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This page documents the current OpenClaw skill on ClawHub for video searching and analysis. The hosted skill is backed by the managed Memories.ai Video Searching API, so the primary path no longer requires cloning or running the older local runtime.

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OpenClaw Skill on ClawHub

Launch Skill on ClawHub

Open the hosted workflow and run /video_search queries directly in ClawHub.

API Reference

See the managed API endpoint, SSE behavior, and request examples that power this skill.

Skill Identity

Type: OpenClaw Skill
Host: ClawHub
Slug: memories-ai-official/video-searching
Current published version: 1.0.1

Starter Prompt

Try: /video_search Find 10 high-engagement short videos about AI coding tools from the past week, and summarize hook patterns.

Runtime Requirements

Requires MEMORIES_API_KEY plus standard curl and jq support in the OpenClaw environment.
Official skill page: clawhub.ai/memories-ai-official/video-searching

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What Changed In The Current Skill

  • The hosted ClawHub skill now runs on the managed Memories.ai Video Searching API instead of the older self-hosted Python runtime.
  • The user-facing invocation command is /video_search.
  • Authentication is simplified around MEMORIES_API_KEY.
  • The hosted flow removes local repo cloning and dependency bootstrapping from the primary path.
  • Results are streamed and returned as structured video references with summary text.

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What It Can Do

Multi-Platform Search

Searches YouTube, TikTok, Instagram, and X/Twitter from a single prompt.

Structured Video References

Returns answer text, source links, relevance notes, and key metrics when available.

Recency Controls

Supports time filters such as past_24h, past_week, past_month, and past_year.

Clarification Flow

Can ask follow-up questions when a request is too vague to search reliably.

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Invocation Pattern

/video_search Find top SaaS UGC videos on TikTok from the past week
Optional controls in the underlying API include platform filters, result limits, agent step caps, and time-frame constraints. For raw request and response examples, see Video Searching API.

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Best Fit Scenarios

  • Industry and topic trend discovery
  • Brand and product video analysis
  • Creator scouting and comparison
  • Cross-platform benchmarking
  • Research workflows that need traceable video references

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Legacy Runtime Context

Earlier versions of this page described the open-source local runtime in more detail. That repository is still useful if you want to inspect or adapt the older self-hosted workflow, but it is no longer the primary path for the current ClawHub skill.

Managed API Docs

Use this if you want the same hosted capabilities outside ClawHub via SSE.

Legacy Runtime Repository

Reference implementation for the earlier local runtime flow.
The current ClawHub skill metadata advertises macOS/Linux support and requires MEMORIES_API_KEY, curl, and jq.