indranilbanerjee/digital-marketing-pro/martech-audit
Claude Code and agent skill by indranilbanerjee/digital-marketing-pro
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- ext:[{"type":"template","description":"Custom templates for code generation"}]
Checking that the SKILL.md file is still in the repository.
Audit the martech stack for gaps, overlaps and wasted spend, with a consolidation plan. \"audit our martech stack\"
Install
npx vskill@latest install indranilbanerjee/digital-marketing-pro/martech-auditSemi-extensibleMentions customization, but needs skill-specific knowledge. Read the extensible skills standard
SKILL.md
/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
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/martech-audit/SKILL.md
Popularity
- Repository stars
- 885
- Repository forks
- 141
- 7-day trend score
- 33
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 4 Apr 2026, 6 months ago.
Extension points
templateCustom templates for code generation
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