Proactive Alerts logo

Proactive Alerts

Organization
LeadMagic
proactive-alerts

Set up proactive GTM alert systems — CRM pipeline alerts, buying signal notifications, Slack/email routing, risk scoring. Use when building alert systems, monitoring pipeline health, detecting buying signals, or setting up automated notifications for GTM teams. Triggers on: "alerts", "notifications", "pipeline alerts", "signal alerts", "monitor pipeline", "deal alerts", "Slack alerts", "pipeline monitoring", "proactive", "warning system", or any request about automated detection and notification.

Overview

PublisherLeadMagic
Repositorygtm-skills
Skill nameproactive-alerts
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 Proactive Alerts 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/analytics/proactive-alerts
  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/analytics/proactive-alerts .claude/skills/proactive-alerts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Proactive Alerts 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 Proactive Alerts 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 Proactive Alerts 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.

Proactive Alerts

Overview

GTM teams spend 30% of their time checking dashboards that should be checking themselves. Proactive alerts invert this: the system watches your pipeline and signals 24/7, pushing notifications only when something needs attention.

This skill designs an alert architecture: what to monitor, when to alert, who to notify, and how to route each signal type to the right person at the right time — all without alert fatigue.

When to Use

  • "Set up pipeline alerts"
  • "Notify me when a deal stalls"
  • "Alert the team on buying signals"
  • "Build a deal risk monitoring system"
  • "Set up Slack notifications for pipeline changes"
  • "Create a signal-to-Slack pipeline"

Authoritative Foundations

Alert design draws from UnifiedPipeline's deal risk scoring methodology (transparent scores, daily briefings), SyncGTM's 15+ signal monitoring system, and Alysio's pipeline risk detection layer (engagement, sentiment, velocity, and qualification signals).

Prerequisites

  • CRM with webhook or API access (HubSpot, Salesforce)
  • Slack or Teams for delivery
  • Signal data sources (job boards, funding databases, tech stack monitors)

Step-by-Step Process

Phase 1: Alert Categories

CategoryExamplesUrgencyChannel
Pipeline RiskDeal stalled >7 days, close date pushed, amount decreased, stage moved backward, missing next steps, no activityHigh — requires action todaySlack DM to rep + manager
Buying SignalsFunding raised, hiring surge, exec change, tech stack shift, job change, website visit spikeHigh — time-sensitive outreachSlack channel + CRM task
Positive SignalsDeal revived, amount increased, close date pulled in, new large deal createdMedium — awarenessDaily briefing
OperationalBounce rate spike, domain health alert, sequence completion, credit usage thresholdMedium — requires monitoringSlack channel
ForecastCommit deal at risk, large deal slipped, pipeline coverage below targetHigh — executive visibilitySlack to CRO + weekly report

Phase 2: Alert Configuration by Role

RoleAlerts They Receive
SDRNew lead assigned, lead response overdue, sequence bounce alert
AEDeal stalled, close date pushed, competitor detected, champion left company
ManagerTeam pipeline coverage, rep activity gaps, deal inspection flags
CROForecast changes >20%, large deal at risk, pipeline coverage drop
RevOpsCRM data quality flags, integration failures, enrichment gaps

Phase 3: Routing and Delivery

  1. Real-time / Urgent → Slack DM or dedicated #pipeline-alerts channel
  2. Daily briefing → Scheduled message at 7am with ranked risk list
  3. Weekly digest → Summary of all alerts, trends, and actions taken
  4. Escalation → If alert acknowledged but no action in 24 hours → manager notified

Phase 4: Alert Fatigue Prevention

  • Max 5 high-priority alerts per person per day
  • Group related alerts into single messages
  • Allow per-user alert configuration (mute categories, adjust thresholds)
  • Track alert-to-action rate — if alerts aren't driving action, tune thresholds
  • Monthly alert audit: remove or adjust alerts with <10% action rate

Output Format

Alert architecture document with alert catalog, routing rules, delivery templates, threshold configuration, and fatigue prevention rules.

Quality Check

  • Alert catalog covers pipeline risk, buying signals, positive signals, operational, and forecast
  • Every alert has a defined owner and SLA for response
  • Routing rules documented (who gets what, when)
  • Alert fatigue thresholds set (max per person, per day, per channel)
  • Daily briefing template created
  • Monthly alert audit cadence established

Common Pitfalls

  1. Alerting on everything. A Slack channel with 50 alerts/day becomes invisible. Curate ruthlessly. Only alerts that require action should fire.

  2. No owner. An alert that goes to a channel with no named owner gets ignored. Every alert type has one person accountable.

  3. Alerting without context. "Deal X stalled" without "it's been in Demo for 14 days, last contact was a bounce, and the champion changed jobs" doesn't help. Context drives action.

  4. Same alert for everyone. An SDR doesn't need CRO-level pipeline alerts. Tailor by role or risk burnout.

  5. No alert audit. Alerts that were urgent 6 months ago may be noise now. Audit monthly and remove or tune.

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.

Related Skills

  • signal-scoring: The signal detection that feeds buying signal alerts
  • pipeline-management: Pipeline structure that enables risk detection
  • deliverability-monitoring: Bounce and reputation alerts
  • gtm-metrics: Dashboard metrics that complement alerts

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 Proactive Alerts AI skill do?

Set up proactive GTM alert systems — CRM pipeline alerts, buying signal notifications, Slack/email routing, risk scoring. Use when building alert systems, monitoring pipeline health, detecting buying signals, or setting up automated notifications for GTM teams. Triggers on: "alerts", "notifications", "pipeline alerts", "signal alerts", "monitor pipeline", "deal alerts", "Slack alerts", "pipeline monitoring", "proactive", "warning system", or any request about automated detection and notification.

Why use Proactive Alerts on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeadMagic/gtm-skills/tree/main/skills/analytics/proactive-alerts. 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 Proactive Alerts?

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 Proactive Alerts?

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

Is the Proactive Alerts 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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