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martech-audit

Audit the marketing technology stack — map every tool to 11 core functions, flag gaps and redundant overlaps with wasted-spend estimates, score integration health and data silos, rate stack maturity on a 5-level scale, and deliver consolidation recommendations with ROI projections and a phased 0-30-…

Install / Use

npx skills add indranilbanerjee/digital-marketing-pro --skill martech-audit

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

82/100

Supported Platforms

Universal

Our assessment of martech-audit

martech-audit scores 82/100 on our quality scale, 77th of 90 Product Management skills we index.

Its SKILL.md is 6.4 KB long, split into 6 sections and no code examples: a thorough specification that gives an agent plenty to work with.

It has 832 GitHub stars, a meaningful sign that others use it.

Substance
29/30
Structure
11/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 26 days ago, so martech-audit is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

martech-audit compared with similar skills

All 4 of these similar skills score higher than martech-audit; compare them before choosing.

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Frequently asked questions

How do I install martech-audit?
Run npx skills add indranilbanerjee/digital-marketing-pro --skill martech-audit. The install tabs above show the steps for each supported agent.
Which AI agents does martech-audit work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is martech-audit safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is martech-audit still maintained?
The repository was last updated 26 days ago, so martech-audit is actively maintained.

name: martech-audit description: "Audit the marketing technology stack — map every tool to 11 core functions, flag gaps and redundant overlaps with wasted-spend estimates, score integration health and data silos, rate stack maturity on a 5-level scale, and deliver consolidation recommendations with ROI projections and a phased 0-30-day / 1-3-month / 3-12-month implementation roadmap. Triggers on "/digital-marketing-pro:martech-audit", "audit our martech stack", "are we paying for overlapping tools", "what's missing from our marketing stack", "help us consolidate platforms". Assessment and recommendations only — it changes no live systems and buys nothing. Reads the brand profile for industry benchmarking and compliance constraints."

/digital-marketing-pro:martech-audit

Purpose

Evaluate the current marketing technology stack for gaps, overlaps, integration issues, and optimization opportunities. Produces a comprehensive stack assessment with actionable consolidation and upgrade recommendations tied to ROI projections and implementation feasibility.

Input Required

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

  • Current tools/platforms: List of marketing tools in use, organized by category if possible (e.g., CRM: Salesforce, Email: Mailchimp)
  • Budget for martech: Current annual martech spend and available budget for changes or additions
  • Team size and technical skill level: How many people use the stack, their roles, and technical proficiency (beginner, intermediate, advanced)
  • Primary marketing goals: What the stack needs to support (lead gen, e-commerce, content marketing, ABM, retention, etc.)
  • Pain points with current stack: Known issues, bottlenecks, manual workarounds, data silos, or team frustrations
  • Growth plans: Expected team or business growth that may affect stack requirements in the next 12-18 months
  • Compliance requirements: Any data privacy, security, or regulatory constraints (GDPR, HIPAA, SOC 2, etc.)
  • Integration priorities: Which tools absolutely must talk to each other (e.g., CRM-to-email, ads-to-analytics)
  • Evaluation scope: Full stack audit or focused assessment of specific categories (e.g., just analytics, just automation)

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. Map current stack to marketing functions: Categorize every tool across 11 core functions — CRM, email/marketing automation, analytics/BI, paid advertising, social media management, CMS, attribution/tracking, data/CDP, content creation, SEO, and customer support
  3. Identify gaps: Flag marketing functions with no tool coverage, assess the business impact of each gap, and recommend solutions at multiple price points
  4. Identify overlaps: Detect multiple tools serving the same function, quantify redundant license costs, and estimate wasted spend from feature duplication
  5. Assess integration quality: Evaluate data flow between tools — native integrations, API connections, middleware (Zapier, Make), manual CSV transfers, and isolated data silos that break reporting
  6. Benchmark against industry stack patterns: Compare the stack composition, tool count, and spend-per-employee against industry norms for the brand's size, vertical, and growth stage
  7. Evaluate cost-per-function efficiency: Calculate what each marketing function costs to operate factoring tool fees, team time overhead, integration maintenance, and training costs
  8. Score stack maturity: Rate overall stack maturity on a 5-level scale (manual, basic, integrated, optimized, intelligent) with specific criteria for advancement
  9. Recommend consolidation or additions: Propose specific tool swaps, upgrades, or additions with rationale — prioritized by impact, implementation effort, and team readiness
  10. Assess future-readiness: Evaluate whether the current or proposed stack can support the brand's growth plans, emerging channels (AI, conversational, video), and evolving privacy requirements
  11. Create migration/implementation roadmap: Phase recommendations into immediate wins (0-30 days), short-term changes (1-3 months), and strategic shifts (3-12 months) with risk mitigation and rollback plans for each transition

Output

A structured martech audit report containing:

  • Stack map: Visual matrix of current tools mapped to marketing functions showing coverage, gaps, and overlaps
  • Gap analysis: Uncovered functions with recommended solutions at multiple price points and priority ranking
  • Overlap analysis: Redundant tools with consolidation recommendations, projected savings, and migration complexity
  • Integration assessment: Data flow diagram, integration health scores, silo identification, and middleware dependencies
  • Cost analysis: Per-function cost breakdown comparing current spend to optimized spend with annual savings projection
  • Stack maturity score: Current maturity level with specific actions needed to reach the next level
  • Recommended changes: Prioritized list of additions, removals, and replacements with ROI estimates and payback periods
  • Vendor comparison notes: For recommended new tools, brief comparison of top 2-3 options with pros/cons
  • Implementation roadmap: Phased migration plan with timelines, dependencies, risk factors, training needs, and rollback plans
  • Future-readiness assessment: How well the recommended stack supports growth plans, emerging channels, and evolving privacy regulations
  • Quick wins summary: Top 3 changes that deliver the most impact with the least effort — for executive stakeholder buy-in

Agents Used

  • marketing-strategist — Stack strategy alignment with business goals, function prioritization, industry benchmarking, maturity assessment
  • analytics-analyst — Integration assessment, data flow analysis, measurement infrastructure evaluation, attribution stack review

Related Skills

View on GitHub
GitHub Stars832
CategoryProduct
Updated26d ago
Forks136

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions