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Agent skill

Executive Dashboard

by indranilbanerjee in indranilbanerjee/digital-marketing-pro

Design an executive marketing dashboard as a build-ready specification — 5-7 north-star metrics with rationale, metric hierarchy, chart choices, alert thresholds, data-source mapping, wireframe…

MITAuto-check passedBusiness, Finance & HR

Install Executive Dashboard

skills CLI
$ npx skills add indranilbanerjee/digital-marketing-pro --skill executive-dashboard -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install indranilbanerjee/digital-marketing-pro executive-dashboard --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/executive-dashboard .claude/skills/executive-dashboard && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
executive-dashboard
GitHub stars
859
Used in
1 other repo
Token cost
~1.9k tokens
SKILL.md length
858 words
Files
1
Skills in repo
162
Repo updated
First seen
Licence
MIT

At a glance

Design an executive marketing dashboard as a build-ready specification — 5-7 north-star metrics with rationale, metric hierarchy, chart choices, alert thresholds, data-source mapping, wireframe…

  • Works in 11 steps: Load brand context: Read… → Identify north-star metrics: Select 5-7… → Design metric hierarchy: Organize… → …
  • /digital-marketing-pro:executive-dashboard
  • SKILL.md covers Purpose, Input Required, Process and Output, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Executive Dashboard is an agent skill from indranilbanerjee/digital-marketing-pro. Design an executive marketing dashboard as a build-ready specification — 5-7 north-star metrics with rationale, metric hierarchy, chart choices, alert thresholds, data-source mapping, wireframe layout, drill-down structure, and a mobile variant. It designs the dashboard; it does not build or connect a live one. Triggers on "/digital-marketing-pro:executive-dashboard", "design a CMO dashboard", "what metrics should the board see", "our exec report is too noisy", "create a leadership reporting view". Reads the…

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering OKRs and executive reporting and Marketing analytics. The repository describes itself as: An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analytics - grounded in brand context, human approval, and verifiable… The licence is MIT.

When your agent uses it

  • /digital-marketing-pro:executive-dashboard
  • Design a CMO dashboard
  • What metrics should the board see
  • Our exec report is too noisy

Example prompts

  • “/digital-marketing-pro:executive-dashboard”
  • “design a CMO dashboard”
  • “what metrics should the board see”
  • “/executive-dashboard”

Workflow steps

11 steps, taken from the first numbered list in SKILL.md.

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load…
  2. Identify north-star metrics: Select 5-7 metrics that directly tie marketing activity to business outcomes — revenue influenced, pipeline…
  3. Design metric hierarchy: Organize metrics into three tiers — leading indicators (predict future performance), lagging indicators (confirm…
  4. Select visualization type per metric: Choose the optimal chart type for each metric based on data shape and decision context — trend lines…
  5. Define alert thresholds and anomaly triggers: Set green/yellow/red thresholds for each metric with specific trigger values, and configure…
  6. Map data sources to each metric: Document which system provides each metric, how it is calculated, data freshness (real-time, daily…
  7. Design layout for scanning speed: Structure the dashboard for F-pattern or Z-pattern scanning — most critical metrics top-left, summary…
  8. Add narrative guidance: Write "how to read this" instructions for each section — what good looks like, what bad looks like, and what…
  9. Build drill-down structure: Design three levels of depth — summary view (the dashboard itself), detail view (campaign or channel…
  10. Create mobile-friendly variant: Adapt the dashboard layout for mobile or tablet viewing — prioritize top 3-5 metrics, stack vertically…
  11. Add comparison baselines: Define what each metric is compared against — plan/target, prior period (MoM, QoQ, YoY), industry benchmark, and…

What it can do on your machine

Read from SKILL.md and the folder at commit 3343924. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Executive Dashboard loads about 1.9k tokens when it runs. Until then it costs about 162 tokens; SKILL.md has 858 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~162
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from indranilbanerjee/digital-marketing-pro at commit 3343924, republished under its MIT licence (© indranilbanerjee). 858 words, ~1,893 tokens.

Download SKILL.mdSave it as .claude/skills/executive-dashboard/SKILL.md (or your agent's skills folder).
name
executive-dashboard
description
Design an executive marketing dashboard as a build-ready specification — 5-7 north-star metrics with rationale, metric hierarchy, chart choices, alert thresholds, data-source mapping, wireframe layout, drill-down structure, and a mobile variant. It designs the dashboard; it does not build or connect a live one. Triggers on "/digital-marketing-pro:executive-dashboard", "design a CMO dashboard", "what metrics should the board see", "our exec report is too noisy", "create a leadership reporting view". Reads the brand profile and guidelines; pairs with /digital-marketing-pro:exec-summary for the written companion narrative.

/digital-marketing-pro:executive-dashboard

Purpose

Design a C-suite marketing dashboard that translates marketing metrics into business outcomes for executive decision-making. Bridges the gap between marketing activity data and business impact, giving senior leaders the clarity to make faster, better-informed strategic decisions without drowning in operational detail.

Input Required

The user must provide (or will be prompted for):

  • Executive role: Primary audience — CEO, CMO, CFO, VP Marketing, or board — each requires different metric emphasis and abstraction level
  • Business model and revenue drivers: How the company makes money — SaaS, e-commerce, lead gen, marketplace, subscription — and the key revenue levers marketing influences
  • Strategic priorities this quarter: The 2-4 business priorities the executive team is focused on that marketing should ladder up to
  • Reporting frequency: How often the dashboard will be reviewed — weekly executive standup, monthly leadership meeting, quarterly board review
  • Current data sources and tools: Analytics platforms, CRM, ad platforms, attribution tools, and BI systems currently in use with data freshness and reliability notes
  • Existing reports being replaced: Current reporting artifacts the dashboard will consolidate or replace — helps identify gaps and redundancies
  • Key decisions the dashboard should inform: Specific decisions executives make that this dashboard should support — budget allocation, channel mix, hiring, campaign scaling, market expansion
  • Stakeholder data literacy level: How comfortable the audience is with marketing metrics — determines labeling, context, and narrative density needed

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Identify north-star metrics: Select 5-7 metrics that directly tie marketing activity to business outcomes — revenue influenced, pipeline generated, customer acquisition cost, lifetime value, market share, brand equity indicators
  3. Design metric hierarchy: Organize metrics into three tiers — leading indicators (predict future performance), lagging indicators (confirm past results), and health metrics (signal system stability and sustainability)
  4. Select visualization type per metric: Choose the optimal chart type for each metric based on data shape and decision context — trend lines for trajectory, gauges for targets, bar charts for comparisons, sparklines for density
  5. Define alert thresholds and anomaly triggers: Set green/yellow/red thresholds for each metric with specific trigger values, and configure anomaly detection rules for unexpected spikes or drops
  6. Map data sources to each metric: Document which system provides each metric, how it is calculated, data freshness (real-time, daily, weekly), and known limitations or lag
  7. Design layout for scanning speed: Structure the dashboard for F-pattern or Z-pattern scanning — most critical metrics top-left, summary before detail, consistent visual hierarchy, minimal cognitive load
  8. Add narrative guidance: Write "how to read this" instructions for each section — what good looks like, what bad looks like, and what action to take in each scenario
  9. Build drill-down structure: Design three levels of depth — summary view (the dashboard itself), detail view (campaign or channel breakdowns), and root cause view (diagnostic data for investigating anomalies)
  10. Create mobile-friendly variant: Adapt the dashboard layout for mobile or tablet viewing — prioritize top 3-5 metrics, stack vertically, enlarge touch targets, and simplify visualizations
  11. Add comparison baselines: Define what each metric is compared against — plan/target, prior period (MoM, QoQ, YoY), industry benchmark, and competitive estimate — with comparison display format
Show full SKILL.md (291 more words)Show less

Output

A structured executive dashboard design containing:

  • North-star metrics (5-7): Selected metrics with business rationale explaining why each matters to the executive audience and how it connects to strategic priorities
  • Metric hierarchy diagram: Visual framework showing leading, lagging, and health metrics with causal relationships and directional influence between them
  • Visualization recommendations: Chart type, scale, color coding, and annotation style for each metric with rationale for the design choice
  • Alert threshold definitions: Green/yellow/red boundaries for each metric with specific trigger values, anomaly detection rules, and notification routing
  • Data source mapping: Metric-by-metric documentation of source system, calculation method, refresh frequency, data latency, and known quality issues
  • Dashboard wireframe layout: Spatial layout showing metric placement, section grouping, visual hierarchy, and scanning flow optimized for the target audience
  • Narrative guide: Section-by-section presentation guide explaining how to read each area, what questions it answers, and what actions to consider based on the data shown
  • Drill-down structure: Three-level depth design — summary (dashboard), detail (channel/campaign breakdown), and root cause (diagnostic investigation) with navigation flow
  • Mobile layout variant: Adapted design for mobile viewing with prioritized metrics, vertical stacking, simplified charts, and touch-optimized interactions
  • Comparison baseline definitions: For each metric, the comparison standard (target, prior period, benchmark, competitive) with display format and context notes
  • Refresh cadence and data latency notes: Documentation of how often each metric updates, expected data lag, and implications for decision timing
  • Executive summary template: A 3-sentence written narrative template that synthesizes dashboard findings into a verbal briefing — what happened, why it matters, what to do next
  • Glossary of terms: Plain-language definitions of all metrics and marketing terminology for non-marketing stakeholders with examples and context

Agents Used

  • analytics-analyst — Metric selection, hierarchy design, visualization recommendations, data source mapping, alert thresholds, drill-down architecture, refresh cadence, and dashboard layout optimization

© indranilbanerjee, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/executive-dashboard of indranilbanerjee/digital-marketing-pro.

Open the folder on GitHubat commit 3343924

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in indranilbanerjee/digital-marketing-pro, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Executive Dashboard next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Product Decision Agentdavila7/claude-code-templates32k2 repos~590Automated safety check: PassMIT

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Categories

Questions about Executive Dashboard

What does Executive Dashboard do?

Design an executive marketing dashboard as a build-ready specification — 5-7 north-star metrics with rationale, metric hierarchy, chart choices, alert thresholds, data-source mapping, wireframe…. Executive Dashboard is an agent skill from indranilbanerjee/digital-marketing-pro. Design an executive marketing dashboard as a build-ready specification — 5-7 north-star metrics with rationale, metric hierarchy, chart choices, alert thresholds, data-source mapping, wireframe layout, drill-down structure, and a mobile variant.

When should I use Executive Dashboard?

Executive Dashboard fits situations like: /digital-marketing-pro:executive-dashboard; design a CMO dashboard; what metrics should the board see; our exec report is too noisy.

How do I install Executive Dashboard in Claude Code?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill executive-dashboard -a claude-code`. Or copy the skill folder (skills/executive-dashboard in indranilbanerjee/digital-marketing-pro) into .claude/skills/executive-dashboard in your project. Claude Code loads it when a task matches its description.

How do I install Executive Dashboard in Codex?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill executive-dashboard -a codex`. Or copy the skill folder (skills/executive-dashboard in indranilbanerjee/digital-marketing-pro) into .agents/skills/executive-dashboard in your project. Codex loads it when a task matches its description.

Can I use Executive Dashboard in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add indranilbanerjee/digital-marketing-pro --skill executive-dashboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/executive-dashboard, .gemini/skills/executive-dashboard, .github/skills/executive-dashboard and .opencode/skills/executive-dashboard in your project.

What does Executive Dashboard need to run?

SKILL.md names no scripts, command-line tools or credentials: Executive Dashboard is instructions for the agent only.

Does Executive Dashboard access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Executive Dashboard safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Executive Dashboard use?

Executive Dashboard is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Executive Dashboard use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Executive Dashboard?

Skills that share tags, products or a category with Executive Dashboard: Analytics Strategy (rampstackco/claude-skills, 941 stars), Exec Dashboard Blueprint (gtmagents/gtm-agents, 413 stars), Replit Deck (sanqiufong/slides-from-anything, 132 stars) and AI Prioritization (ILoveDotNet/ilovedotnet, 155 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Executive Dashboard?

indranilbanerjee (a GitHub user) maintains it in indranilbanerjee/digital-marketing-pro, which has 859 GitHub stars. The repository holds 162 skills in this directory. The repository was last updated on October 4, 2026.

Source: indranilbanerjee/digital-marketing-pro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.