Event Ops Score And Door logo

Event Ops Score And Door

Organization
getaero-io
event-ops-score-and-door

DRAFT. Score Luma/RSVP lists, approve against capacity, produce host-hit shortlists and day-of door packs. Systems framing — not a marketing CSV dump. Not installed by deepline skills.

Overview

Publishergetaero-io
Repositorygtm-eng-skills
Skill nameevent-ops-score-and-door
Stars
72
Forks
15
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by getaero-io on GitHub. Read the source before you install it.

Installation

Install the Event Ops Score And Door 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/getaero-io/gtm-eng-skills/tree/main/drafts/event-ops-score-and-door
  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/getaero-io/gtm-eng-skills.git /tmp/gtm-eng-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-eng-skills/drafts/event-ops-score-and-door .claude/skills/event-ops-score-and-door
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Event Ops Score And Door 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 Ops Score And Door 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 Ops Score And Door 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 ops: score, approve, door pack (DRAFT)

Thesis

A full Luma page is demand. Pipeline starts at who gets a seat, who hosts must meet, and show/no-show writeback — not at another invite channel.

Flow

  1. Ingest pending/waitlist/approved export (templates/guests.schema.csv).
  2. Enrich missing title/company/LinkedIn (pilot ≤10 first).
  3. Score into hot/warm/low/skip (references/scoring.md).
  4. Capacity approve — dry-run diff before any Luma status changes.
  5. Host-hit list — top 20–40 with why + intro angle (optional dossier skill next).
  6. Door pack — name, company, segment, check-in box, host flags.
  7. Closeout — show/no-show column for CRM writeback within 24–48h.

Outputs

  • scored.csv
  • approve-dry-run.diff.md
  • host-hits.csv
  • door-list.csv / printable PDF if available
  • #event-ops checklist owner

Guardrails

  • Scoring that never changes seats is a dashboard. This skill must change seats or explicitly say why not.
  • No mass approve without capacity number on screen/log.

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 Ops Score And Door AI skill do?

DRAFT. Score Luma/RSVP lists, approve against capacity, produce host-hit shortlists and day-of door packs. Systems framing — not a marketing CSV dump. Not installed by deepline skills.

Why use Event Ops Score And Door on TypingMind?

Because you install it once and use it with any model. Event Ops Score And Door 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 Ops Score And Door in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getaero-io/gtm-eng-skills/tree/main/drafts/event-ops-score-and-door. 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 Ops Score And Door?

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 Ops Score And Door?

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

Is the Event Ops Score And Door AI skill free?

Yes. It is published on GitHub by getaero-io 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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