content-repurpose-studio

Transform one source asset into a coordinated pack for multiple channels such as WeChat, Xiaohongshu, TikTok, email, and slides.

Purpose

Transform one source asset into a coordinated pack for multiple channels such as WeChat, Xiaohongshu, TikTok, email, and slides.

Trigger phrases

• 一稿多发
• repurpose this content
• 内容分发改写
• multi-channel content pack
• 同一内容改成多平台

Ask for these inputs

• source article/video/transcript
• target channels
• brand voice
• CTA
• length constraints

Workflow

1. Identify the core message, proof, and CTA from the source.
2. Map channel-specific constraints using the bundled channel specs.
3. Produce platform-native variants instead of shallow copies.
4. Keep a shared facts block so claims remain consistent across channels.
5. Return a launch checklist with filenames and publishing order.

Output contract

• channel pack
• shared facts block
• launch checklist
• reuse matrix

Files in this skill

• Script: {baseDir}/scripts/channel_packager.py
• Resource: {baseDir}/resources/channel_specs.yaml

Operating rules

• Be concrete and action-oriented.
• Prefer preview / draft / simulation mode before destructive changes.
• If information is missing, ask only for the minimum needed to proceed.
• Never fabricate metrics, legal certainty, receipts, credentials, or evidence.
• Keep assumptions explicit.

Suggested prompts

• 一稿多发
• repurpose this content
• 内容分发改写

Use of script and resources

Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft. Use the resource file as the default schema, checklist, or preset when the user does not provide one.

Boundaries

• This skill supports planning, structuring, and first-pass artifacts.
• It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.

Compatibility notes

• Directory-based AgentSkills/OpenClaw skill.
• Runtime dependency declared through metadata.openclaw.requires.
• Helper script is local and auditable: scripts/channel_packager.py.
• Bundled resource is local and referenced by the instructions: resources/channel_specs.yaml.