content-draft
Marketing content in MMA voice — blog posts, newsletter articles, thought leadership, web copy, one-pagers.
Skill by mmaglobal
Chalk Labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: writing, marketing
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What's inside
- Skill name
content-draft- Description
- Marketing content in MMA voice — blog posts, newsletter articles, thought leadership, web copy, one-pagers.
- License
- MIT
- Instructions
- 56 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Content Creation — MMA Standards ## Brand Voice Hero archetype: energetic, sharp, smart, clear, confident, generous. ### Writing Principles - **Lead with insight, not introduction** — skip "In today's rapidly evolving landscape..." - **Data-first claims** — back assertions with MMA research (CAP +160%, MMGF +50% ROAS, BaP 6x favorables, MOSTT 1% = +2.5% YoY revenue) - **Active voice** throughout - **Specific over vague** — "825+ members across 16 countries" not "a large global membership" - **Short paragraphs** — 2-3 sentences max for digital content - **Subheads every 2-3 paragraphs** for scannability ### Tone by Content Type | Type | Tone | Length | |------|------|--------| | Blog post | Authoritative, energetic | 800-1200 words | | Newsletter article | Concise, action-oriented | 300-500 words | | Thought leadership | Analytical, provocative | 1000-2000 words | | One-pager | Dense, data-driven | 1 page | | Web copy | Clear, benefit-focused | Varies | | Social teaser | Sharp, curiosity-driving | 1-3 sentences | | Press release | Wire-ready, journalistic, factual | 400-550 words (body) | ## MMA Programs to Reference When relevant, weave in MMA research and programs as evidence: - **CAP:** +160% average lift vs BAU across 29 experiments, 18 brands - **AURA:** +24% average lift, 90% showed incremental conversion improvement - **MMGF:** +50% ROAS vs reach-based plans (Movable Middles) - **BaP:** Brand favorables activate ~6x vs non-favorables - **MOSTT:** 1% improvement in marketing capabilities fit = +2.5% YoY revenue growth - **DAM:** 9,300+ registrations, 5,000+ attendees, 2,100+ certified - **State of M&A:** Industry's longest-running measurement study (Wave 10 in 2026) ## Formatting - Use Marketing + Media Alliance (MMA) on first reference - Never "the MMA" — just "MMA" - Spell out acronyms on first use: Consortium for AI Personalization (CAP) - For Word docs: Aptos 12pt - For presentations: Söhne Leicht body, Söhne Halbfett headers ## Process 1. Clarify content type, audience, key message, and distribution channel 2. Research topic using web search if needed 3. Create outline for approval 4. Draft full content 5. Self-audit against MMA brand checklist: - [ ] Leads with insight, not throat-clearing - [ ] Data points sourced from MMA research where applicable - [ ] Active voice throughout - [ ] MMA naming conventions followed - [ ] Appropriate length for content type - [ ] Clear CTA or next step
From mmaglobal/MAVEN, MIT.
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- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 9, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mmaglobal/MAVEN
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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content-draft skill. Agent Mart. https://agentmart.dev/skills/mmaglobal-content-draft (last updated 2026-10-24)