From linkedin-commander
Analyze post performance. Compares with baseline, detects patterns, evaluates experiments, analyzes comments, updates ICP. Lifecycle-aware.
npx claudepluginhub sabania/linkedin-cliThis skill is limited to using the following tools:
Analyzes post performance, detects patterns, and sharpens the ICP. Lifecycle-aware: distinguishes Active/Cooling/Archived posts.
Analyzes engagement patterns in published LinkedIn posts across hooks, content characteristics, topics, and structure to inform content strategy.
Tracks and analyzes content performance across Instagram, YouTube, LinkedIn, Twitter/X, Reddit using anysite MCP. Measures engagement metrics, identifies top posts, benchmarks strategies.
Scores LinkedIn post drafts against user's historical performance data via Apify scraping or cached benchmarks. Activates on 'score my post', 'review my post', or similar.
Share bugs, ideas, or general feedback.
Analyzes post performance, detects patterns, and sharpens the ICP. Lifecycle-aware: distinguishes Active/Cooling/Archived posts.
IMPORTANT: Delegate the work to the post-analyzer agent. Do NOTHING yourself — start the agent with the Agent tool and pass the post URN.
/analyze <urn> # Analyze single post
/analyze # All posts that need analysis
/analyze patterns # Pattern refresh only (archived posts)
/analyze icp # ICP sharpening only
| Lifecycle | Analysis Behavior |
|---|---|
| Active (0-7 days) | In data/posts/ — analysis possible, but with caveat "metrics still moving" |
| Cooling (7-14 days) | In data/posts/ — good data basis, snapshot 2-3 available |
| Archived (14+ days) | In data/posts/archive/ — final metrics, best basis for pattern detection |
Pattern refresh uses only archived posts (data/posts/archive/).
post-analyzer agentPost Analysis: "Most SMBs underestimate..."
URN: urn:li:activity:7435982583777169408
Lifecycle: Cooling (Day 9)
Performance (Snapshot 2):
Reactions: 89 (Baseline: 45) → +98%
Comments: 12 (Baseline: 5) → +140%
Impressions: 3,200 (Baseline: 1,800) → +78%
Engagement Rate: 3.2% (Baseline: 2.8%) → +14%
Content Properties:
Hook: Surprising Fact | Format: Text | CTA: Question
Day: Tuesday | Hour: 8 | Length: Medium (780 chars)
Pattern Match:
"Surprising Fact" hook → above average
"Tuesday" posting → confirms pattern
"Personal Reference" → +40% (Low Confidence, n=4)
ICP Insight:
Top Engagers: CTOs (30%), Developers (40%), PMs (20%)
Next snapshot in 5 days (Day 14).
Only on archived posts (data/posts/archive/):