tiktok analyzer

    1

    Deconstruct TikTok videos into timestamped transcripts, sampled frames, and metadata for deep analysis.

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    tiktok analyzer

    Example session with this skill installed

    Analyze this TikTok link: https://www.tiktok.com/@techcrunch/video/7345678901234. Summarize the key claims about the new AI chip and list all products shown.

    • Read your context and instructions
    • Compiled the tiktok analyzer

    I have processed the TikTok video from TechCrunch. I extracted 24 frames and generated a timestamped transcript using the Whisper base model.

    TikTok Analysis: AI Chip Announcement

    CategoryDetailTimestamp
    Primary ClaimThe "Hyperion-1" chip delivers 4x performance per watt over the previous generation.00:12.4s
    AvailabilitySamples will ship to enterprise partners in Q3 2024.00:45.0s
    Hardware ShownHyperion-1 Silicon Die (close-up)00:08.2s
    Hardware ShownH-Series Server Rack00:22.5s
    On-Screen Text"400 TFLOPS FP8" (Burned-in text overlay)00:15.8s
    Caption Info#AI #TechCrunch #Hardware #HyperionN/A

    Visual vs. Audio Notes:
    The creator mentions "400 teraflops" in the audio, which is confirmed by the large text overlay at t0015.8s.jpg. However, the transcript initially labeled the chip as "Hyperion One"; the on-screen graphics clearly show the branding as "Hyperion-1".

    Next steps

    1. Run a web search to verify the "4x performance" claim against whitepapers.
    2. Re-extract with max_frames=60 to get a clearer view of the server rack connectors.
    3. Generate a summary for the weekly hardware newsletter.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Developers building social listening tools or research agents often hit a wall: LLMs cannot natively browse TikTok or watch video files. This skill bridges that gap by programmatically deconstructing short-form video into machine-readable data. It extracts high-resolution frames, generates a timestamped audio transcript using Whisper, and pulls full metadata including captions and engagement metrics.

    What it does

    • Video Deconstruction samples frames at regular intervals and extracts audio for processing.
    • Speech-to-Text generates timestamped transcripts using OpenAI Whisper models.
    • Metadata Extraction retrieves captions, hashtags, sound info, and engagement counts.
    • OCR and Visual Analysis identifies burned-in text, products, and visual demos within frames.
    • Cross-Verification aligns transcript segments with visual frames for high-accuracy fact extraction.

    How it works

    1. Extract Data by running the provided Python script with a TikTok URL or local file path to generate an output directory.
    2. Ingest Metadata by reading the generated metadata.json and transcript.txt files for initial context.
    3. Analyze Frames using the Read tool to inspect sampled images, mapping filenames to timestamps for visual evidence.
    4. Synthesize Findings by cross-referencing what was said, shown, and claimed in the caption to answer specific queries.

    Frameworks & tools

    The skill utilizes Python, yt-dlp for video retrieval, OpenAI Whisper for transcription, and ffmpeg (via imageio-ffmpeg) for frame sampling.

    Why this beats prompting it yourself

    Standard prompting fails because LLMs cannot access TikTok URLs or "see" video content directly. This skill handles the heavy lifting of environment setup, video downloading, and multi-modal data alignment so you can query video content as easily as text.

    Use cases

    • Content Auditing to extract facts, claims, and product mentions for brand safety.
    • Trend Analysis by summarizing key points and themes across multiple viral videos.
    • Fact-Checking by isolating specific creator claims for external verification.
    • Accessibility by generating detailed text descriptions and transcripts for short-form media.

    Known limitations

    Does not support photo carousels or private/region-blocked videos. Whisper may hallucinate brand names or numbers, requiring visual cross-referencing. Initial run requires model download time.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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