insightpulseai/agents/skills/social/performance_review
agents/skills/social/performance_review/SKILL.md
# Skill: Performance Review **Skill ID**: social.performance_review **Agent**: SocialMediaManager (agent_008) **Version**: 1.0.0 ## What It Is Analyzes engagement metrics and campaign performance data to generate actionable insights and strategy recommendations. Produces post-campaign retrospectives and ongoing performance reports. ## When to Use - End-of-campaign retrospective - Weekly/monthly performance reporting - Identifying top and bottom performing content - Adjusting content strateg
development
Updated Apr 6, 2026
$ install --global
skillsauthnpx skillsauth add insightpulseai/agents agents/skills/social/performance_reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
Skill: Performance Review
Skill ID: social.performance_review Agent: SocialMediaManager (agent_008) Version: 1.0.0
What It Is
Analyzes engagement metrics and campaign performance data to generate actionable insights and strategy recommendations. Produces post-campaign retrospectives and ongoing performance reports.
When to Use
- End-of-campaign retrospective
- Weekly/monthly performance reporting
- Identifying top and bottom performing content
- Adjusting content strategy based on data
Core Pattern
Input: Performance metrics + campaign KPIs + content metadata (PostPerformanceRecord[])
Process:
1. Aggregate metrics by platform, content pillar, and campaign
2. Compare actuals vs. KPI targets
3. Identify top-performing content (by engagement rate, reach, conversion)
4. Identify underperforming areas
5. Extract winning patterns from top performers
6. Update few-shot example pool for next generation cycle
7. Generate recommendations for strategy adjustments
Output: Performance summary + insights + recommendations + updated few-shot pool
Feedback Loop Architecture
The performance review skill closes the loop between publishing and generation:
[Publish] → [Collect Metrics (24h, 48h, 7d)] → [PostPerformanceRecord DB]
↓
[Pattern Extraction]
- Which hook_types get highest engagement per platform?
- Which content_pillars drive shares vs. clicks?
- Which cta_types convert best per funnel_stage?
- What posting times yield peak engagement?
- Which source content atoms produced the best derived posts?
↓
[Update Generation Context]
- Refresh top-5 few-shot examples per platform/pillar
- Adjust content mix ratios based on pillar performance
- Update cadence recommendations based on time-of-day data
- Flag underperforming atoms for retirement
↓
[Next Generation Cycle uses updated context]
Pattern Query Examples
The structured PostPerformanceRecord schema enables queries like:
- "Question hooks on LinkedIn get 2.3x engagement on Tuesday mornings"
- "Statistics-led posts outperform story-led posts for awareness campaigns"
- "Posts with media get 1.8x engagement on X/Twitter but only 1.1x on LinkedIn"
- "CTA 'Download the report' converts 3x better than 'Learn more' for consideration-stage content"
Metrics Framework
| Metric Category | Metrics | Source | |----------------|---------|--------| | Reach | Impressions, reach, follower growth | Platform analytics | | Engagement | Likes, comments, shares, saves, engagement rate | Platform analytics | | Traffic | Clicks, CTR, landing page visits | UTM tracking | | Conversion | Sign-ups, purchases, leads, conversion rate | Analytics + CRM | | Content health | Post frequency, content mix adherence, approval rate | Internal tracking |
Report Sections
- Executive Summary — KPI status (on track / at risk / missed)
- Platform Breakdown — Per-platform performance vs. targets
- Content Pillar Analysis — Which pillars drive engagement
- Top/Bottom Performers — Specific posts with analysis
- Audience Insights — Growth, demographics, peak times
- Recommendations — Data-backed strategy adjustments
- Next Period Plan — Proposed changes to content mix or cadence
Outputs
- Performance summary report (structured)
- KPI achievement scorecard
- Top/bottom content rankings with context
- Strategy adjustment recommendations
- Content mix rebalancing suggestions
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