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-auditInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Product ManagementSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| martech-audit (this skill)by indranilbanerjee | 82 | 832 | 26d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 90.1k | 18d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 12d ago | SKILL.md |
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.
Skill content
View source on GitHubname: 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
- Load brand context: Read
~/.claude-marketing/brands/_active-brand.jsonfor 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. - 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
- Identify gaps: Flag marketing functions with no tool coverage, assess the business impact of each gap, and recommend solutions at multiple price points
- Identify overlaps: Detect multiple tools serving the same function, quantify redundant license costs, and estimate wasted spend from feature duplication
- 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
- 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
- Evaluate cost-per-function efficiency: Calculate what each marketing function costs to operate factoring tool fees, team time overhead, integration maintenance, and training costs
- Score stack maturity: Rate overall stack maturity on a 5-level scale (manual, basic, integrated, optimized, intelligent) with specific criteria for advancement
- Recommend consolidation or additions: Propose specific tool swaps, upgrades, or additions with rationale — prioritized by impact, implementation effort, and team readiness
- 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
- 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
Agent-Reach
90.1kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
pptx
177.9kUse this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an em…
design
130.2kComprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG…
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
