Ig Analyze
API-driven Instagram post and account performance analysis. Pulls live data via Instagram MCP tools, calculates engagement metrics, detects perform…
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 averagesreferences/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:
Account overview:
mcp__claude_ai_Instagram_MCP__get_user_infoCapture: follower count, following count, media count, bio, profile pic.
Recent media:
mcp__claude_ai_Instagram_MCP__get_user_mediaFetch the most recent 25 posts. For each, capture: id, type (carousel/reel/image), timestamp, caption, like count, comment count.
Post-level insights (for each post):
mcp__claude_ai_Instagram_MCP__get_post_insightsCapture: reach, impressions, saves, shares, video views (if reel), profile visits.
Account-level insights:
mcp__claude_ai_Instagram_MCP__get_user_insightsCapture: 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.