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Ig Analyze

API-driven Instagram post and account performance analysis. Pulls live data via Instagram MCP tools, calculates engagement metrics, detects perform…

Claude skills3 min read

By nicojunk/claude-ig, MIT licence. Shared here with credit.

IG Analyze -- API-driven Instagram performance analysis

Key references:

  • references/account-baseline.md -- current benchmarks, follower count, historical averages
  • references/scoring-system.md -- metric definitions, scoring thresholds, weighted formulas

CRITICAL RULE: This skill MUST use live API data. Never guess, estimate, or fabricate metrics. If an API call fails, report the failure. Do not fill in placeholder numbers.


Phase 1: Data Collection

Pull data using Instagram MCP tools in this order:

  1. Account overview:

    mcp__claude_ai_Instagram_MCP__get_user_info
    

    Capture: follower count, following count, media count, bio, profile pic.

  2. Recent media:

    mcp__claude_ai_Instagram_MCP__get_user_media
    

    Fetch the most recent 25 posts. For each, capture: id, type (carousel/reel/image), timestamp, caption, like count, comment count.

  3. Post-level insights (for each post):

    mcp__claude_ai_Instagram_MCP__get_post_insights
    

    Capture: reach, impressions, saves, shares, video views (if reel), profile visits.

  4. Account-level insights:

    mcp__claude_ai_Instagram_MCP__get_user_insights
    

    Capture: reach, impressions, follower growth, profile visits over the requested period.

Bundle independent API calls in parallel where possible. Do not make serial calls when parallel is available.

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Unlocks: Phase 2: Metric Calculation · Per-Post Metrics · Account-Level Metrics · Phase 3: Pattern Detection · Phase 4: Benchmark Comparison · Phase 5: Quality Check · Phase 6: Report Output · Instagram Performance Report

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