analytics-dashboards

analytics-dashboards is a skill for Claude Code from brainbytes-dev/everything-claude-marketing. It costs 27 tokens per session (2,577 once invoked), scanned A, original, MIT.

A guide for designing marketing dashboards and reports, which organize data so people can see performance and decide what to do.

In plain words
What is it for?
Use it to plan executive, team, or campaign dashboards; choose useful metrics; organize data sources; and prepare visual reports.
Why use it?
It helps resolve confusion about what is working by matching metrics and reporting frequency to the people using the dashboard.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the everything-claude-marketing plugin — 72 skills, 22 commands, 18 agents, 2 hooks shipped together

Good fit Use it to plan executive, team, or campaign dashboards; choose useful metrics; organize data sources; and prepare visual reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brainbytes-dev/everything-claude-marketing/analytics-dashboards
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add brainbytes-dev/everything-claude-marketing --skill analytics-dashboards
Clone the repo
git clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketing

Made for: Claude Code.

Or install everything-claude-marketing, the plugin that ships this one along with the rest of its 72 skills, 22 commands, 18 agents, 2 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analytics-dashboards

README.md
[![agentmods](https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/analytics-dashboards/github.svg)](https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/analytics-dashboards)
Your own site
<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/analytics-dashboards"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/analytics-dashboards/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analytics-dashboards

Your own site · 80×15
<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/analytics-dashboards"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/analytics-dashboards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,577 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.02577
Opus 5.5 $0.00011 $0.01031
Sonnet 5.5 $0.00005 $0.00515
Haiku 4.5 $0.00003 $0.00258

Measured 2mo ago against content hash b32582da6629, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analytics-dashboards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/analytics/analytics-dashboards/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Dashboard Design

When to Activate

  • Building a new marketing dashboard or reporting system
  • Redesigning existing dashboards that aren't driving decisions
  • Preparing data visualizations for stakeholders
  • Setting up automated reporting for marketing teams
  • Choosing metrics to track for a campaign or channel
  • Stakeholders complain they "don't know what's working"

First Questions

  1. Who is the primary audience for this dashboard? (CEO, CMO, channel manager, campaign team)
  2. What decisions should this dashboard help make?
  3. What is the reporting cadence? (Real-time, daily, weekly, monthly)
  4. What data sources are available? (GA4, CRM, ad platforms, email platform, billing system)
  5. What tool will you build this in? (Looker Studio, Tableau, Power BI, Databox, custom)
  6. What are the top 3 questions this dashboard must answer?

Dashboard Hierarchy

Dashboards should form a pyramid. Each level answers different questions for different audiences.

Level 1: Executive Dashboard

  • Audience: CEO, CFO, board
  • Cadence: Monthly or quarterly
  • Purpose: "Is marketing contributing to business growth?"
  • Metrics: Revenue influenced, CAC, LTV, LTV:CAC ratio, pipeline value, brand awareness trends
  • Design: Maximum 6-8 metrics. Heavy on trends, light on granularity. Always include comparison period.

Level 2: Marketing Leadership Dashboard

  • Audience: CMO, VP Marketing, Head of Growth
  • Cadence: Weekly
  • Purpose: "Which channels and programs are performing? Where should we adjust?"
  • Metrics: Channel-level spend, CPA, ROAS, conversion volume, pipeline by source, funnel conversion rates
  • Design: 10-15 metrics. Channel comparison views. Pacing against goals.

Level 3: Channel Dashboards

  • Audience: Channel managers (paid, organic, email, content)
  • Cadence: Daily to weekly
  • Purpose: "How is my channel performing and where do I optimize?"
  • Metrics: Channel-specific KPIs (CTR, CPC, impression share, open rate, domain authority, etc.)
  • Design: Detailed, filterable, actionable. Campaign-level drill-down.

Read the full file on GitHub · 234 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 234 lines · 27 tokens per session scan A b32582da6629

Subscribe to this mod's changes

analytics-dashboards is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 27 tokens to every session and 2,577 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

analytics-dashboards compared with skills from other repositories

analytics-dashboards next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
analytics-dashboardsbrainbytes-dev/everything-claude-marketingSkill107mo agoMITA27Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code