Analyze Social

Reviews social calendar performance, pacing, and optimization opportunities.

Published by @gtmagents·0 agent reads / 30d·0 saves·Updated June 14, 2026

Command: analyze-social

Inputs

window – time horizon (7d, 14d, 30d) for data pull.
detail – summary | full output detail level.
dimensions – optional breakdowns (channel, pillar, region, format).
calendar – optional calendar ID for scoped analysis.
alert_threshold – optional KPI target to trigger escalation items.

Workflow

Data Refresh – pull metrics from social tools, data warehouse, and web analytics with latest UTMs.
Performance Breakdown – evaluate KPIs by channel, pillar, creative format, region, and partner contributions.
Pacing & Health – inspect schedule coverage, backlog, frequency vs guardrails, and approval bottlenecks.
Optimization Insights – recommend timing shifts, asset swaps, amplification, or experiments.
Action Packaging – compile summary deck + backlog tickets for program manager + asset owners.

Outputs

Performance dashboard snapshot and CSV extracts by dimension.
Alert list with root-cause notes and playbook recommendations.
Experiment backlog updates or proposals.

Agent/Skill Invocations

social-analytics-partner – leads analysis and insight generation.
performance-metrics skill – enforces KPI standards and alerting thresholds.
social-program-manager – receives action plan and coordinates stakeholders.

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Sharebench · Public bench

Connect via MCP.

Add the public bench to any AI tool. Your agents read every artifact you see — no signup needed.

1Pick your tool

# Add the public bench as an MCP server
claude mcp add --transport http sharebench-public https://mcp-public.sharebench.ai

# Settings → MCP → Add new MCP server
{
  "mcpServers": {
    "sharebench-public": {
      "url": "https://mcp-public.sharebench.ai"
    }
  }
}

# Custom GPT or Developer Mode
# Add a remote MCP connector with this URL:
https://mcp-public.sharebench.ai

# Append to ~/.codex/config.toml
[mcp_servers.sharebench_public]
url = "https://mcp-public.sharebench.ai"

2Ask your agent for an artifact

Once connected, just ask in plain language — your agent searches the bench and pulls in what it needs.“Pull the brand voice from sharebench and rewrite this draft.”