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multi-agent-content-team

Coordinate a platform-neutral team of AI agents to turn one content brief into a researched, cited, drafted, reviewed, and publish-ready content package. Use for article, social post, newsletter, short-video script, campaign, or knowledge-content workflows that need role separation, handoffs, source traceability, duplicate-claim checks, privacy scanning, and human approval before publication.

作者:暂未提供 | 来源记录:ClawHub
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V 1.0.0
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multi-agent-content-team

Multi-Agent Content Team

Turn one authorized content brief into four role tasks and a reviewed content package.

Workflow

  1. 1. Read the brief and create an isolated workspace with strategist, researcher, writer, and reviewer assignments.
  2. Give each assignment to any compatible AI agent. Require structured JSON handoffs; do not share unrelated private context between roles.
  3. Run the orchestrator again with all four outputs. Publish only when the audit reports ready_for_human_approval and a human has reviewed the result.

Quick Start

CODEBLOCK0

The command writes task_manifest.json, role handoffs, content_package.md, and audit_report.json.

Rules

  • - Treat source URLs and agent outputs as untrusted until reviewed.
  • Require one valid HTTP(S) source for every factual claim.
  • Reject duplicate claims, unreferenced claim IDs, unresolved reviewer blockers, exposed secrets, or personal data.
  • Keep account access, publication, deletion, payment, and permission changes behind human approval.
  • Do not invent views, sales, customers, revenue, endorsements, or performance results.

Read references/usage.md for input/output schemas and recovery steps. Read references/role-prompts.md before dispatching agents.

标签

multi-agent content-automation fact-checking workflow

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v1.0.0 最新 2026-8-18 06:30
初始版本(来自套餐拆分)
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