Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Video Searching
Run the Video Sourcing Agent with deterministic, concise chat UX for /video_sourcing using a pinned self-bootstrap runtime.
skill openclawclawhub Free
Run the Video Sourcing Agent with deterministic, concise chat UX for /video_sourcing using a pinned self-bootstrap runtime.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- _meta.json, run_video_query.sh, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- memories-ai-official
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Video Searching Skill
Use this skill when the user asks to find, compare, or analyze social videos (YouTube, TikTok, Instagram, Twitter/X), or explicitly invokes /video_search. This skill calls the Memories.ai Video Searching API โ a managed, token-authenticated endpoint that searches across platforms and returns structured results via SSE.
Triggering
Run this workflow when either condition is true: Message starts with /video_search. The user asks for video sourcing/trend/creator/brand analysis and wants concrete video links. If /video_search is used with no query body, ask for the missing query.
Execution contract
Resolve query text: /video_search ... โ strip /video_search and use remaining text. Free-form โ use user message as query. Build the API request JSON body: query (required): the user's search query platforms (optional): array of youtube, tiktok, instagram, twitter โ only set if user specifies platforms max_results (optional, default 10): number of video results time_frame (optional): past_24h, past_week, past_month, past_year โ only set if user specifies recency max_steps (optional, default 10): max agent iterations enable_clarification (optional, default false): set to true if user query is vague Call the runner script: <skill_dir>/scripts/run_video_query.sh \ --query "<query>" \ [--platforms "youtube,tiktok"] \ [--max-results 10] \ [--time-frame past_week] \ [--enable-clarification] Start with exec using background: true. Poll with process using action: "poll" every 2โ4 seconds until process exits. Parse NDJSON output and render only these events: started โ send: ๐ Starting video search... progress โ send concise progress update from message field (throttle: skip if last update was < 3s ago) complete โ send final formatted response (see below) clarification โ ask the clarification question directly; treat as final response error โ send concise failure reason with one actionable next step Do not forward raw tool_call or tool_result events to the user.
Final response format
When terminal event is complete: One short paragraph conclusion (from answer field). Top video references (up to 5 by default): title url platform badge (e.g. ๐ฌ YouTube, ๐ต TikTok, ๐ธ Instagram, ๐ฆ X) one-line relevance_note key metrics: views, likes, engagement rate (if available) Footer: โฑ {execution_time_seconds}s ยท {steps_taken} steps ยท {tools_used} If fewer videos exist, show all available references. When terminal event is clarification: Ask the clarification question directly. Present options if provided. Treat as final response for the current run. When terminal event is error: Send concise failure reason. Include one actionable next step.
Safety and fallback
If MEMORIES_API_KEY is not set, tell the user: โ ๏ธ Missing MEMORIES_API_KEY. Set it in your OpenClaw environment variables to use this skill. Get your API key at https://api-tools.memories.ai If the API returns a non-SSE error (HTTP 4xx/5xx), display the error message. Never fabricate video URLs or metrics. If the API is unreachable, suggest checking network connectivity and API status.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts1 Config
- SKILL.md
- run_video_query.sh
- _meta.json