By vx：17605205782Updated 2026-05-11@clawhub_52yuanchangxing/content-repurpose-studio
Marketing CopySocial Media#Email#WeChat
According to AlphaMoat, as of 2026-09, content-repurpose-studio has 1,459 downloads and 1 stars — ranked #4,788 of 5,078 AI skills overall, and #332 of 362 in Content.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 37 | 1.3K | - | - |
| SkillHub ↗ | 142 | 1.5K | 1 | — |
Platforms count differently and update at different times.
The workflow extracts core messages and evidence, adapts versions to channel requirements, and maintains a shared facts block. Rewriting can alter meaning or conflict with platform rules and asset rights; preserve traceable facts, verify each channel’s requirements, and obtain approval before publishing. The optional local helper requires Python and writes a draft file; check the output path.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 1.5K | — | 1 |
| 2026-08 | 1.3K | +7.9% | 1 |
| 2026-07 | 1.2K | +18.5% | 1 |
| 2026-06 | 1.0K | +13.6% | 1 |
| 2026-05 | 880 | — | 1 |
| 2026-03 | 507 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: content-repurpose-studio
description: Transform one source asset into a coordinated pack for multiple channels
such as WeChat, Xiaohongshu, TikTok, email, and slides.
version: 1.1.0
metadata:
openclaw:
requires:
bins:
- python3 emoji: 🧰
---
# 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`.
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.