spawn-parallel
Coordinate Parallel AI Subagents
Large AI tasks slow down when independent work is handled one step at a time. This skill helps teams split safe parallel work into bounded subagent tasks with clear outputs.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "spawn-parallel" from https://skillstore.io/skills/clouder0-spawn-parallel.md and its manifest at https://skillstore.io/api/skills/clouder0-spawn-parallel/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 "spawn-parallel". I need authentication, API routes, and database models explored before implementation.
Expected outcome:
- Three explorer tasks are proposed because each area can be read independently.
- Each task receives only the relevant file set and returns compact findings.
- The final step is to collect all results before planning implementation.
Using "spawn-parallel". One implementation agent failed because the database connection pattern was unclear.
Expected outcome:
- The recommended recovery is context enhancement with the missing configuration and connection references.
- The retry should keep the original task goal and request the same output destination.
- Repeated failures should move to scope reduction or escalation.
Using "spawn-parallel". Two agents may need to edit related service files at the same time.
Expected outcome:
- The plan separates ownership so each agent writes to a distinct file area.
- Shared interfaces are treated as read-only references unless a contract owner is assigned.
- Validation checks confirm outputs exist and match the agreed format.
Security Audit
SafeAll static findings are false positives caused by Markdown code fences, inline code formatting, or pseudocode examples. The skill provides multi-agent coordination guidance and does not contain executable shell commands, prompt injection text, or data exfiltration intent.
Risk Factors
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<iframe src="https://skillstore.io/embed/skills/clouder0-spawn-parallel.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
Clouder0. (2026). spawn-parallel security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/clouder0-spawn-parallel/audits/8BibTeX citation
@techreport{clouder0-clouder0-spawn-parallel-2026,
author = {Clouder0},
title = {spawn-parallel security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/clouder0-spawn-parallel/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: "spawn-parallel security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "Clouder0"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/clouder0-spawn-parallel/audits/8"
identifiers:
- type: other
value: "skillstore:clouder0-spawn-parallel:audit:8"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Split implementation work
Break independent coding tasks into bounded agent assignments with explicit file ownership.
Run parallel verification
Assign separate agents to inspect tests, behavior, and integration risks after a change.
Design repeatable agent workflows
Create a clear pattern for launching, collecting, and validating multi-agent results.
Try These Prompts
Use the spawn-parallel pattern to identify which parts of this request can run independently. List each task, its inputs, and any file conflicts.
Create focused subagent contexts for these independent tasks. Include the task goal, relevant files, ownership boundaries, read-only references, and expected output.
Design a parallel batch that uses explorer, implementer, verifier, and tester roles where appropriate. Explain why each task is independent and how results should be validated.
Review these parallel task results and apply the failure-handling rules. Recommend retry, context enhancement, scope reduction, escalation, or abort for each failed task.
Best Practices
- Define file ownership before launching parallel agents.
- Give each agent only the context needed for its task.
- Validate every output before combining results.
Avoid
- Do not parallelize tasks that depend on each other.
- Do not let multiple agents edit the same file without a contract.
- Do not retry failed tasks without adding useful context or reducing scope.