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Grok Bot+18 agentsSocial Media Monthly Performance Review Skill
Standardize monthly social media analytics into actionable performance reviews and growth plans.
$6.99
Social Media Monthly Performance Review Skill
Example session with this skill installed
Analyze my July LinkedIn data: 45k reach (+10%), 1.2k engagement (-5%), 200 link clicks. Top post was a 'Day in the Life' video. June reach was 40k with 1.3k engagement. Goal is website traffic.
- Read your context and instructions
- Compiled the social media monthly
I have processed your July LinkedIn performance data against the June baseline. While reach is trending upward, engagement density is softening despite the increase in impressions.
Monthly Performance Review: July
KPI Scorecard
| Metric | Current Month | Previous Month | Change | Direction | Interpretation |
|---|---|---|---|---|---|
| Reach | 45,000 | 40,000 | +12.5% | ▲ | Strong organic visibility growth. |
| Engagement | 1,200 | 1,300 | -7.7% | ▼ | Engagement not scaling with reach. |
| Link Clicks | 200 | Not Provided | N/A | — | Establishing baseline for traffic goal. |
| Eng. Rate | 2.67% | 3.25% | -0.58pp | ▼ | Content fatigue or broader targeting. |
Content Performance
| Content | Format | Pillar | Reach | Engagement | Signal |
|---|---|---|---|---|---|
| Day in Life | Video | Culture | High | High | Strongest resonance/affinity. |
| Industry News | Text | Authority | Medium | Low | Low value-add for current audience. |
Performance Diagnosis
- Observed: Reach increased by 5k while engagement fell by 100 actions.
Plausible Hypothesis: The algorithm is pushing content to a broader, colder audience that views but does not interact.
*
Strongly Supported Pattern: Video content (Day in the Life) is the primary driver of current reach and sentiment.
Keep / Stop / Start / Test
| Action | Evidence | Objective | Success Metric |
|---|---|---|---|
| Keep | Video performance | Brand Affinity | >3% Video Eng. Rate |
| Test | Link click-throughs | Traffic | >0.5% CTR on posts |
| Stop | Low-eng text posts | Efficiency | N/A |
Next steps
- Review the hook structure of the 'Day in the Life' video to replicate in August.
- Implement UTM tracking for all LinkedIn posts to verify link click quality.
- Shift 20% of text-post frequency toward short-form video to capture reach efficiency.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Raw social media exports are noisy and disconnected. Manually calculating month-over-month shifts, identifying content patterns, and separating vanity metrics from business growth takes hours of spreadsheet work.
What it does
- Normalizes metrics across platforms to provide a unified KPI scorecard.
- Calculates absolute and percentage changes for reach, engagement, and conversion.
- Segments content by format and pillar to identify high-reach vs. high-engagement winners.
- Diagnoses performance issues like content fatigue or reach growth without engagement.
- Generates a prioritized "Keep/Stop/Start/Test" action plan with defined success metrics.
Why this beats prompting it yourself
Generic prompts often hallucinate causation or ignore baseline discrepancies. This skill enforces rigorous data normalization, flags small sample sizes, and strictly separates observed evidence from hypotheses to ensure your reporting is technically sound.
Use cases
- Generating professional monthly performance decks for agency clients.
- Auditing content pillar effectiveness to refine a brand's creative strategy.
- Comparing platform-specific growth to reallocate ad spend or organic effort.
- Testing new hooks or formats against historical performance benchmarks.
Known limitations
Cannot access live platform APIs directly. Requires manual input of analytics data. Does not predict future algorithmic shifts or viral events.
Requires manual input of platform data as it cannot live-fetch from APIs. Comparisons are only as accurate as the normalization of the provided metrics.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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