Event Driven Outreach logo

Event Driven Outreach

Organization
LeadMagic
event-driven-outreach

Builds outbound sequences around conference and event attendance: pre-event research and meeting booking, on-site plays, and post-event follow-up. Use when the user is prospecting around a specific conference or trade show, or needs an event follow-up sequence. Triggers on: "event outreach", "conference prospecting", "trade show follow-up", "event outbound".

Overview

PublisherLeadMagic
Repositorygtm-skills
Skill nameevent-driven-outreach
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 Event Driven Outreach 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/events/event-driven-outreach
  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/events/event-driven-outreach .claude/skills/event-driven-outreach
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Event Driven Outreach 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 Event Driven Outreach 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 Event Driven Outreach 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.

Event-Driven Outreach

Overview

Conferences and events are concentrated buying intent — attendees have budget, are actively evaluating, and are reachable in a compressed time window. This skill covers the pre-event, on-site, and post-event outbound motion.

Authoritative Foundations

  • Josh Braun — Relevance-first outreach — Lead with the specific event context and a low-pressure question; skip the generic 'will you be at the booth?' pitch.
  • Winning by Design — SPICED — Discovery framework — Situation, Pain, Impact, Critical Event, Decision; use it to qualify event conversations before handoff.
  • Forrester (SiriusDecisions) — Demand Waterfall — Tag event-sourced and event-influenced leads so follow-up conversion is measured by stage.

When to Use

  • "Outreach around [conference]"
  • "Conference prospecting"
  • "Event follow-up sequence"
  • "Trade show outbound play"

Step-by-Step Process

Phase 1: Pre-Event (2-3 weeks before)

  • Attendee list sourcing: Scrape attendee lists, speaker lists, sponsor lists, LinkedIn event RSVPs, hashtag engagers
  • Account research: For each target, determine: are they speaking? sponsoring? attending? Which sessions are relevant?
  • Pre-event outreach: "Saw you're attending [Event]. I'll be there too — would love to grab 15 minutes to share what we're seeing in [their domain]." This books meetings before you arrive.
  • Speaker outreach: "Your talk on [topic] at [Event] — quick question." Speakers are flattered by pre-event engagement.

Phase 2: On-Site (During the event)

  • Real-time engagement: Monitor event hashtag. Engage with prospect posts.
  • Session targeting: Attend sessions your prospects attend. Sit near them. Ask good questions during Q&A (with your name + company intro).
  • Expo hall: If exhibiting, qualify booth visitors fast. Badge scan + 1-question qualifier + "I'll follow up with [specific thing]."
  • Evening events: Happy hours, dinners, after-parties. Best networking happens outside the conference center.

Phase 3: Post-Event (1-7 days after)

Day 1: "Great meeting you at [Event]" — personalized, reference your conversation. Day 2-3: LinkedIn connection + "Enjoyed [specific conversation topic] at [Event]" Day 5-7: Value-add follow-up: "Following up on our conversation about [topic], here's [specific resource/data]"

Phase 4: Non-Attendee Outreach

"I wasn't at [Event] but I noticed [topic] was big. Teams I work with are seeing [related trend]." You can reference conference themes without having attended.

Phase 5: ROI Measurement

Track: meetings booked from event outreach, pipeline created, deals closed. Cost per meeting = (event cost + outreach time) / meetings booked. This lets you compare events objectively — kill the ones that don't convert.

Output Format

Event outreach playbook with: attendee sourcing method, pre-event sequence, on-site playbook, post-event templates, and ROI measurement framework.

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. No pre-event outreach. Showing up to a conference without booked meetings wastes the investment. Fix: scrape attendee lists, research targets, and book meetings 2-3 weeks before.
  2. Booth staff without training. Untrained staff give generic demos and fail to qualify. Fix: train on qualification questions, demo flow, and data entry before the event.
  3. No post-event follow-up system. Leads go cold within 48 hours. Fix: Day 1 personalized follow-up, Day 3 value-add, Day 7 soft CTA.

Execution Artifacts

  • references/framework-notes.md — named frameworks, citation anchors, and operating assumptions
  • templates/output-template.md — copy-paste deliverable structure for the user
  • scripts/check-output.py — local checklist validator for required sections This skill includes lightweight artifacts the agent can load on demand: Use the artifacts when the user asks for an implementation-ready deliverable, a repeatable workflow, or a quality check rather than generic advice.

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:

  • Event-Led Growth: apply only the part that directly improves the requested deliverable.
  • B2B Event Marketing Framework: apply only the part that directly improves the requested deliverable.
  • Bizzabo — Event Experience Framework: 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

  • cold-email-strategy, cold-email-copywriting, multi-channel-outreach, social-selling, pipeline-management

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 Event Driven Outreach AI skill do?

Builds outbound sequences around conference and event attendance: pre-event research and meeting booking, on-site plays, and post-event follow-up. Use when the user is prospecting around a specific conference or trade show, or needs an event follow-up sequence. Triggers on: "event outreach", "conference prospecting", "trade show follow-up", "event outbound".

Why use Event Driven Outreach on TypingMind?

Because you install it once and use it with any model. Event Driven Outreach 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 Event Driven Outreach in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeadMagic/gtm-skills/tree/main/skills/events/event-driven-outreach. 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 Event Driven Outreach?

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 Event Driven Outreach?

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

Is the Event Driven Outreach 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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