MCP App StoreMCP App Store
from awesome-omni-skill45
Find, compare and analyze social videos (YouTube, TikTok, Instagram, X) and return top matches with concise relevance notes.
This skill runs a video sourcing workflow that searches social platforms (YouTube, TikTok, Instagram, X) for relevant videos, ranks and summarizes results, and returns compact recommendations. It's designed to produce deterministic, concise chat UX with a pinned runtime; it can bootstrap a managed agent runtime if not provided locally. Typical outputs are short conclusions plus top video references (title, url, one-line relevance).
Use this skill when a user asks to find example videos, analyze creator content, track trends, or gather brand/creator mentions across social platforms. Triggered explicitly by the /video_sourcing command or natural-language queries asking for concrete video links and short analysis. If no query is provided, the skill asks for clarification.
Best suited for agents that can run host tooling and external API calls (CLI-focused agents and self-hosted runners). Practical with Claude Code / Gemini CLI style runtimes or other agents able to exec scripts and parse NDJSON output.
Video Sourcing skill finds and analyzes social videos across YouTube, TikTok, Instagram, and X. No bundled scripts — it delegates to an external pinned agent repo (Memories-ai-labs/video-sourcing-agent@v0.2.3) auto-bootstrapped at runtime. SKILL.md is well-written with clear execution contracts, deterministic and free-form paths, and structured NDJSON output handling. Setup requires GOOGLE_API_KEY and YOUTUBE_API_KEY env vars plus git and uv binaries.
Clean SKILL.md with no hardcoded secrets, no destructive commands, no data exfiltration. The auto-bootstrap from a pinned GitHub release tag is the main security consideration — pinned to v0.2.3 which is better than latest, but still fetches remote code. No scripts to test locally.
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