Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
The English summary is being prepared. Showing the original description.
42 marketing agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more coding agents. 7 pods: content, SEO, CRO, channels, growth, intelligence, sales. Foundation context + orchestration router. 27 Python tools (stdlib-only).
The English summary is being prepared. Showing the original description.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
42 production-ready marketing skills organized into 7 specialist pods with a context foundation and orchestration layer.
/read marketing-skill/marketing-ops/SKILL.md
The router will direct you to the right specialist skill.
codex --full-auto "Read marketing-skill/marketing-ops/SKILL.md, then help me write a blog post about [topic]"
Skills are auto-discovered from the repository. Ask your agent for marketing help — it routes via marketing-ops.
marketing-skill/
├── marketing-context/ ← Foundation: brand voice, audience, goals
├── marketing-ops/ ← Router: dispatches to the right skill
│
├── Content Pod (8) ← Strategy → Production → Editing → Social
├── SEO Pod (5) ← Traditional + AI SEO + Schema + Architecture
├── CRO Pod (6) ← Pages, Forms, Signup, Onboarding, Popups, Paywall
├── Channels Pod (5) ← Email, Ads, Cold Email, Ad Creative, Social Mgmt
├── Growth Pod (4) ← A/B Testing, Referrals, Free Tools, Churn
├── Intelligence Pod (4) ← Competitors, Psychology, Analytics, Campaigns
└── Sales & GTM Pod (2) ← Pricing, Launch Strategy
Run marketing-context to create your marketing-context.md file. Every other skill reads this for brand voice, audience personas, and competitive landscape. Do this once — it makes everything better.
| Pod | Skills | Python Tools | Key Capabilities |
|---|---|---|---|
| Foundation | 2 | 2 | Brand context capture, skill routing |
| Content | 8 | 5 | Strategy → production → editing → humanization |
| SEO | 5 | 2 | Technical SEO, AI SEO (AEO/GEO), schema, architecture |
| CRO | 6 | 0 | Page, form, signup, onboarding, popup, paywall optimization |
| Channels | 5 | 2 | Email sequences, paid ads, cold email, ad creative |
| Growth | 4 | 2 | A/B testing, referral programs, free tools, churn prevention |
| Intelligence | 4 | 4 | Competitor analysis, marketing psychology, analytics, campaigns |
| Sales & GTM | 2 | 1 | Pricing strategy, launch planning |
| Standalone | 4 | 9 | ASO, brand guidelines, PMM strategy, prompt engineering |
All scripts are stdlib-only (zero pip installs), CLI-first with JSON output, and include embedded sample data for demo mode.
# Content scoring
python3 marketing-skill/content-production/scripts/content_scorer.py article.md
# AI writing detection
python3 marketing-skill/content-humanizer/scripts/humanizer_scorer.py draft.md
# Brand voice analysis
python3 marketing-skill/content-production/scripts/brand_voice_analyzer.py copy.txt
# Ad copy validation
python3 marketing-skill/ad-creative/scripts/ad_copy_validator.py ads.json
# Pricing scenario modeling
python3 marketing-skill/pricing-strategy/scripts/pricing_modeler.py
# Tracking plan generation
python3 marketing-skill/analytics-tracking/scripts/tracking_plan_generator.py
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
The English summary is being prepared. Showing the original description.
Creating 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. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
The English summary is being prepared. Showing the original description.
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
The English summary is being prepared. Showing the original description.
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
The English summary is being prepared. Showing the original description.
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
The English summary is being prepared. Showing the original description.
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
The English summary is being prepared. Showing the original description.