Running Marketing Campaigns

What it does

When your agent uses it

• Asked to create a marketing campaign
• Plan content strategy
• Build email sequences
• Set up UTM tracking

Example prompts

• “create a marketing campaign”
• “plan content strategy”
• “build email sequences”
• “/running-marketing-campaigns”

Requirements

• Python 3

Workflow steps

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

1. 1Welcome (immediate): Set expectations, deliver promised value
2. 2Value (day 2-3): Best content or quick win
3. 3Engagement (day 5-7): Encourage reply or action
4. 4Offer (day 10): Clear CTA with incentive

What it can do on your machine

Read from SKILL.md and the folder at commit d167b41. 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 2 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

Running Marketing Campaigns loads about 2.7k tokens when it runs, and up to ~34k if it reads all its reference files. Until then it costs about 186 tokens; SKILL.md has 599 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~186

When it runs · the whole SKILL.md, loaded when a task matches

~2.7k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~34k

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

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 nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 599 words, ~2,741 tokens.

name

running-marketing-campaigns

description

Plans, creates, and optimizes digital marketing campaigns including content strategy, social media, email marketing, SEO, and AI visibility (GEO). Generates UTM parameters and tracking URLs. Helps develop go-to-market strategies, campaign messaging, content calendars, and performance measurement frameworks. Use when asked to "create a marketing campaign", "plan content strategy", "build email sequences", "set up UTM tracking", "analyze marketing metrics", "launch a product", "optimize for SEO", "improve AI visibility", "optimize for voice search", "set up IndexNow", "check accessibility for SEO", or "create social media previews". Supports both marketing beginners and experienced marketers needing templates.

license

MIT

metadata.version

1.3.0

metadata.domains

content, social, email, analytics, gtm, brand, seo, geo, voice-search, accessibility

metadata.author

Claude Skills

Source: where traffic originates (google, facebook, newsletter)
Medium: how it arrives (cpc, email, social, organic)
Campaign: initiative name (spring-sale-2025, product-launch)

Format: lowercase, hyphens, no spaces
Input: "Spring Sale 2025" → Output: "spring-sale-2025"
Input: "Q1 Launch Campaign" → Output: "q1-launch-campaign"

Example: ?utm_source=linkedin&utm_medium=social&utm_campaign=q1-launch

# Generate UTM parameters
python scripts/utm_tools.py generate -s facebook -m paid-social -c spring-2025

# Build complete tracking URL
python scripts/utm_tools.py build -u https://example.com -s email -m newsletter -c q1-launch

# Validate existing URL
python scripts/utm_tools.py validate -u "https://example.com?utm_source=email&utm_medium=cpc"

# Batch process from CSV
python scripts/utm_tools.py batch -f campaigns.csv -u https://example.com -o tracking.csv

# Check GA4 channel mapping
python scripts/utm_tools.py ga4-check -s facebook -m paid-social

# Full compliance check
python scripts/brand_checker.py check --file marketing_copy.txt

# Check readability score
python scripts/brand_checker.py readability --text "Your marketing copy here"

# Find banned words
python scripts/brand_checker.py banned --file email_draft.txt

# Full audit with JSON output
python scripts/brand_checker.py full-audit --file campaign.txt --output report.json

Creating or planning content?
├─ Yes → content-strategy.md
│        • Topic clusters, pillar pages
│        • Content calendars (annual/quarterly/weekly)
│        • TOFU/MOFU/BOFU mapping
│        • Repurposing workflows
└─ No ↓

Platform-specific social guidance?
├─ Yes → social-media.md
│        • Instagram, LinkedIn, TikTok, X, Facebook
│        • Posting cadence and timing
│        • Algorithm priorities
│        • Engagement benchmarks
└─ No ↓

Email campaigns or sequences?
├─ Yes → email-marketing.md
│        • Welcome, drip, re-engagement sequences
│        • Subject line optimization
│        • Segmentation strategies
│        • Deliverability requirements
└─ No ↓

UTM parameters or tracking URLs?
├─ Yes → utm-tracking.md + scripts/utm_tools.py
│        • Parameter formatting rules
│        • Naming conventions
│        • GA4 channel alignment
│        • Dynamic parameters for ads
│        • Batch URL generation
└─ No ↓

Analytics, metrics, or reporting?
├─ Yes → analytics-measurement.md
│        • KPIs by channel
│        • GA4 configuration checklist
│        • Attribution models
│        • ROI formulas
└─ No ↓

Product launch or go-to-market?
├─ Yes → gtm-tools.md
│        • SOSTAC, RACE, AARRR frameworks
│        • Launch campaign structure
│        • Positioning methodology
│        • Marketing tool selection
└─ No ↓

Brand voice, tone, or messaging?
├─ Yes → brand-guidelines.md + scripts/brand_checker.py
│        • Voice dimension matrix
│        • This-but-not-that chart
│        • Messaging framework
│        • Terminology standards
│        • Compliance checking
└─ No ↓

SEO or search engine optimization?
├─ Yes → seo-optimization.md
│        • Technical SEO (crawling, indexing, speed)
│        • On-page SEO (titles, headers, content)
│        • Content SEO (E-E-A-T, topic clusters)
│        • Link building strategies
│        • Core Web Vitals
└─ No ↓

AI visibility, GEO, or chatbot optimization?
├─ Yes → geo-optimization.md
│        • Generative Engine Optimization (GEO)
│        • LLMO (Large Language Model Optimization)
│        • AEO (Answer Engine Optimization)
│        • ChatGPT, Perplexity, AI Overviews visibility
│        • Content structure for AI citation
└─ No → Clarify the specific marketing need

© nicepkg, 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 12 other files (scripts, references) in workflows/marketing-pro-workflow/.claude/skills/running-marketing-campaigns of nicepkg/ai-workflow.

• SKILL.md
• LICENSE
• references/analytics-measurement.md
• references/brand-guidelines.md
• references/content-strategy.md
• references/email-marketing.md
• references/geo-optimization.md
• references/gtm-tools.md
• references/seo-optimization.md
• references/social-media.md
• references/utm-tracking.md
• scripts/brand_checker.py
• scripts/utm_tools.py

Open the folder on GitHubat commit d167b41