Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Video Sourcing Agent
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.
⬇ 0 downloads ★ 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
- SKILL.md, _meta.json, scripts/run_video_query.sh
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
- 1.0.0
Provenance
- Publisher
- memories-ai-official
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Video Sourcing Skill
Use this skill when the user asks to find, compare, or analyze social videos (YouTube, TikTok, Instagram, Twitter/X), or explicitly invokes /video_sourcing. This workflow expects host runtime execution (sandbox mode off). The runner auto-bootstraps a pinned runtime from Memories-ai-labs/video-sourcing-agent@v0.2.3 when VIDEO_SOURCING_AGENT_ROOT is not set.
Triggering
Run this workflow when either condition is true: Message starts with /video_sourcing. The user asks for video sourcing/trend/creator/brand analysis and wants concrete video links. If /video_sourcing is used with no query body, ask for the missing query.
Execution contract
Resolve query text: /video_sourcing ... => strip /video_sourcing and use remaining text. Free-form => use user message as query. Default to compact mode: --event-detail compact If user asks for debugging/raw payloads: Switch to --event-detail verbose
/video_sourcing deterministic path
Build command with required args: <skill_dir>/scripts/run_video_query.sh --query "<query>" --event-detail <compact|verbose> --ux-mode three_message --progress-gate-seconds 10 Start with exec using background: true. Poll with process using action: "poll" every 2-4 seconds until process exits. Parse NDJSON output and render only these events: started => send: Starting video sourcing... ux_progress => send concise middle progress updates from summary (throttled by runner) Send each ux_progress as a separate assistant message in Telegram. terminal event (complete, clarification_needed, error) => send final message as-is Do not forward raw progress, tool_call, or tool_result events for /video_sourcing. Do not rewrite final answer tone/style; preserve the user's existing OpenClaw personality behavior. Behavior target for /video_sourcing: Fast run (<10s): 2 messages (started, terminal). Longer run (>=10s): recurring throttled ux_progress updates, then terminal.
Free-form path (non-strict)
Keep existing flexible behavior. Build command without forcing three_message mode: <skill_dir>/scripts/run_video_query.sh --query "<query>" --event-detail <compact|verbose> Stream useful progress updates and final response naturally.
Final response format
When terminal event is complete: One short paragraph conclusion. Top 3 video references only by default: title url one-line relevance note Tools used: ... with a compact status summary. If fewer than 3 videos exist, show all available references. When terminal event is clarification_needed: Ask the clarification question directly. Treat this as the final response for the current run. When terminal event is error: Send concise failure reason. Include one actionable next step.
Safety and fallback
If script fails due to missing env/tooling, explain exact missing piece (for example VIDEO_SOURCING_AGENT_ROOT, uv, or API key env var). If VIDEO_SOURCING_AGENT_ROOT is unset, the runner uses managed path: ~/.openclaw/data/video-sourcing-agent/v0.2.3 VIDEO_SOURCING_AGENT_ROOT remains an advanced override for local development. Keep response concise and action-oriented. Never fabricate video URLs or metrics.
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts1 Config
- SKILL.md
- scripts/run_video_query.sh
- _meta.json