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Events

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mia-ppp
events

When the user wants to decide, plan, activate, or measure an event as a product marketing or GTM motion. Covers owned events, sponsorships and exhibits, speaking, attendance for meetings, webinars, executive dinners, roundtables, conferences, trade shows, and customer or community events. Use for event strategy, event ROI decisions, event follow-up, or event marketing. For channel assets, route to their owning skill; for launch sequencing, see launch-strategy.

Overview

Publishermia-ppp
RepositoryPMM-Skills
Skill nameevents
Stars
76
Forks
2
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by mia-ppp on GitHub. Read the source before you install it.

Installation

Install the Events 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/mia-ppp/PMM-Skills/tree/main/skills/events
  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/mia-ppp/PMM-Skills.git /tmp/PMM-Skills
mkdir -p .claude/skills
cp -r /tmp/PMM-Skills/skills/events .claude/skills/events
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Events 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 Events 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 Events 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.

Events

Plan events as a GTM motion. Own the event decision, strategy, narrative brief, activation map, follow-up logic, and measurement plan. Do not become an event production or logistics planner. Catering, AV, venue sourcing, travel, and booth shipping are out of scope unless an operational constraint changes the GTM plan.

Before planning

  • Read ../_shared/evidence-gaps.md and ../_shared/ssot-consumption.md.
  • Read ../_shared/segment-selection.md when selecting or prioritizing audiences.
  • Check .agents/product-marketing-context.md (or legacy .claude/) when no applicable SSOT covers the needed context.
  • Identify the event, date or planning window, role, business goal, target audience, resources or budget constraints, and decision owner. Do not stop for missing facts. Mark them Assumed or Gap and state what would resolve them.
  • When an SSOT exists, use the project manifest and relevant canon files. Record the SSOT version or files used. Never alter canonical files.

Workflow

1. Decide whether the event merits investment

State the event role: hosting, sponsoring or exhibiting, speaking, attending for meetings, webinar or virtual event, executive dinner or roundtable, conference or trade show, or customer or community event. Mixed roles are allowed; describe each motion distinctly.

Choose one primary objective and any secondary objectives from pipeline generation, pipeline acceleration, customer expansion, category or brand building, product education, community, and customer advocacy. Explain why this event merits investment now, how it supports the broader GTM strategy, and what alternative or opportunity cost is relevant when known. Do not manufacture ROI, attendance, pipeline, or conversion estimates. Mark unsupported estimates as Assumed or Gap and identify the evidence needed.

2. Set the event strategy

Use relevant attendee jobs, skepticism and proof needs to establish credible event value; carry those insights and persona references to asset owners.

Define the target segment, personas and accounts, event objective, theme or thesis, audience offer, CTA, desired buyer action, sales involvement, success criteria, and pre-event, during-event, and post-event motions. Explain the audience problem the event addresses and why this event should exist beyond general awareness.

Select metrics that test the stated objective. Set a target only when the user or a source provides a basis. Separate leading indicators from business outcomes. Treat attributed or influenced pipeline as influence unless causal incrementality has been demonstrated.

3. Build the event narrative from canon

Use the approved SSOT as authority for category, positioning, ICP, persona priorities, core problem, value proposition, pillars, differentiators, product truth, and approved claims. Adapt emphasis and wording for event format, persona, theme, and funnel stage while preserving canonical meaning.

Capture the event theme, central audience problem, core message, supporting messages, approved proof, CTA, and relevant session, booth/demo, or executive talking points. Do not invent new product claims or independently redefine strategy. If the event requires a material narrative that conflicts with canon, flag the conflict and route evidence through ssot-context-loop. Do not silently change canon. A missing or stale SSOT element remains a gap, not permission to guess.

4. Orchestrate activation through asset owners

The event strategy owns the brief, audience, timing, purpose, dependencies, and handoff. The downstream skill owns the actual channel artifact. Route only the assets the plan needs:

NeedOwning skill
Event landing or registration pagemarketing-copy
Invitations, reminders, registration nurture, no-show or attendee nurtureemail-sequence
Named-account or executive outreachcold-email
Event promotion, live coverage, clips, recap postssocial-content
AE/SDR talk tracks, meeting preparation, demo or follow-up guidancesales-enablement
Launch is the primary motion and the event is one launch channellaunch-strategy
Tracking requirements or event measurement instrumentationanalytics-tracking

Keep traceability where the project can support it: EVENT STRATEGY ID → SSOT VERSION → DOWNSTREAM SKILL → ASSET. Do not rewrite downstream channel artifacts inside this skill.

5. Plan segmented follow-up

Specify owner, timing, purpose, and next step for relevant groups: attended and engaged, attended with low engagement, registered but absent, target account met or not met, existing customer, open opportunity, and speaker, VIP, or partner. Combine groups when their next action is genuinely the same. Route message drafting to the channel skill that owns it. Include consent, suppression, and sales handoff constraints supplied by the user or project.

6. Measure, learn, and hand off

Choose only metrics relevant to the objective. Possible leading indicators include target accounts invited, registrations, target-account attendance, meetings booked or completed, engagement, and qualified follow-ups. Possible outcomes include opportunities created or accelerated, influenced pipeline, expansion, post-event conversion, reusable content, and customer or market learning. Define data source, owner, measurement window, and baseline/target only where known. Separate observed outcomes from attribution claims. Record learning and evidence that could inform future event decisions; route any proposed canon change through the SSOT process.

Required output: event strategy

Every plan contains these sections. Mark a section Not applicable with a reason when the event type does not need it. Missing evidence is never a reason to omit a section.

  1. Inputs and assumptions: Sources and context used, with Sourced, Assumed, or Gap labels per ../_shared/evidence-gaps.md.

  2. Event decision: Why this event and why now, role, objective, audience, broader GTM role, expected outcomes, and major assumptions/evidence gaps.

  3. Event strategy: Type, audience, objective, theme, offer, CTA, desired buyer action, sales role, and success definition.

  4. Canonical messaging inputs: SSOT/client, canon version or mapped files, relevant approved elements, and any missing, stale, or conflicting inputs.

  5. Event narrative: Core message, supporting messages, proof, CTA, and applicable speaker/session, booth/demo, or executive angles.

  6. Activation plan:

    PhaseAsset / motionAudiencePurposeOwning skillTimingStatus
  7. Sales motion: Before, during, and after event.

  8. Follow-up segmentation: Segment, treatment/next action, owner, timing, and rationale.

  9. Measurement plan: Leading indicators and business outcomes, with source, owner, window, and targets only where supported.

  10. Evidence gaps: Ranked Assumed and Gap items using the shared format.

Final checks

  • The chosen event role and objective are explicit, and the audience is defined.
  • The event thesis, offer, CTA, desired buyer action, and success criteria align.
  • Narrative preserves canonical meaning; conflicts are routed to SSOT review.
  • Activation and follow-up name the downstream asset owner and handoff.
  • Metrics fit the objective, distinguish leading indicators from outcomes, and do not state influence as causal revenue.
  • Claims, estimates, and audience choices carry evidence labels. No unsupported ROI or pipeline estimate is presented as fact.
  • Every required output section is present or marked Not applicable with reason.

Boundaries and routing

  • messaging-consistency-audit checks event narratives and assets vertically against SSOT and horizontally against other market-facing assets. Route event strategy-level narrative conflict to events; route each asset correction to its owning channel skill.
  • output-quality-check checks whether this event strategy meets the requirements in this skill. It does not check company-message alignment.
  • ssot-context-loop owns canon review and approval. Repeated narrative conflict or evidence of stale canon is a review request, never an automatic edit.
  • Detailed event production and logistics are outside this skill's core scope.

Related skills

  • launch-strategy: event as one component of a product or feature launch.
  • marketing-copy, email-sequence, cold-email, social-content, sales-enablement: channel artifacts and sales execution.
  • analytics-tracking: tracking implementation and instrumentation.
  • messaging-consistency-audit: SSOT alignment and cross-asset narrative checks.
  • output-quality-check: independent check against this skill's declared quality bar.
  • ssot-context-loop: governed canon review and approval.

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 Events AI skill do?

When the user wants to decide, plan, activate, or measure an event as a product marketing or GTM motion. Covers owned events, sponsorships and exhibits, speaking, attendance for meetings, webinars, executive dinners, roundtables, conferences, trade shows, and customer or community events. Use for event strategy, event ROI decisions, event follow-up, or event marketing. For channel assets, route to their owning skill; for launch sequencing, see launch-strategy.

Why use Events on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mia-ppp/PMM-Skills/tree/main/skills/events. 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 Events?

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 Events?

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

Is the Events AI skill free?

Yes. It is published on GitHub by mia-ppp 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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