 →
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/sickn33-multi-agent-patterns/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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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 · BibTeX · 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
Higher Skillstore usage
Author / source Skillstore Score Evidence Confidence Skillstore usage Updated
ChakshuGautam Recommended
chakshugautam-multi-agent-patterns
Skillstore Score 80
Evidence Confidence High
Skillstore usage 23
Updated
2026-09-09
muratcankoylan-multi-agent-patterns
Skillstore Score 80
Evidence Confidence High
Skillstore usage 18
Updated
2026-09-09
asmayaseen-multi-agent-patterns
Skillstore Score 80
Evidence Confidence High
Skillstore usage 14
Updated
2026-09-09
sickn33 Current
sickn33-multi-agent-patterns
Skillstore Score 78
Evidence Confidence High
Skillstore usage 12
Updated
2026-09-09
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
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 · 125 views
File structure
📄 SKILL.md
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