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    Social Media Monthly Performance Review Skill

    1

    Standardize monthly social media analytics into actionable performance reviews and growth plans.

    $6.99

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    Social Media Monthly Performance Review Skill

    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

    MetricCurrent MonthPrevious MonthChangeDirectionInterpretation
    Reach45,00040,000+12.5%▲Strong organic visibility growth.
    Engagement1,2001,300-7.7%▼Engagement not scaling with reach.
    Link Clicks200Not ProvidedN/A—Establishing baseline for traffic goal.
    Eng. Rate2.67%3.25%-0.58pp▼Content fatigue or broader targeting.

    Content Performance

    ContentFormatPillarReachEngagementSignal
    Day in LifeVideoCultureHighHighStrongest resonance/affinity.
    Industry NewsTextAuthorityMediumLowLow 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

    ActionEvidenceObjectiveSuccess Metric
    KeepVideo performanceBrand Affinity>3% Video Eng. Rate
    TestLink click-throughsTraffic>0.5% CTR on posts
    StopLow-eng text postsEfficiencyN/A

    Next steps

    1. Review the hook structure of the 'Day in the Life' video to replicate in August.
    2. Implement UTM tracking for all LinkedIn posts to verify link click quality.
    3. 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.

    What you get

    Generate MoM KPI scorecards with automated trend direction.Identify which content pillars drive the most link clicks and leads.Diagnose why reach is increasing while engagement rates are dropping.Build a 'Keep/Stop/Start' plan for the upcoming content calendar.

    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.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Click the path to copy it. Create the folder if it does not exist yet.

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