Webinar Strategy logo

Webinar Strategy

Organization
LeadMagic
webinar-strategy

Plans demand-gen webinars: topic selection, speaker sourcing, promotion cadence, run-of-show, and post-event follow-up sequences. Use when the user is planning a single webinar or a webinar series intended to generate pipeline. Triggers on: "webinar", "webinar strategy", "virtual event", "demand gen webinar", "webinar promotion".

Overview

PublisherLeadMagic
Repositorygtm-skills
Skill namewebinar-strategy
Stars
72
Forks
18
Bundled files
4
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.

  • 4 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 Webinar 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/demand-gen/webinar-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/demand-gen/webinar-strategy .claude/skills/webinar-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Webinar 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 Webinar 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 Webinar 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.

Webinar Strategy

Overview

Webinars remain one of the highest-converting demand gen channels in B2B when done with a "commercial teaching" angle — not product demos disguised as content. This skill covers topic selection, speaker sourcing, promotion architecture, and post-webinar pipeline conversion.

Authoritative Foundations

  • Gartner (CEB) — The Challenger Sale — Teach-tailor-take control — build the webinar around a commercial insight that reframes the buyer's problem.
  • Forrester (SiriusDecisions) — Demand Waterfall — Stage attendees from inquiry to MQL and SAL with explicit follow-up SLAs.
  • ON24 — Webinar benchmarks — Plan promotion timing, session length, and engagement tools against published webinar benchmark data.

When to Use

  • "Plan a webinar"
  • "Build webinar strategy"
  • "Launch a webinar series"
  • "Webinar demand gen"

Step-by-Step Process

Phase 1: Topic Selection

Use the Challenger Sale "commercial teaching" framework:

  • Teach something counterintuitive: "Why your pipeline forecast is lying to you"
  • Frame the problem differently: "The 3 attribution mistakes costing you 40% of pipeline"
  • Lead to your unique solution: Position your methodology, not your product

Valid topics pass three tests:

  1. Does it challenge a widely-held assumption in the ICP's world?
  2. Would a prospect forward this to their boss?
  3. Does it naturally lead to a conversation about the problem your product solves?

Phase 2: Speaker Sourcing

  • Internal expert: Your best thinker, not your best presenter
  • Customer speaker: The customer's story, in their words, with their results. This is 10x more credible than your case study.
  • Industry analyst/partner: Third-party credibility and shared audience
  • Never: Panel of 5 people with 6 minutes each — the worst format

Phase 3: Promotion Architecture (21-Day Build)

  • Day 21: Registration page live, organic social tease
  • Day 14: Email blast 1 to house list (segmented by webinar relevance)
  • Day 10: Speaker social posts, LinkedIn event page
  • Day 7: Email blast 2 (different angle, "what you'll learn")
  • Day 5: LinkedIn ads to lookalike audience, partner cross-promotion
  • Day 3: Email blast 3 ("last chance"), DM outreach to high-value targets
  • Day 1: Reminder email with calendar link

Phase 4: Production Quality

  • 45 minutes max (30 mins content + 15 mins Q&A)
  • Slides: minimal text, one idea per slide, visual-heavy
  • Live demo only if it's a product webinar (different play)
  • Recorded backup for any live demo components
  • Moderator separate from presenter (manages Q&A, tech issues)

Phase 5: Post-Webinar Pipeline

  • Hour 0: Thank-you email with recording + slide deck
  • Day 1: "Missed the Q&A?" email with written answers to the best questions
  • Day 3: Attendee segmentation: hot (asked questions, stayed full time) vs warm
  • Day 3-5: SDR call blitz on hot attendees while the content is fresh
  • Day 7: Non-attendee follow-up: "Here's what you missed" with key insights
  • Day 14: On-demand nurture: repurpose into blog, social clips, podcast

Output Format

Webinar plan with: topic validation, speaker brief, 21-day promotion calendar, production run-of-show, and post-webinar pipeline sequence.

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. Webinar as product demo. Prospects attend for insights, not a sales pitch. Fix: 80% educational content, 20% product mention. Lead with counterintuitive insights.
  2. One-and-done syndication. Publishing once and moving on. Fix: one pillar piece → 15+ derivatives across channels over 30 days.
  3. Measuring paid social on clicks. Clicks and CPL don't equal pipeline. Fix: track pipeline generated and cost per opportunity from each channel.

Execution Artifacts

  • references/framework-notes.md — Challenger teaching, TOPO promotion, Walker measurement, Pattern 26 routing
  • templates/output-template.md — 21-day calendar, run-of-show, post-event pipeline sequence
  • scripts/check-output.py — Lightweight deliverable validator
  • references/chris-walker-mental-models.md — Repo root: ungated education, 90-day program eval
  • the using-gtm-skills skill — Pattern 26: Demand Creation

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:

  • TOPO Webinar Framework: apply only the part that directly improves the requested deliverable.
  • CEB Challenger Commercial Teaching: apply only the part that directly improves the requested deliverable.
  • SiriusDecisions — Demand Waterfall: 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.

Related Skills

  • content-marketing, social-media-strategy, inbound-triage, pipeline-management, sales-enablement

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 Webinar Strategy AI skill do?

Plans demand-gen webinars: topic selection, speaker sourcing, promotion cadence, run-of-show, and post-event follow-up sequences. Use when the user is planning a single webinar or a webinar series intended to generate pipeline. Triggers on: "webinar", "webinar strategy", "virtual event", "demand gen webinar", "webinar promotion".

Why use Webinar Strategy on TypingMind?

Because you install it once and use it with any model. Webinar 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 Webinar Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeadMagic/gtm-skills/tree/main/skills/demand-gen/webinar-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 Webinar 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 Webinar Strategy?

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

Is the Webinar 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇