golden-hour

Automates the "Golden Hour" Instagram engagement hack. Use this skill when a user wants to set up a bot that watches an Instagram Reel/Post for a specific keyword in the comments (like "BOT" or "GOLDEN") and automatically replies to the comment and sends a DM with a link or message.

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Install skill "golden-hour" with this command: npx skills add yadavabhijeet4/golden-rule

Golden Hour Automator

This skill provides the script and instructions needed to run a comment-to-DM automation on Instagram. It is designed to boost engagement in the critical first hour (the "Golden Hour") after a post goes live.

Prerequisites

The user must have:

  1. An Instagram Professional/Business account linked to a Facebook Page.
  2. A Long-Lived Instagram Graph API Page Access Token (IG_ACCESS_TOKEN).
  3. Their Instagram Business Account ID (IG_ACCOUNT_ID).

Ensure these are set in the environment or .env file before running the script.

Usage

When a user asks to monitor a post for a keyword and send a DM, run the included ig_golden_hour.py script.

uv run {baseDir}/scripts/ig_golden_hour.py \
    --media_id "12345678901234567" \
    --keyword "bot" \
    --dm_text "Here is the link you requested: https://example.com" \
    --duration 60

Parameters:

  • --media_id: The ID of the specific Instagram post/Reel to monitor. (You may need to query the Graph API me/media endpoint to find this for the user's latest post).
  • --keyword: The trigger word the script watches for in the comments (case-insensitive).
  • --dm_text: The exact message to send to the user's DMs.
  • --duration: How many minutes the script should stay alive and monitor the post (default is 60).

What the Script Does:

  1. Polls the comments of the specified media_id every 2 minutes.
  2. If it finds the --keyword, it sends the --dm_text directly to the commenter's inbox using the Meta me/messages endpoint.
  3. It posts a public reply to the comment ("Just sent you a DM with the link! 🚀") to double the post's comment count and boost algorithmic reach.
  4. It sends a success notification back to OpenClaw via the openclaw message CLI.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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