The Decision
Marketing Skills is a comprehensive agent toolkit covering the full execution stack: SEO content, social posting, influencer outreach, performance reporting, campaign ideation, and ad copy. It automates the repetitive tasks that consume marketing teams’ time.
It replaces manual execution in Hootsuite, Buffer, Sprout Social, and even parts of HubSpot. All in your terminal.
Our testing rates it 9.1/10. For solo marketers and small teams, it’s a force multiplier.
Who It’s For
- Marketing teams looking to automate execution tasks
- Solo marketers wearing multiple hats
- Agencies standardizing client deliverabless
- Growth hackers running experiments at scale
Who Should Skip
- Hobby bloggers with no marketing goals
- Large enterprises with dedicated martech stacks (they need enterprise SaaS)
- Marketers who prefer fully manual control
Why This Skill Matters
Marketing execution is fragmented: you write SEO blog posts in Docs, schedule social in Buffer, analyze in Google Analytics, outreach influencers via Gmail. Marketing Skills unifies these tasks under the Agent. You instruct once, and the agent executes across channels. It connects to your existing tools via APIs, reducing context switching and manual work.
The Pipeline
Campaign Brief (Goal, Audience, Budget)
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v
Content Production
- SEO blog posts
- Social media calendar
- Ad copy variants
- Influencer outreach templates
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v
Distribution Setup
- Schedule posts via Buffer API
- Upload ad creatives to platforms
- Send outreach emails
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v
Monitoring & Reporting
- Weekly performance dashboard
- Insights and next-step recommendations
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v
Iteration
Adjust targeting, copy, creative based on data
Core Features
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SEO Content Generator
Takes a keyword, outputs a fully optimized blog post with meta description, proper heading hierarchy, and LSI terms. Can also generate product page copy. Verdict: great. -
Social Media Scheduler
Plans and writes a week’s worth of posts across platforms. Can auto-schedule via Buffer/Hootsuite APIs, reducing manual posting. Verdict: great. -
Influencer Outreach Writer
Personalized outreach emails for influencer partnerships, including follow-up sequences. Increases response rates through personalization. Verdict: excellent. -
Performance Dashboard Builder
Aggregates data from Google Analytics, Search Console, and social platforms into a weekly marketing report with insights. Verdict: great. -
Campaign Ideas Generator
Brainstorms campaign concepts based on goals, audience, and budget. Produces briefs that can be executed by the same agent. Verdict: great. -
Ad Copy Writer
Generates multiple ad copy variants for Google, Facebook, TikTok, LinkedIn, respecting each platform’s format constraints and best practices. Verdict: great.
Hands-On
Installation:
npx skills add kostja94/marketing-skills
Content plan from keyword:
Using marketing:seo-plan,
Keyword: "best running shoes for flat feet"
Target: 5 blog posts + 3 buying guides
Include: meta descriptions, internal linking suggestions
Social media week:
Using marketing:social-week,
Occasion: Product launch (AI writing assistant)
Platforms: Twitter, LinkedIn, Instagram
Tone: Professional yet approachable
Output: 10 posts with hashtags and image suggestions
Influencer outreach:
Using marketing:influencer-outreach,
Target: Tech YouTubers with 10k-50k subs
Pitch: Sponsored video about AI writing tools
Personalization: mention their recent video on productivity
Sequence: 3 emails (initial + 2 follow-ups)
Weekly report:
Using marketing:weekly-report,
Data sources: Google Analytics, Search Console, Twitter analytics
Period: last 7 days
Include: traffic sources, top pages, engagement metrics, recommendations
Campaign brainstorming:
Using marketing:campaign-ideas,
Goal: Increase signups for AI writing tool by 30% in 90 days
Audience: Students and early-career professionals
Budget: $5k
Channels: Content, social, maybe paid
Generate 3 campaign concepts with briefs.
Real-World Case Study: AI-Powered B2B Social Media Pipeline — 1 Person, 15 Posts/Week
The Challenge
A solo B2B marketing consultant (operating in the cross-border export space) needed to maintain an active social media presence across LinkedIn, WeChat, and industry forums — while also delivering client work. Manual content creation consumed 15+ hours/week with inconsistent output quality. The goal: scale to 15 posts per week without hiring, while keeping every post tied to measurable business outcomes (service page clicks, inbound DMs, sales team reuse).
The Prompt Chain (Exact Steps)
Step 1 — Weekly Theme Selection (Human) Pick one theme cluster tied to a service page. Example: “How AI knowledge bases help manufacturing firms respond to RFQs.” The theme must connect to a real buyer problem, not just a trending topic.
Step 2 — Asset Decomposition Prompt
You are a B2B content strategist. Take the following service page copy and break it into 15 social media micro-assets:
- 3 insight posts (problem framing)
- 3 myth-busting posts (common misconceptions)
- 3 step-by-step/tactical posts
- 2 case study or scenario posts
- 2 visual summary posts (carousel script)
- 1 personal opinion post
- 1 soft CTA post
For each asset, output: angle, target audience segment, evidence source, and CTA. Do NOT generate generic filler.
Step 3 — Platform Adaptation Prompt
Rewrite the following asset for LinkedIn B2B audience:
Tone: professional, data-backed, concise.
Format: 120-180 words, open with a counterintuitive hook, include one stat or quote, end with a question.
Asset: [paste micro-asset from Step 2]
Constraints: No emojis. No hashtag spam (max 3 relevant tags).
Repeat with platform-specific variants (WeChat long-form, Twitter/X thread, forum reply).
Step 4 — Quality Gate Prompt (Anti-Hallucination)
Review the following social post for: factual accuracy, brand voice consistency, over-promising claims, and client confidentiality. Flag anything in red (must edit), yellow (should review), or green (publish-ready).
Post: [paste draft]
Step 5 — Performance Review Prompt
Analyze last week's 15 posts. For each, report: impressions, saves/bookmarks, profile visits, DMs received, service page clicks, and whether the sales team reused any content. Rank by business impact (not vanity metrics). Suggest 2 adjustments for next week.
The Result
| Metric | Before AI Pipeline | After 30-Day Pilot |
|---|---|---|
| Posts per week | 3-5 (inconsistent) | 15 (reliable cadence) |
| Time spent per week | 15+ hours | ~6 hours (Mon prep, Tue AI gen, Wed review, Thu schedule) |
| Content-to-service-page linkage | < 20% | 85%+ posts tie to a landing page |
| Inbound DMs per week | 1-2 | 5-7 |
| Sales team content reuse | 0 posts/month | 4-6 posts/month cited in sales calls |
The 30-day pilot ran on a single theme cluster. Week 1: prep assets. Week 2: AI generated 15 drafts, 10 published after review. Week 3: rewrites based on engagement data. Week 4: full review — the top-performing post (a myth-busting piece) drove 40% of all service page clicks that month.
Key Takeaways for Prompt Engineering
- Theme anchoring beats random generation. One focused theme cluster per week produces coherent, reinforcing content. AI excels at multi-angle decomposition of a single source — it struggles with 15 unrelated topics.
- Prompt the asset breakdown before the platform adaptation. Two-step prompting (decompose → adapt) prevents generic output. The decomposition prompt forces AI to think in content strategy terms, not just copywriting.
- Build in a hallucination gate. AI-generated B2B content must pass a factual review step. The red/yellow/green triage system keeps review under 30 minutes while catching errors that would damage credibility.
- Measure business outcomes, not vanity metrics. Likes and impressions are noise for B2B. Track service page clicks, DMs, and sales team reuse — the only metrics that prove content pipeline ROI.
- Refresh the asset pool monthly. Outdated case studies, revised service pages, and stale talking points must be pruned. AI reusing expired material is worse than posting nothing.
Source: Herewow/TimZhang (2026) — B2B social media content pipeline methodology; Chinese social media AI content generation best practices (Editorialge Chinese Desk, 2026).
Pricing
Free (Open Source) — All sub-skills included. You bring the API keys for third-party services (Buffer, Analytics APIs). No subscription to the skill itself.
Verdict: 9.1/10
Marketing Skills is the most complete open-source marketing execution suite. While individual tools handle one channel, this toolkit covers all major execution tasks. For a solo marketer or small team, it turns weeks of manual work into hours of agent execution.Strategy remains human, but the doing is automated.
Try It
npx skills add kostja94/arketing-skills
Source Code · 644 ⭐ · Open Source
FAQ
Q: How many social posts can it generate per day?
A: As many as your LLM API quota allows. There’s no artificial limit. For 10 posts, expect ~5-10 minutes of API time.
Q: Can it really schedule to Buffer automatically?
A: Yes, if you provide your Buffer API key. The skill constructs the payload and makes the API call. You can also have it just write the posts without scheduling.
Q: Is the influencer outreach GDPR-compliant?
A: The skill can include GDPR-compliant language, but you remain the data controller. Ensure you have a lawful basis for outreach and honor unsubscribe requests.
Q: Does it integrate with Google Search Console?
A: Yes. The reporting skill can fetch GSC data via the API (you provide credentials) and incorporate into the weekly dashboard.
Q: How does this compare to HubSpot?
A: HubSpot is an all-in-one SaaS with CRM, marketing automation, and analytics. Marketing Skills is a set of agent skills that execute tasks; it doesn’t replace a CRM. Think of it as a free, open-source automation layer that can connect to your existing tools.