Multi Platform Content
Use when one topic should become a mother draft plus native posts for multiple platforms, with scoring, prediction, and retrospective built into the workflow.
Install
$ agentstack add skill-giantclam-auto-viral-article-writer-multi-platform-content ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-giantclam-auto-viral-article-writer-multi-platform-content) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Multi Platform Content
Use this skill when one core idea needs to become a complete multi-platform content package.
Use This For
- turning one topic into a WeChat mother draft and multiple platform-native variants
- running a controlled content workflow from draft to distribution to retro
- keeping article production, repurposing, scoring, and rubric evolution in one sequence
Do Not Use This For
- one-off article drafting with no distribution plan
- isolated cover-only work
- isolated image-only work
Inputs
- topic or source material
- target platforms
- optional audience
- optional launch goal
Outputs
- a WeChat mother draft
- platform-native content variants
- score and prediction files
- retro files after publish
- rubric update candidates when repeated patterns appear
Workflow
- Use
write-articleto create the WeChat mother draft. - Use
cover-imageto create the article cover. - Use
repurpose-contentto create platform-native versions. - Use
article-score-retroinscoremode before publish. - Use
article-score-retroinpredictmode before publish. - Publish the content.
- Use
article-score-retroinretromode at T+3 or T+7. - If repeated misses or wins appear, use
platform-rubric-managerto update the platform rubric.
Recommended Platform Order
- WeChat first as the mother draft
- X and Xiaohongshu next for highest-value repurposing
- TikTok, Reddit, dev.to, and Facebook after the core text workflow is stable
Content Ledger
Prefer using one shared content folder per topic:
output/content/{slug}/Store:
- the source article
- platform variants
- score files
- prediction files
- retro files
Core Principle
Do not treat multi-platform publishing as copy-paste distribution.
Treat it as:
- one core idea
- multiple native packages
- separate judgment per platform
- shared learning across time
Common Mistakes
- publishing the mother draft everywhere unchanged
- skipping score and going straight to publish
- doing retro without a saved prediction
- updating rubric from one random outlier
Quick Rules
- One source idea, many native versions.
- Score before publish.
- Predict before results.
- Retro after real data.
- Update rubric only from repeated signals.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: GiantClam
- Source: GiantClam/auto-viral-article-writer
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.