marketing-social-media

仓库: vasilyu1983/ai-agents-public
安装量: 67
排名: #11430

安装

npx skills add https://github.com/vasilyu1983/ai-agents-public --skill marketing-social-media

This skill contains actionable, non-theoretical operational systems for sustainable social media marketing across LinkedIn, TikTok, Meta (FB/IG), YouTube, and X.

Structure: Core social media principles first. AI-specific automation in clearly labeled "Optional: AI / Automation" sections.

Scope note: For email outreach and lead generation, see marketing-leads-generation. For SEO, see marketing-seo-complete.

Core: Platform-Agnostic Principles

These principles apply regardless of platform. Master them before platform-specific tactics.

The 3 Pillars

| Audience | Who you serve, their problems, what they value | Follower quality, engagement rate

| Format | Content type optimized for platform + audience | View-through, completion, saves

| Cadence | Consistent publishing rhythm | Posting frequency, time-to-response

Audience-First Thinking

| Who specifically am I creating for? | Generic content = generic results

| What problem does this solve for them? | Value-first, not self-promotion

| Where do they spend time online? | Platform selection follows audience

| What format do they prefer? | Match format to consumption habits

Format Selection by Goal

| Awareness | Short-form video, carousels, threads | Long-form without distribution

| Engagement | Polls, questions, controversial takes | Corporate announcements

| Authority | Long-form, original research, case studies | Repurposed generic content

| Conversion | Direct CTAs, testimonials, demos | Soft branding

Cadence Guidelines

Start with a cadence you can sustain for 8–12 weeks without sacrificing quality.

| Light | 2–3 posts/week | Small teams, early consistency | Use templates + repurposing

| Standard | 4–7 posts/week | Most product teams | Mix educational + proof + community

| Heavy | Daily + community touchpoints | Media-led teams | Requires strong production pipeline

Core: Content Typology

Every post should map to one of these types. Mix types across your content calendar.

| Educational | Teach something valuable | How-to, tutorial, framework | 40-50%

| Narrative | Share stories that resonate | Personal journey, case study, behind-the-scenes | 20-30%

| Proof | Demonstrate results/credibility | Testimonial, metric, achievement | 15-20%

| Community | Engage and connect | Question, poll, reply, shoutout | 10-15%

| Promotional | Drive action | Offer, CTA, launch | 5-10% max

Do (Content Mix)

  • Plan content mix monthly, not post-by-post

  • Lead with educational; end week with proof or community

  • Test different type ratios for your audience

  • Repurpose across types (educational → narrative)

Avoid (Content Mix)

  • Mostly promotional content (looks like spam)

  • All educational (no personality, no engagement)

  • Random posting without type intention

  • Copying competitor content 1:1

Core: Engagement Quality vs Vanity Metrics

What to Track (Quality)

| Saves/bookmarks | Strong signal that content is useful

| Shares/reposts | Indicates distribution value and message resonance

| Comment quality | Depth of discussion and objections surfaced

| Profile visits | Interest in the creator/company after content

| Link clicks | Conversion path signal (only if UTMs are clean)

| Downstream conversions | Sign-ups, demos, trials, purchases from social landings

What to Ignore (Vanity)

| Follower count alone | Bots, inactive, wrong audience

| Impressions without engagement | Seen ≠ valued

| Likes without context | Easy to give, low signal

| Viral posts without conversion | Fame ≠ revenue

Do (Metrics)

  • Track engagement rate, not raw likes

  • Monitor save rate as quality signal

  • Measure conversion from social (UTMs, ask "how did you hear about us")

  • Compare metrics to your own baseline, not others

Avoid (Metrics)

  • Buying followers or engagement

  • Chasing viral at expense of relevance

  • Ignoring negative engagement signals (unfollows, hides)

  • Reporting vanity metrics to stakeholders

Core: Revenue Attribution & ROI

Transform social from cost center to revenue driver by measuring business impact.

| Social-to-Revenue | Social CAC, LTV:CAC, pipeline influence | revenue-attribution-framework.md

| Influencer ROI | CPA, ROAS, EMV, content asset value | revenue-attribution-framework.md

| Community ROI | Member LTV premium, support deflection, retention delta | revenue-attribution-framework.md

| Brand Lift | Unaided/aided awareness, consideration, preference | revenue-attribution-framework.md

Quick Implementation

  • UTM discipline: utm_source, utm_medium, utm_campaign, utm_content, utm_term on all links

  • CRM integration: Pass UTM data on conversion, tag closed deals with source

  • Cohort analysis: Compare LTV by acquisition source

  • Attribution model: Choose first-touch (awareness) or position-based (balanced)

Key Benchmarks

| Social LTV:CAC | >3:1

| Influencer ROAS | >2x (direct), >4x (with EMV)

| Community member LTV | 1.2-2x non-member

| Support deflection | 20-40%

For detailed frameworks, scorecards, and reporting templates, see references/revenue-attribution-framework.md.

Core: Social → Site → Conversion Flows

Social media is rarely the conversion point. Design the flow:

Social Post → Link/Bio → Landing Page → Conversion

OR

Social Post → DM/Comment → Conversation → Conversion

OR

Social Post → Lead Magnet → Email Nurture → Conversion

Flow Design Checklist

| Post | Does it provide standalone value? | Rewrite—no one clicks without value

| CTA | Is there one clear next action? | Simplify to single CTA

| Link/Bio | Does it match post promise? | Align messaging

| Landing | Does it load fast, mobile-first? | Optimize (see marketing-seo-complete)

| Conversion | Is friction minimized? | Reduce form fields, add trust signals

Use content-distribution-plan.md to plan search + social distribution for each piece of content.

Do (Conversion Flows)

  • Test bio link vs in-post link

  • Use UTM parameters to track social → site

  • Optimize landing page for mobile-first reading and fast load

  • Retarget engaged users who didn't convert

Avoid (Conversion Flows)

  • Generic bio links that don't change

  • No tracking on social traffic

  • Desktop-first landing pages

  • Sending cold traffic straight to purchase

Core: Community Management Basics

Response Time Standards

| Comment on your post | Same day (faster during launch windows)

| Direct message | Within 1 business day (faster for high-intent inquiries)

| Mention/tag | Within 24 hours

| Negative feedback | ASAP (same day)

Moderation Principles

| Spam/bot | Delete and block

| Constructive criticism | Thank, address publicly

| Negative but valid | Acknowledge, offer to continue privately

| Trolling/harassment | Hide/delete, block if repeated

| Questions | Answer helpfully, link to resources

Do (Community)

  • Respond to every real comment (first week especially)

  • Ask follow-up questions to drive discussion

  • Highlight community members (reshare, mention)

  • Set community guidelines for owned spaces

Avoid (Community)

  • Ignoring comments (signals you don't care)

  • Deleting all criticism (looks like hiding)

  • Generic copy-paste responses

  • Letting trolls derail conversations

Platform-Specific Constraints (January 2026)

| LinkedIn | B2B, thought leadership | Text posts, carousels, native video | Depth Score (dwell time), employee reshares 561% further reach

| X (Twitter) | News, opinions, real-time | Short posts, threads, quotes | Fast feed, context collapse, short half-life

| TikTok | Discovery, social commerce | Vertical video, TikTok Shop | 70%+ completion for virality, 60-180s optimal

| Instagram | Visual storytelling | Reels, carousels, stories | "Your Algorithm" user controls, Trial Reels testing

| YouTube | Evergreen + search | Long-form + Shorts + Shopping | Production effort, retention focus

| Reddit | B2B, tech, authentic discussion | Text posts, AMAs, community participation | 6th most visited site, AI search visibility, authentic voice required

| Threads | Real-time conversation | Short posts, threads | 400M MAU trajectory, Meta integration with IG

For detailed platform-specific guidance, see:

Use this skill when the user asks for:

  • content ideas, calendars, scripts, hooks

  • ad creative templates

  • growth frameworks

  • optimization workflows

  • paid social setup and scaling

  • copywriting requests

  • community management

  • performance audits

  • revenue attribution and ROI measurement

  • influencer program ROI

  • community value calculation

  • brand lift studies

Decision Trees

Paid Social: Low CTR → Refresh hook/creative | Clicks ok, CVR low → Fix landing page | Costs rising → Refresh creative
Organic: Inconsistent → Set sustainable cadence | Low engagement → Improve value density | Low clicks → Strengthen CTA
Community: Spam rising → Enforce guidelines | Low retention → Add rituals | Negative sentiment → Acknowledge publicly

References (Deep Dives)

| Revenue & ROI | revenue-attribution-framework.md — Attribution, influencer/community ROI, brand lift

| Platform Strategy | linkedin-engagement-patterns.md, tiktok-best-practices.md, instagram-best-practices.md, youtube-best-practices.md, reddit-marketing-strategy.md

| Paid Social | paid-social-patterns.md, influencer-ops-and-partnerships.md

| Community | community-building-patterns.md

| Operations | operational-patterns.md, lead-systems-and-pipelines.md

| AI (Optional) | ai-marketing-patterns.md, ai-marketing-governance.md

Templates

| Ads | assets/ads/ — Google RSA, Meta, TikTok, YouTube

| Email | assets/email/ — Cold, nurture, newsletter, sales

| Social | assets/social/ — Calendars, hooks, carousels, scripts

| Offers | assets/offers/ — Offer builder, value stack, guarantees

| Community | assets/community/ — Strategy, guidelines, events, moderation

| SEO | assets/seo/ — Briefs, outlines, keyword research

External Resources

See data/sources.json for official documentation across Google Ads, Meta, TikTok, YouTube, and platform analytics (automation sources are tagged optional).

Optional: AI / Automation

Note: Core social media fundamentals above work without AI tools. This section covers optional automation capabilities.

Scheduling & Publishing

| Buffer | All major | Simple scheduling, analytics

| Hootsuite | All major | Enterprise, team collaboration

| Later | IG, TikTok, Pinterest | Visual planning, link-in-bio

| Sprout Social | All major | Enterprise, CRM integration

| Native schedulers | Platform-specific | Best reach (some algorithms favor native)

AI Content Assistance

| Ideation | ChatGPT, Claude | Starting point only—add human insight

| Hook generation | LLM prompts | A/B test AI vs human hooks

| Repurposing | Opus Clip, Descript | Video → clips, long → short

| Image generation | Midjourney, DALL-E | Check platform policies on AI content

| Caption writing | LLM prompts | Always edit for brand voice

Moderation & Monitoring

| Comment moderation | Meta AI, Sprinklr | Filter spam, flag issues

| Brand monitoring | Mention, Brand24 | Track mentions across platforms

| Sentiment analysis | Sprout, Brandwatch | Aggregate sentiment trends

Do (AI/Automation)

  • Use scheduling to maintain consistency when you can't post live

  • Test AI-generated hooks/captions against human-written

  • Automate monitoring, not engagement (replies should be human)

  • Label AI-generated content where required by platform

Avoid (AI/Automation)

  • Full automation of replies/DMs (obvious, damages trust)

  • AI content without human review (brand voice, factual accuracy)

  • Over-relying on AI ideation (becomes generic)

  • Ignoring platform policies on AI content disclosure

See references/ai-marketing-governance.md for AI governance framework.

Collaboration Notes

With Product

  • Launch coordination: Social amplification for product launches

  • Feature education: Tutorial content for new features

  • User feedback: Social comments/DMs = product insights

  • Community features: Product roadmap for community needs

With Sales

  • Social selling support: Content for sales team to share

  • Lead alerts: DMs and comments with buying signals → Sales

  • Case studies: Sales wins → Social proof content

  • Event promotion: Webinars, demos, conferences

With Engineering

  • Social embeds: Share buttons, social proof widgets

  • API integrations: CRM sync, lead capture from social

  • Analytics setup: UTM handling, conversion tracking

  • Page performance: Social traffic = mobile traffic = fast pages

With Design

  • Visual templates: Consistent brand assets across platforms

  • Video production: Reels, TikToks, YouTube Shorts

  • Carousel design: LinkedIn, Instagram carousel templates

  • UGC guidelines: Brand guidelines for community content

Trend Awareness Protocol

IMPORTANT: When users ask recommendation questions about social media marketing, you MUST use WebSearch to check current trends before answering.

Trigger Conditions

  • "What's the best social media strategy for 2026?"

  • "What should I focus on for [LinkedIn/TikTok/Instagram]?"

  • "What's trending on [platform]?"

  • "Current best practices for [Reels/Shorts/Stories]?"

  • "Is [platform/format] still relevant in 2026?"

  • "How has the [LinkedIn/TikTok/Instagram] algorithm changed?"

  • "What content format works best on [platform]?"

Required Searches

  • Search: "social media marketing trends 2026"

  • Search: "[LinkedIn/TikTok/Instagram] algorithm 2026"

  • Search: "[platform] best practices January 2026"

  • Search: "social media engagement trends 2026"

What to Report

After searching, provide:

  • Current landscape: What platforms/formats work NOW

  • Emerging trends: New features or platforms gaining traction

  • Deprecated/declining: Strategies or formats losing effectiveness

  • Recommendation: Based on fresh data, not just static knowledge

  • Platform algorithm changes (LinkedIn, TikTok, Instagram, X)

  • New content formats (Threads, Notes, Shorts features)

  • Creator economy trends and monetization

  • AI content creation tools for social

  • Community features and engagement patterns

  • Cross-platform posting best practices

Anti-Patterns

| Post and ghost | No feedback loop; weak trust | Set a response SLA and seed discussion

| Same content everywhere | Ignores platform culture | Adapt format and tone per platform

| Chasing followers | Vanity metric, often wrong audience | Focus on engagement rate, conversions

| Inconsistent posting | Breaks continuity and learnings | Batch content, reuse templates, schedule

| All promotional | Audience tunes out | Make promotion the minority; lead with value

| Ignoring analytics | Can't improve what you don't measure | Weekly metric review, monthly deep dive

| Copying competitors | No differentiation, always behind | Study competitors, create unique angle

| Buying engagement | Platform detection, fake audience | Build organic, slower but real

| No conversion path | Social activity without business results | Clear CTA, tracked links, landing pages

| Platform dependency | Distribution risk | Build owned channels (email, community) and retargeting

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