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---
name: content-repurpose-studio
description: "Transform one source asset into a coordinated pack for multiple channels"
---
# Content Repurpose Studio
## 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`.
