# Ai Content Creation > >- - **Type:** Skill - **Install:** `agentstack add skill-leadmagic-gtm-skills-ai-content-creation` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [LeadMagic](https://agentstack.voostack.com/s/leadmagic) - **Installs:** 0 - **Category:** [Communication](https://agentstack.voostack.com/c/communication) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [LeadMagic](https://github.com/LeadMagic) - **Source:** https://github.com/LeadMagic/gtm-skills/tree/main/skills/creative/ai-content-creation - **Website:** https://github.com/LeadMagic/gtm-skills ## Install ```sh agentstack add skill-leadmagic-gtm-skills-ai-content-creation ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # AI Content Creation ## Overview AI writes. Humans edit. Together, they produce 5-10x more content than either alone. The mistake: asking AI to "write a blog post about X" and publishing the output. That produces AI slop. The fix: a structured workflow where AI generates research, outlines, and first drafts — and humans inject unique insight, experience, and voice. This skill covers step-by-step AI content workflows for every format: blog posts, social, email, ads, landing pages, and SEO content. ## Authoritative Foundations - **Justin Welsh — Content Operating System (repurposing lattice)** — Content Operating System (repurposing lattice) - **Harry Dry (Marketing Examples) — Show, don't tell** — Show, don't tell - **Amanda Natividad (SparkToro) — Zero-click content** — Zero-click content - **Ross Simmonds — Content distribution at scale** — Content distribution at scale - **Nail Rodriguez — Conversion copywriting** — Conversion copywriting ## When to Use Trigger phrases: "AI content creation", "ChatGPT for blog writing", "AI copywriting", "Claude content workflow", "scale content with AI", "AI email writing", "AI social media content", "Jasper vs ChatGPT", "AI blog post workflow" ## The AI Content Stack | Tool | Best For | Cost | Quality | |---|---|---|---| | **Claude 4 (Opus)** | Long-form, strategy, technical | $20/mo | Exceptional — best for B2B long-form | | **ChatGPT 4o** | Short-form, creative, variants | $20/mo | Excellent — best for hooks and variants | | **Perplexity** | Research, data gathering, fact-checking | Free-$20/mo | Research-grade with citations | | **Jasper** | Enterprise content teams, brand voice | $49-125/mo | Good with brand voice training | | **Copy.ai** | Sales copy, email, social | $36/mo | Good for short-form templates | | **Writesonic** | SEO content, blog posts | $16/mo | Decent for SEO-first content | ## The Master Workflow (All-Format) ### Phase 1: Research & Outline (AI-Assisted) ``` STEP 1 — Topic Research (Perplexity / Claude with Search): "Research the current state of [topic] in [industry]. Find: - Top 5 recent articles/posts on this topic - Key statistics (with sources) - Common opinions and contrarian takes - What's missing from existing coverage" STEP 2 — Outline (Claude): "Create a detailed outline for a [format] about [topic]. Audience: [ICP]. The piece should answer: [specific question]. Include: [sections/elements specific to format]. Avoid: [things you DON'T want — AI slop, generic advice, etc.]" STEP 3 — Unique Angle Injection (Human): Add to the outline: - Your unique data/experience - Specific customer examples - Contrarian or original opinions - Frameworks you've developed ``` ### Phase 2: Drafting (AI First Draft) ``` STEP 4 — First Draft (Claude): "Write a [format] based on this outline. [paste outline]. Voice: [paste brand voice guide]. Rules: - Short sentences. Under 25 words. - Active voice. No passive constructions. - Specific over generic. '47% reply rate' not 'industry-leading engagement' - Show, don't tell. Every claim with evidence. - No: 'In current world...' 'We're excited to announce...' - Include: [specific data, examples, frameworks from outline]" ``` ### Phase 3: Human Edit (Where Quality Happens) **The 4-pass edit:** | Pass | Focus | Time | |---|---|---| | **Pass 1: Substance** | Are claims true? Are examples real? Is the data correct? | 10 min | | **Pass 2: Structure** | Does the argument flow? Is anything missing or redundant? | 10 min | | **Pass 3: Voice** | Does it sound like us? Cut AI-isms: "delve," "unlock," "revolutionize" | 10 min | | **Pass 4: Polish** | Typos, grammar, links, CTAs, formatting | 5 min | **AI-isms to delete (common ChatGPT/Claude tells):** - "In current digital landscape..." - "Unlock the power of..." - "Delve into..." - "It's important to note that..." - "Furthermore..." / "Moreover..." / "Additionally..." - "In conclusion..." - "Revolutionary," "high-impact," "advanced" - Overuse of em-dashes and semicolons - Every sentence the same length (AI loves ~20-word sentences) ### Phase 4: Variants and Optimization **Generate variants for testing (ChatGPT is best for this):** ``` "Here is our [blog post / email / ad]. Generate 5 variants of: 1. The headline only 2. The opening paragraph/hook 3. The CTA Make each variant significantly different. Test different angles: - Benefit-focused: '[Get Outcome]' - Curiosity: '[Question they want answered]' - Social proof: 'How [Company] achieved [Result]' - Contrarian: 'Why [common belief] is wrong' - Urgency: 'Stop [pain] before [consequence]'" ``` ## Format-Specific Workflows ### Blog Post (2,000 words — 2 hours total) ``` HOUR 1 — AI-Assisted: - Perplexity: Research topic, collect stats, find sources (15 min) - Claude: Generate outline from research + unique angle (10 min) - Claude: Write first draft from outline (15 min) - Claude: Generate 5 headline variants (5 min) - Human: 4-pass edit (15 min) HOUR 2 — Production: - Claude: Generate meta description, social descriptions (5 min) - Canva/Midjourney: Hero image + in-post graphics (20 min) - WordPress/Webflow: Format, add images, internal links (20 min) - Claude: Generate 5 social post variants for promotion (5 min) - Schedule social posts (10 min) ``` ### LinkedIn Post (200 words — 30 min) ``` CLAUDE PROMPT: "Write a LinkedIn post about [topic]. Structure: - Hook (line 1): bold claim or surprising stat - Body (4-6 short paragraphs): one idea per paragraph. White space between. - CTA: question that invites comments Rules: - Single idea. Not 3 ideas. - First line must stop the scroll. Test with: 'Would you stop scrolling?' - Every paragraph 1-2 sentences max. - No hashtags at end (put 3-5 relevant hashtags in a comment) - No 'I'm excited to share' — just share the thing - Write at 8th grade reading level Voice: [paste brand voice] ICP: [describe audience]" ``` ### Email Sequence (3 emails — 1 hour) ``` CLAUDE PROMPT: "Write a 3-email nurture sequence for [lead magnet or trigger]. EMAIL 1 — Delivery (immediate): - Deliver the promised resource - One insight from it - What to do next EMAIL 2 — Value (Day 3): - One specific tip related to the resource - How a customer used this to achieve [result] - Link to related content EMAIL 3 — Product Bridge (Day 7): - The problem the resource helps with - Why manual/current solutions fail - How our product automates/solves this - CTA: start trial / book demo Rules: - Subject lines under 50 chars. Preview text under 100 chars. - Each email: one CTA. Not three. - Plain text feel. No heavy HTML. - From: [real person name] not 'The [Company] Team' - 150-250 words per email" ``` ### Ad Copy (5 variants — 30 min) ``` CLAUDE PROMPT: "Write 5 LinkedIn ad variants for [offer/product]. Each variant: - Headline (under 150 chars) - Body (under 300 chars) - CTA (under 20 chars) Variants should test: 1. Pain-focused: problem → solution 2. Outcome-focused: what they'll achieve 3. Social proof: 'Join X teams using [product]' 4. Curiosity: a question they haven't considered 5. Direct offer: 'Try [product] free for 14 days' Audience: [ICP] Key benefit: [primary value prop] URL: [landing page]" Then (human): review. Pick 2-3. Launch. Kill underperformers at 48 hours. ``` ### SEO Content (Pillar Page — 3 hours) ``` HOUR 1 — Research: - Ahrefs/Semrush: Identify target keyword + 10 related keywords - Perplexity: Research competitor content for this keyword - Claude: "Analyze the top 5 ranking pages for [keyword]. What do they cover? What's missing? What can we do better?" HOUR 2 — Draft: - Claude: "Write a comprehensive pillar page targeting [keyword]. Include: [outline from research]. Target 3,000 words. Use related keywords naturally: [list]." - Claude: Generate meta title, meta description, H1, URL slug HOUR 3 — Optimize: - SurferSEO/Clearscope: Optimize for keyword density, LSI keywords - Add internal links to related content - Add external links to authoritative sources - Add CTAs (lead magnet, trial, demo) at natural break points ``` ## Output Format ``` AI CONTENT BRIEF — [Title/Topic] Format: [blog / social / email / ad / landing page] Target keyword (if SEO): [keyword] Audience: [ICP] Goal: [signup, demo, share, purchase] AI Tools Used: [Claude / ChatGPT / Perplexity / etc.] OUTLINE: [Sections with key points] FIRST DRAFT: [Paste AI output] HUMAN EDITS: - Pass 1 (substance): [changes made] - Pass 2 (structure): [changes] - Pass 3 (voice): [changes] - Pass 4 (polish): [changes] FINAL: [link or paste] VARIANTS (for testing): 1. [Headline variant 1] 2. [Headline variant 2] 3. [Headline variant 3] ``` ## Implementation Checklist - [ ] Research phase completed before drafting (don't ask AI to write blind) - [ ] Outline includes unique human insight (not just AI summary of existing content) - [ ] 4-pass human edit completed (substance, structure, voice, polish) - [ ] AI-isms deleted ("delve," "unlock," "furthermore," "in conclusion") - [ ] Every claim has evidence or source (statistics, customer quotes, data) - [ ] Voice matches brand guidelines (paste them into every content prompt) - [ ] Headlines are specific, not clever ("47% more replies" > "Unlock email potential") - [ ] SEO: target keyword in title, H1, first 100 words, meta description ## Quality Check Before delivering, verify: - [ ] Output matches the user's stated request - [ ] Named frameworks or sources are reflected in the recommendation - [ ] The deliverable is specific enough for an agent to execute - [ ] Any assumptions, risks, or dependencies are explicit - [ ] No unsupported claims, invented facts, or private/internal references are included ## Common Pitfalls 1. **Publish AI output without editing.** Raw AI output = generic, detectable, low-trust content. Fix: 4-pass human edit. AI writes drafts. Humans make them good. 2. **No unique angle.** AI can only summarize what's already been written. If you don't inject unique data, experience, or opinion, your content is a remix of page 1 results. Fix: Unique angle first. AI draft second. 3. **"Write a blog post about X" (one-shot).** One-shot prompts produce generic, meandering content with no structure. Fix: Research → outline → draft → edit. AI assists each step. It doesn't replace any. 4. **Not including brand voice in prompts.** Every AI output without brand context sounds the same. Fix: Paste voice guide into every prompt. Better: build a custom GPT with your brand voice trained in. 5. **Hallucinated statistics.** "According to a recent study..." with no source. Fix: Perplexity for research. Every stat needs a citation. Human verifies before publishing. 6. **AI-generated images without review.** Midjourney produces beautiful nonsense. "Data visualization" with made-up numbers. Charts with impossible scales. Fix: Review every AI image for accuracy. ## Execution Artifacts - `references/framework-notes.md` — Named frameworks and reference tables - `templates/output-template.md` — Deliverable shell for agent output - `scripts/check-output.py` — Lightweight deliverable validator ## Related Skills - `vibe-marketing` — Full AI marketing stack and workflow - `copywriting` — Marketing copy fundamentals and frameworks - `blog-writing` — Blog post structure and SEO - `social-media-strategy` — Per-platform content and cadence - `ad-creative-strategy` — Creative formats, testing methodology - `seo-content-strategy` — Keyword research, content clusters - `vibe-coding` — AI dev tools for building GTM assets ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [LeadMagic](https://github.com/LeadMagic) - **Source:** [LeadMagic/gtm-skills](https://github.com/LeadMagic/gtm-skills) - **License:** MIT - **Homepage:** https://github.com/LeadMagic/gtm-skills Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-leadmagic-gtm-skills-ai-content-creation - Seller: https://agentstack.voostack.com/s/leadmagic - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.