Social Media Strategy logo

Social Media Strategy

Organization
LeadMagic
social-media-strategy

Build and execute social media strategy for B2B — LinkedIn, X/Twitter, posting cadence, engagement tactics, content formats, sizing guides, and platform-specific best practices. Use when building social presence, planning content, or optimizing engagement. Triggers on: "social media", "LinkedIn strategy", "Twitter strategy", "X strategy", "posting guide", "social content", "engagement", "content calendar", "image sizes", "social graphics", or any social media planning request.

Overview

PublisherLeadMagic
Repositorygtm-skills
Skill namesocial-media-strategy
Stars
72
Forks
18
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by LeadMagic on GitHub. Read the source before you install it.

Installation

Install the Social Media Strategy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/LeadMagic/gtm-skills/tree/main/skills/creative/social-media-strategy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/LeadMagic/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/creative/social-media-strategy .claude/skills/social-media-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Social Media Strategy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Social Media Strategy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Social Media Strategy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Social Media Strategy

Overview

Social media for B2B is not about going viral — it's about being the first person your ICP thinks of when they have a problem. Every post should build trust, demonstrate expertise, or start a conversation. This skill covers platform-specific strategy, content formats, sizing guides, and engagement tactics for LinkedIn (primary B2B channel) and X/Twitter (secondary).

When to Use

  • "Build a social media strategy"
  • "Plan LinkedIn content"
  • "What should I post?"
  • "Social media image sizes"
  • "Increase engagement on LinkedIn"
  • "Content calendar for social"

Authoritative Foundations

  • Charlie Hills — social media strategy frameworks for B2B. Multi-channel content distribution. Personal brand as growth lever.
  • Brendan Gahan — creator economy and social engagement. Community over audience.
  • Richard van der Blom (Just Connecting) — Algorithm Insights Report — rewards: dwell time + completion rate, comment threads (especially author replies), saves, native documents (carousels). Punishes: external links in post body, hashtag stuffing (posts without hashtags now outperform by 5-10%), 5+ person tags, over-posting (>1/day), AI-sounding text. Full data and format rankings → linkedin-algorithm.
  • Jessie Lizak (Reveting) — weekly LinkedIn Live as anchor content; repurpose into clips, carousels, and feed posts. → linkedin-live-strategy.

Step-by-Step Process

Phase 1: Platform Selection

PlatformBest ForPost CadenceContent Types
LinkedInB2B thought leadership, trust-building3-5x/weekText posts, carousels, polls, video
X/TwitterReal-time commentary, community1-3x/dayThreads, short posts, replies
YouTubeLong-form education, demos1-2x/weekTutorials, interviews, case studies
TikTok/ReelsBrand awareness, younger audience3-5x/weekShort-form video, trends

Phase 2: LinkedIn Content Strategy

Content mix: 40% insights from your work, 30% reactions to industry news, 20% personal stories/lessons, 10% promotion. Never: 100% company content. Best formats per van der Blom's 2026 data: document carousels (top reach ~1.39x and engagement ~6.6%), image + text (volume workhorse), short sharp text posts (under 600 characters trending up). See linkedin-algorithm for the full ranking.

Posting time: Tuesday-Thursday, 8-10am or 12-1pm local time. Test what works for your audience.

Phase 3: Social Media Sizing Guide

LinkedIn:

  • Profile photo: 400x400px
  • Banner: 1584x396px
  • Post image: 1200x627px (single), 1080x1080px (square)
  • Carousel document: 1080x1080px per slide
  • Video: 1080p, under 10 min

X/Twitter:

  • Profile photo: 400x400px
  • Header: 1500x500px
  • In-stream image: 1200x675px (16:9)
  • Video: 1080p, under 2:20

Phase 4: Engagement Tactics

Comment on 5-10 ICP-relevant posts before posting your own. Reply to every comment within 1 hour. DM people who engage consistently. Build relationships in DMs, not just public posts.

Output Format

Social media strategy with platform mix, content calendar (weekly), sizing cheat sheet, engagement playbook, and 30-day posting plan.

Quality Check

Before delivering, verify:

  • All required sections are complete
  • Output matches the user's stated need
  • Named frameworks are cited for key recommendations
  • No vague claims — every recommendation has a specific action
  • Deliverable is ready for operational use, not just conceptual

Common Pitfalls

  1. Company page as primary — people follow people, not companies. Founder and employee profiles outperform company pages 10:1.
  2. Links in LinkedIn posts — algorithm severely deprioritizes external links. Put links in comments or "link in bio."
  3. Inconsistent posting — posting 5x one week then nothing for 3 weeks kills momentum. Consistency > frequency.
  4. Broadcasting, not engaging — posting without commenting on others' content is talking to an empty room.

Implementation Depth

Use this section when the user asks for a finished asset, not a high-level explanation.

Diagnostic Questions

  1. What is the primary motion: founder-led, sales-led, product-led, partner-led, or lifecycle-led?
  2. Which ICP tier is the output for: small business, mid-market, enterprise, or mixed?
  3. What proof is available today: customer stories, usage data, third-party validation, screenshots, or none?
  4. What system will execute the work: CRM, sequencer, warehouse, support desk, product analytics, or manual workflow?
  5. What decision will the user make from this output: launch, prioritize, route, rewrite, score, coach, or measure?

Framework Application

Map the recommendation explicitly to the named frameworks in this skill:

  • Charlie Hills Social Media: apply only the part that directly improves the requested deliverable.
  • Brendan Gahan Creator Economy: apply only the part that directly improves the requested deliverable.
  • Richard van der Blom — Algorithm Insights Report: apply only the part that directly improves the requested deliverable.

Deliverable Standard

A strong output from this skill includes:

  • A crisp diagnosis of the current situation
  • A recommended path with tradeoffs, not a generic list
  • A concrete artifact the user can use immediately: table, script, checklist, scorecard, sequence, dashboard spec, or implementation plan
  • A measurement plan with leading and lagging indicators
  • Risks and edge cases called out before execution

Adaptation Rules

  • For small business: reduce complexity, shorten time-to-value, and prioritize owner/operator clarity.
  • For mid-market: include workflow ownership, handoffs, integrations, and enablement assets.
  • For enterprise: include governance, risk, procurement, stakeholder mapping, and proof requirements.

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

  • linkedin-algorithm: LinkedIn reach mechanics (van der Blom report data)
  • founder-brand: Personal brand strategy for founders (Adam Robinson playbook)
  • social-selling: LinkedIn for prospecting and sales
  • copywriting: Social media copy frameworks
  • graphic-design-gtm: Visual asset creation for social

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Social Media Strategy AI skill do?

Build and execute social media strategy for B2B — LinkedIn, X/Twitter, posting cadence, engagement tactics, content formats, sizing guides, and platform-specific best practices. Use when building social presence, planning content, or optimizing engagement. Triggers on: "social media", "LinkedIn strategy", "Twitter strategy", "X strategy", "posting guide", "social content", "engagement", "content calendar", "image sizes", "social graphics", or any social media planning request.

Why use Social Media Strategy on TypingMind?

Because you install it once and use it with any model. Social Media Strategy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Social Media Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeadMagic/gtm-skills/tree/main/skills/creative/social-media-strategy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Social Media Strategy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Social Media Strategy?

As many as you like. As long as a model supports skills, you can use Social Media Strategy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Social Media Strategy AI skill free?

Yes. It is published on GitHub by LeadMagic under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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