AI Content Moderation Designer
$2.99OfficialDesign AI content moderation pipelines: multi-layer classification, appeal workflows, edge case handling, and trust safety.
agent-infrastructurecontent-moderationtrust-safetyclassificationnlpmoderationai-safety· by SkillingMain
What you get
- ✓5-step procedure
- ✓4 pitfalls to avoid
- ✓Installs into 6 tools
- Version
- v1 →
- Last updated
- today
- Length
- 3 min read
- Requires
- Best with a strong model (Claude Sonnet 4)
Works in: Claude Code, Codex, Cline, opencode, OpenClaw, Hermes · Handles multi-file projects
Preview
When to use
Use when designing content moderation for a platform with user-generated content: text posts, images, comments, reviews, or live chat. Trigger on phrases like "content moderation", "trust and safety", "toxic content", "spam detection". Do not use for one-off content filtering — this skill designs systematic, multi-layer moderation infrastructure.
Inputs to gather
- Content types: text, images, video, audio — and the volume per type (posts/day)
- Platform policies: what content is prohibited, restricted, or age-gated (write the rules before building the system)
- Regulatory requirements: DSA (EU), Section 230 (US), Online Safety Act (UK) — each has transparency and appeal
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