Agent skill

Marketing Ops

by borghei in borghei/Claude-Skills

Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing.

MITAuto-check passedWriting & Content

Install Marketing Ops

skills CLI
$ npx skills add borghei/Claude-Skills --skill marketing-ops -a claude-code

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

GitHub CLI
$ gh skill install borghei/Claude-Skills marketing-ops --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/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/marketing/marketing-ops .claude/skills/marketing-ops && 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
marketing-ops
GitHub stars
886
Token cost
~5k tokens
SKILL.md length
2,060 words
Files
4 (incl. scripts)
Skills in repo
354
Repo updated
First seen
Licence
MIT

At a glance

Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing.

  • Works in 4 steps: Identify what the user is trying to… → Match to the routing matrix below → Route to the correct skill with context → …
  • Routing marketing questions
  • SKILL.md covers Table of Contents, Keywords, Quick Start and Skill Routing Matrix, plus 4 more sections
  • Runs Python scripts from its folder; calls python

What it does

Marketing Ops is an agent skill from borghei/Claude-Skills. Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing. Use when routing marketing questions, orchestrating multi-skill campaigns, or managing the MarTech stack and automation.

Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/campaign_budget_allocator.py`, `scripts/lead_scoring_simulator.py` and `scripts/martech_stack_auditor.py`).

It sits in Writing & Content. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Routing marketing questions
  • Orchestrating multi-skill campaigns
  • Managing the MarTech stack and automation

Example prompts

  • “/marketing-ops”

Requirements

  • Python 3

Workflow steps

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

  1. Identify what the user is trying to accomplish
  2. Match to the routing matrix below
  3. Route to the correct skill with context
  4. If multiple skills are needed, create an orchestration plan

What it can do on your machine

Read from SKILL.md and the folder at commit 4a698e8. 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

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Marketing Ops loads about 5k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 2,060 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~5k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 2,060 words, ~5,032 tokens.

Download SKILL.mdSave it as .claude/skills/marketing-ops/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
marketing-ops
description
Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing. Use when routing marketing questions, orchestrating multi-skill campaigns, or managing the MarTech stack and automation.
license
MIT
metadata.version
1.0.0
metadata.author
borghei
metadata.category
marketing
metadata.domain
operations
metadata.updated
2026-03-09

Marketing Ops

Central command for marketing operations — routing questions, orchestrating campaigns, managing MarTech, and coordinating across all marketing functions.


Table of Contents


Keywords

marketing ops, marketing operations, MarTech stack, marketing automation, campaign orchestration, skill routing, marketing coordination, data management, attribution, marketing technology, campaign management, workflow automation, lead management, marketing analytics, marketing infrastructure, CRM integration, email automation, lead scoring


Quick Start

Route a Marketing Question
  1. Identify what the user is trying to accomplish
  2. Match to the routing matrix below
  3. Route to the correct skill with context
  4. If multiple skills are needed, create an orchestration plan
Orchestrate a Campaign
  1. Check that marketing context exists (if not, create it first)
  2. Identify all skills needed for the campaign
  3. Sequence skills in the correct order
  4. Execute each phase, passing outputs to the next
  5. Measure results using campaign analytics

Skill Routing Matrix

Content Skills
User SaysRoute ToNot This
"Write a blog post," "content ideas," "what should I write"Content StrategyNot Copywriting (that is for page copy)
"Write copy for my homepage," "landing page copy," "headline"CopywritingNot Content Strategy (that is for planning)
"Edit this copy," "proofread," "polish this"Copy EditingNot Copywriting (that is for writing new)
"Social media post," "LinkedIn post," "tweet"Social ContentNot Content Strategy (that is for planning)
"Write an article end-to-end," "content production"Content ProductionNot Content Strategy (production has the full pipeline)
"Sounds too robotic," "make it human," "AI watermarks"Content HumanizerNot Copy Editing (that is for editorial quality)
"Marketing ideas," "brainstorm," "what else can I try"Marketing IdeasNot Content Strategy (that is for content specifically)
SEO Skills
User SaysRoute ToNot This
"SEO audit," "technical SEO," "on-page SEO"SEO SpecialistNot AI SEO (that is for AI search engines)
"AI search," "ChatGPT visibility," "Perplexity," "GEO"AI SEONot SEO Specialist (that is traditional SEO)
Conversion Skills
User SaysRoute ToNot This
"Landing page," "campaign page," "lead capture page"Landing Page GeneratorNot Copywriting (generator includes structure + copy)
"Brand guidelines," "style guide," "brand voice"Brand GuidelinesNot Marketing Context (guidelines are implementation)
Channel Skills
User SaysRoute ToNot This
"Paid ads," "Google Ads," "Meta ads," "ad campaign"Paid AdsNot Ad Creative (that is for copy, not strategy)
"Ad copy," "ad headlines," "ad variations," "RSA"Ad CreativeNot Paid Ads (that is for campaign strategy)
"Cold email," "outreach," "prospecting email"Cold EmailNot Content Production (cold email has different rules)
Strategy Skills
User SaysRoute ToNot This
"Marketing context," "who is my customer," "ICP"Marketing ContextSet up before other skills
"Marketing strategy," "how to market"Marketing IdeasNot Marketing Ops (ops is for execution routing)
"Psychology," "persuasion," "why people buy"Marketing PsychologyNot Copywriting (psychology is the theory layer)

Campaign Orchestration

Campaign Type: Product/Feature Launch
Sequence:
1. Marketing Context (verify foundation exists)
2. Content Strategy (plan launch content)
3. Copywriting (write landing page and email copy)
4. Landing Page Generator (build the conversion page)
5. Ad Creative (create ad copy for paid promotion)
6. Paid Ads (set up campaign targeting and budget)
7. Social Content (create organic social posts)
8. Cold Email (targeted outreach to prospects)
9. Campaign Analytics (measure results)
Campaign Type: Content Marketing Sprint
Sequence:
1. Content Strategy (plan topics and calendar)
2. Content Production (research, write, optimize each piece)
3. Content Humanizer (polish for natural voice)
4. AI SEO (optimize for AI search citation)
5. Social Content (distribute across platforms)
6. Campaign Analytics (track performance)
Campaign Type: Lead Generation Blitz
Sequence:
1. Marketing Context (verify ICP and messaging)
2. Landing Page Generator (build conversion pages)
3. Ad Creative (generate ad variations)
4. Paid Ads (launch campaigns)
5. Cold Email (parallel outbound effort)
6. Campaign Analytics (measure and optimize)
Campaign Type: Brand Awareness
Sequence:
1. Marketing Context (define brand foundation)
2. Brand Guidelines (establish visual and verbal standards)
3. Content Strategy (plan thought leadership content)
4. Social Content (build social presence)
5. Content Production (create pillar content)
6. Campaign Analytics (measure reach and engagement)
Campaign Type: Conversion Optimization
Sequence:
1. Marketing Psychology (identify behavioral levers)
2. Copy Editing (audit existing page copy)
3. Copywriting (rewrite underperforming sections)
4. Landing Page Generator (redesign conversion pages)
5. Campaign Analytics (set up A/B tests and track results)

MarTech Stack Management

Core Stack Components
CategoryPurposeCommon ToolsIntegration Priority
CRMCustomer data managementSalesforce, HubSpot, PipedriveCritical
Marketing AutomationEmail, workflows, scoringHubSpot, Marketo, ActiveCampaignCritical
AnalyticsTraffic and behavior trackingGA4, Mixpanel, AmplitudeCritical
Email PlatformEmail sending and deliverabilitySendGrid, Mailchimp, Customer.ioCritical
Ad PlatformsPaid advertisingGoogle Ads, Meta Ads, LinkedIn AdsHigh
SEO ToolsKeyword research and trackingAhrefs, SEMrush, MozHigh
Social ManagementPublishing and schedulingBuffer, Hootsuite, Sprout SocialMedium
Content ManagementContent creation and hostingWordPress, Webflow, GhostHigh
AttributionMulti-touch attributionAttribution App, DreamdataMedium
ABMAccount-based marketingDemandbase, 6sense, TerminusMedium (B2B)
Stack Evaluation Framework

When evaluating new tools:

CriterionWeightScoring
Does it solve a validated problem?30%Clear need (3), Nice to have (2), Speculative (1)
Does it integrate with existing stack?25%Native integration (3), API available (2), Manual export (1)
Total cost of ownership20%Under budget (3), At budget (2), Over budget (1)
Time to value15%Under 1 week (3), 1-4 weeks (2), 4+ weeks (1)
Team capability to use it10%Self-serve (3), Training needed (2), Expert required (1)

Rule: Never add a tool that does not integrate with your CRM. Disconnected data is worse than no data.

Stack Audit Checklist
  • Every tool has a clear owner responsible for it
  • Every tool connects to CRM or central data warehouse
  • No overlapping tools doing the same job
  • All contracts reviewed annually for cost optimization
  • Data flows documented between tools
  • Integration health monitored (failures flagged within 24 hours)
  • Tool adoption measured (tools nobody uses should be cut)

Marketing Automation Framework

Automation Priority by Impact
AutomationImpactComplexityBuild First
Welcome/onboarding email sequenceHighLowYes
Lead scoringHighMediumYes
Abandoned cart/trial follow-upHighLowYes
Event-triggered emails (usage milestones)HighMediumSecond priority
Lead routing to salesHighLowYes
Social media schedulingMediumLowSecond priority
Reporting dashboardsMediumMediumSecond priority
Content personalizationMediumHighThird priority
Predictive lead scoringMediumHighThird priority
Dynamic content insertionLow-MediumHighLater
Lead Scoring Model
Signal TypeExamplesScore
Demographic fitMatches ICP (title, company size, industry)+10 to +25
Behavioral - high intentVisited pricing page, requested demo, viewed case study+15 to +25
Behavioral - engagementOpened 3+ emails, downloaded content, attended webinar+5 to +15
Behavioral - productUsed free trial, reached activation milestone+20 to +30
Negative signalsCompetitor employee, student email, unsubscribed-10 to -50

Lead score thresholds:

  • 0-25: Nurture (automated email sequences)
  • 26-50: Marketing Qualified Lead (MQL) — deeper engagement
  • 51-75: Sales Qualified Lead (SQL) — route to sales
  • 76+: Hot lead — immediate sales outreach
Email Automation Sequences
SequenceTriggerEmailsDuration
WelcomeNew signup5-714 days
OnboardingStarted trial4-614 days
Re-engagementInactive 30 days3-421 days
Win-backChurned3-530 days
NurtureDownloaded content5-745 days
UpsellReached plan limit2-37 days
Referral90 days active + high NPS27 days

Data Management

Data Quality Framework
DimensionDefinitionHow to Measure
CompletenessRequired fields are filled% of records with complete required fields
AccuracyData matches realitySample audit against source of truth
ConsistencySame data, same format everywhereCross-system comparison
TimelinessData is current% of records updated within defined freshness window
UniquenessNo duplicate recordsDuplicate rate in CRM
Data Hygiene Schedule
TaskFrequencyOwner
Deduplicate CRM recordsMonthlyMarketing Ops
Verify email addressesBefore every campaignMarketing Ops
Update firmographic dataQuarterlyMarketing Ops
Clean inactive contactsQuarterlyMarketing Ops
Audit UTM parameter consistencyMonthlyMarketing Ops
Review lead scoring accuracyQuarterlyMarketing + Sales
Sync CRM with marketing automationContinuous (automated)System
UTM Parameter Standards

Consistent UTM tagging is foundational for attribution:

utm_source: [platform] — google, linkedin, facebook, email, partner-name
utm_medium: [channel type] — cpc, organic, email, social, referral
utm_campaign: [campaign name] — product-launch-q1, blog-promo-march
utm_content: [variant] — headline-a, cta-blue, audience-cmo
utm_term: [keyword] — for paid search only

Rules:

  • Always lowercase
  • Use hyphens, not spaces or underscores
  • Document all campaign names in a shared registry
  • Validate UTMs before launching any campaign

Attribution Framework

Attribution Models
ModelHow It WorksBest ForLimitation
First-touch100% credit to first interactionUnderstanding acquisition channelsIgnores nurture touchpoints
Last-touch100% credit to final interactionUnderstanding conversion triggersIgnores awareness touchpoints
LinearEqual credit to all touchpointsSimple multi-touch understandingTreats all touches equally
Time-decayMore credit to recent touchpointsLong sales cyclesMay undervalue awareness
Position-based (U-shaped)40% first, 40% last, 20% middleBalanced viewArbitrary weighting
Data-drivenML-based weightingSophisticated programsRequires large data volume
Show full SKILL.md (840 more words)Show less
Attribution Implementation Checklist
  • UTM parameters standardized and enforced
  • All marketing channels tagged consistently
  • CRM captures source/medium/campaign for every lead
  • Conversion events defined and tracked
  • Attribution model selected and documented
  • Reporting cadence established (weekly + monthly)
  • Channel ROI calculated and compared monthly

Marketing Audit

Full Marketing Audit Structure
AreaWhat to AssessKey Questions
StrategyPositioning, ICP, messagingIs our positioning differentiated? Do we know our ICP?
ContentQuality, quantity, performanceIs content driving traffic and conversions?
SEORankings, technical health, content gapsAre we visible for target keywords?
PaidROAS, CPA, channel mixAre paid campaigns profitable?
EmailList health, engagement, automationAre sequences driving conversions?
SocialReach, engagement, brand consistencyAre we building audience and trust?
MarTechStack utilization, integration healthAre our tools connected and used?
DataQuality, attribution, reportingCan we trust our data and attribution?
Audit Scoring

For each area, score 1-5:

ScoreStatusAction
1Not presentBuild from scratch
2Basic but underperformingSignificant improvement needed
3FunctionalOptimize and iterate
4StrongMaintain and scale
5Best-in-classProtect and document

Best Practices

  1. Context first, always — Check that marketing context exists before any marketing work. Everything works better with context.

  2. Route precisely — A question routed to the wrong skill produces wrong-shaped output. Use the routing matrix.

  3. Orchestrate, do not fragment — Multi-skill campaigns need a sequence plan. Ad hoc execution produces inconsistent results.

  4. Own the data — Marketing ops is responsible for data quality. Bad data produces bad decisions.

  5. Standardize UTMs — Inconsistent UTM parameters make attribution impossible. Enforce standards before launching campaigns.

  6. Audit tools annually — Every tool should justify its cost and usage. Cut tools nobody uses.

  7. Automate the repeatable — If you do it every week, automate it. Manual processes do not scale.

  8. Document everything — Campaign playbooks, automation logic, data flows, tool configurations. Tribal knowledge is fragile.

  9. Align with sales — Marketing ops and sales ops must share data definitions, lead scoring criteria, and attribution models.

  10. Measure what matters — Track leading indicators (MQLs, pipeline velocity) alongside lagging indicators (revenue, ROI).


Integration Points

  • Marketing Context — Foundation for all marketing operations. Create this first.
  • Campaign Analytics — Use for measuring outcomes of orchestrated campaigns.
  • All Marketing Skills — Marketing Ops routes questions and orchestrates workflows across the full skill ecosystem.
  • Content Strategy — Coordinate content calendar with campaign schedule.
  • Paid Ads — Coordinate paid campaigns with organic efforts and landing pages.
  • Cold Email — Coordinate outbound with inbound campaigns to avoid audience overlap.

Troubleshooting

SymptomLikely CauseResolution
Marketing and sales disagree on lead qualityLead scoring thresholds not aligned or model not validated against outcomesRun lead_scoring_simulator.py with historical data; validate that high-scored leads convert at 2x+ the rate of low-scored
MarTech stack costs growing 20%+ YoY without proportional ROITool proliferation without consolidation; unused tools not auditedRun martech_stack_auditor.py quarterly; cut tools with <30% utilization; consolidate overlapping categories
Campaign data siloed across platforms, attribution impossibleNo unified UTM standard; tools not integrated through CRMStandardize UTM parameters (lowercase, hyphens, documented registry); require CRM integration for every tool
Lead routing to sales takes >24 hoursManual handoff process; no automation between marketing automation and CRMImplement automated lead routing rules; route hot leads (76+ score) within 15 minutes
Email deliverability dropping below 90%List hygiene not maintained; bounced/inactive contacts not cleanedDeduplicate monthly; verify addresses before campaigns; clean inactive contacts quarterly
Budget spent evenly across channels regardless of performanceNo performance-based allocation framework in placeUse campaign_budget_allocator.py with historical ROAS data; shift budget quarterly toward highest performers
Multi-skill campaigns produce inconsistent messagingNo orchestration sequence defined; skills executed ad hocFollow campaign orchestration templates; always start with marketing context verification

Success Criteria

  • All MarTech tools connected to CRM with verified data flow
  • MarTech stack audit score above 70/100 with zero critical gaps
  • Lead scoring model validated: high-scored leads convert at 2x+ rate of low-scored
  • UTM parameters 100% standardized and validated before every campaign launch
  • Campaign orchestration follows documented sequences with context verified first
  • Budget allocation reviewed and adjusted quarterly based on channel ROI data
  • Data quality: <5% duplicate rate in CRM, <2% email bounce rate, >95% required fields complete

Scope & Limitations

In Scope: Skill routing and orchestration, campaign sequencing, MarTech stack management and auditing, marketing automation (email sequences, lead scoring, lead routing), data quality management, UTM standardization, attribution framework setup, marketing audit methodology, budget allocation.

Out of Scope: Individual channel execution (see channel-specific skills), analytics implementation (see analytics-tracking skill), content creation (see content-creator skill), sales operations and CRM administration (sales ops function).

Limitations: Marketing ops is the coordination layer, not the execution layer. Tool auditing uses self-reported utilization data; actual usage may differ. Lead scoring models require minimum 50+ historical conversions for meaningful validation. Budget allocation assumes linear channel scaling; real channels have diminishing returns.


Scripts

ScriptPurposeUsage
scripts/martech_stack_auditor.pyAudit MarTech stack for gaps, redundancies, and optimization opportunitiespython scripts/martech_stack_auditor.py stack.json --demo
scripts/campaign_budget_allocator.pyAllocate marketing budget across campaigns by priority and performancepython scripts/campaign_budget_allocator.py campaigns.json --budget 100000 --strategy balanced
scripts/lead_scoring_simulator.pySimulate and validate lead scoring models against actual outcomespython scripts/lead_scoring_simulator.py leads.json --demo

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

Files

SKILL.md and 3 other files (scripts) in marketing/marketing-ops of borghei/Claude-Skills.

  • SKILL.md
  • scripts/campaign_budget_allocator.py
  • scripts/lead_scoring_simulator.py
  • scripts/martech_stack_auditor.py

Open the folder on GitHubat commit 4a698e8

Compare with similar skills

Marketing Ops 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.

Marketing Ops compared with similar skills
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Marketing Ops this skillborghei/Claude-Skills886—~5kAutomated safety check: PassMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
WeChat Hot Article AnalysisSpaceZephyr/creator-buddy1.6k—~847Automated safety check: PassNone
Brand Voice Content Creatordavila7/claude-code-templates32k3 repos~1.9kAutomated safety check: PassMIT
Benchmark Account ImporterXBuilderLAB/cheat-on-content7.2k—~2.3kAutomated safety check: NotesMIT
WeChat Account Topic and Title WriterBigPengSays/bigpeng-hot-gzh265—~501Automated safety check: PassMIT

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Questions about Marketing Ops

What does Marketing Ops do?

Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing. Marketing Ops is an agent skill from borghei/Claude-Skills. Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing.

When should I use Marketing Ops?

Marketing Ops fits situations like: routing marketing questions; orchestrating multi-skill campaigns; managing the MarTech stack and automation.

How do I install Marketing Ops in Claude Code?

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

How do I install Marketing Ops in Codex?

Run `npx skills add borghei/Claude-Skills --skill marketing-ops -a codex`. Or copy the skill folder (marketing/marketing-ops in borghei/Claude-Skills) into .agents/skills/marketing-ops in your project. Codex loads it when a task matches its description.

Can I use Marketing Ops 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 borghei/Claude-Skills --skill marketing-ops -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/marketing-ops, .gemini/skills/marketing-ops, .github/skills/marketing-ops and .opencode/skills/marketing-ops in your project.

What does Marketing Ops need to run?

Going by SKILL.md and its folder, Marketing Ops needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Marketing Ops 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 Marketing Ops 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Marketing Ops use?

Marketing Ops is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Marketing Ops use?

About 5k tokens (SKILL.md is roughly 20k 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 Marketing Ops?

Skills that share tags, products or a category with Marketing Ops: Social (coreyhaines31/marketingskills, 54k stars), WeChat Hot Article Analysis (SpaceZephyr/creator-buddy, 1.6k stars), Brand Voice Content Creator (davila7/claude-code-templates, 32k stars) and Benchmark Account Importer (XBuilderLAB/cheat-on-content, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Marketing Ops?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 886 GitHub stars. The repository holds 354 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.