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Ig Audit

Full Instagram content audit with parallel subagent delegation. Fetches recent posts via API, spawns specialized analysis agents in parallel, aggre…

Claude skills4 min read

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

IG Audit -- Full Instagram content audit with parallel agent delegation

Key references:

  • references/scoring-system.md -- metric definitions, scoring thresholds
  • references/account-baseline.md -- current benchmarks, historical averages
  • references/format-specs.md -- format requirements, dimension specs

Phase 1: Data Collection

Fetch live data via Instagram MCP tools:

  1. Account info: get_user_info for follower count, bio, media count.
  2. Recent posts: get_user_media for last 20-50 posts (aim for 30 minimum).
  3. Post insights: get_post_insights for each post (reach, saves, shares, impressions).
  4. Account insights: get_user_insights for follower growth, reach trends.

Bundle API calls in parallel where possible. Store all raw data in a structured format before proceeding.

CRITICAL: All analysis must be based on actual API data. If API calls fail, report the failure and reduce scope accordingly. Never fabricate data.

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Unlocks: Phase 2: Agent Delegation · Agent 1: Content Analysis (ig-content) · Agent 2: Engagement Analysis (ig-engagement) · Agent 3: Creative Analysis (ig-creative) · Agent 4: Growth Analysis (ig-growth) · Agent 5: Competitor Benchmark (ig-competitor) · Agent 6: Compliance Check (ig-compliance) · Phase 3: Result Aggregation

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