Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    video strategy extraction

    1

    Convert instructional videos into machine-readable, schema-validated specs without hallucinations or invented parameters.

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    video strategy extraction

    video strategy extraction

    Example session with this skill installed

    Extract the strategy rules from this transcript: 'I use a 200 EMA to find trend. If RSI is below 30 on the 1 hour, I go long. I don't give a stop loss, just watch the price.'

    • Read your context and instructions
    • Compiled the video strategy extraction
    {
      "direction": "LONG",
      "entry_conditions": [
        {"indicator": "EMA", "indicator_param": "200", "timeframe": "1h", "condition": "price above EMA"},
        {"indicator": "RSI", "timeframe": "1h", "condition": "below", "comparison_value": "30"}
      ],
      "exit_conditions": [],
      "confidence": 0.7,
    

    "notes": "Stop loss method not stated."
    }

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

    What you get

    Extract backtestable rules from video-based trading strategies.Generate structured SOPs from recorded screen-share walkthroughs.Audit technical training videos for specific procedural compliance.Automate the ingestion of expert video content into internal knowledge bases.

    About this skill

    The problem

    Instructional videos and expert walkthroughs are easy to record but difficult to use as technical specs. Manual transcription and extraction lead to "hallucinated" parameters where an AI fills in gaps with plausible but unstated values.

    What it does

    • Transcribes audio using local Whisper or Deepgram with a focus on propositional content.
    • Extracts structured rules and parameters into a schema-validated JSON spec.
    • Validates every extraction against a strict nullability contract to prevent fabricated data.
    • Calculates confidence scores based on technical specificity rather than speaker fluency.
    • Filters out motivational noise, non-speech, and opinion-only content with explicit status records.

    Frameworks & tools

    Faster-whisper, Deepgram, Groq, Pydantic, and any LLM capable of structured output (Hermes-class or better).

    Why this beats prompting it yourself

    Generic prompts "smooth" over missing information, creating confident-sounding specs that didn't exist in the source. This skill enforces Iron Rules that prioritize precise gaps over fluent fabrications, ensuring you never build a system on an assumed parameter.

    Use cases

    • Convert trading strategy videos into backtestable entry/exit rule sets.
    • Turn recorded software onboarding walkthroughs into actionable SOPs.
    • Transform training videos into machine-checkable compliance checklists.
    • Process folder batches of expert demos into structured technical runbooks.

    Known limitations

    Requires an instructional or procedural source. It will explicitly refuse to generate specs for motivational or opinion-heavy content without extractable steps.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago
    Updated16 days ago

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