Générateur de signaux à haute intention

VérifiéPrudence

Génère 5 campagnes de signaux à haute intention à partir d'une URL d'entreprise, avec playbook complet, filtres AI Ark + Apollo, et scripts email et LinkedIn.

Spar Skills Guide Bot
Data & IAIntermédiaire
1025/07/2026
Claude CodeCursorWindsurf
#high-intent-signals#outbound-sales#signal-based#campaign-generation

Recommandé pour

Notre avis

Génère 5 campagnes de prospection basées sur des signaux d'achat à partir d'une URL d'entreprise, avec scripts email et LinkedIn.

Points forts

  • Ancre chaque campagne sur un signal concret (financement, recrutement, adoption technologique) et non un simple segment d'audience
  • Produit des playbooks complets avec filtres Apollo et AI Ark
  • Scripts email et LinkedIn prêts à l'emploi avec multiples objets
  • S'appuie sur des données réelles via Exa (tendances, concurrents, plaintes Reddit)

Limites

  • Nécessite deux clés API (Anthropic, Exa) et éventuellement Jina
  • Temps d'exécution long (~80s pour la version complète)
  • Les campagnes générées sont des suggestions ; leur qualité dépend de la précision des données d'entrée
Quand l'utiliser

Utilisez cette compétence lorsque vous voulez identifier des acheteurs potentiels activement en phase de changement plutôt qu'une liste statique de prospects.

Quand l'éviter

Ne l'utilisez pas pour constituer une liste de prospects générique ; préférez plutôt Territory Launcher ou Lookalike Finder pour cela.

Analyse de sécurité

Prudence
Score qualité95/100

The skill instructs to execute commands using npx to install and run an external package, which inherently trusts the package source. While no destructive actions are commanded, the use of network tools and external code elevates caution.

Points d'attention
  • Runs third-party code via npx from npm registry, which could be compromised if the package is malicious.
  • Requires API keys to be set as environment variables; though not exfiltrated, mishandling could leak them.
  • Network access required for API calls and website reading.

Exemples

Find high-intent signals for a company
Find high-intent signals for https://example.com
Build signal-based outbound for a URL
Build signal-based outbound for https://example.com
Generate high-intent signals with speed
/high-intent-signals --url https://example.com --campaigns-only

name: high-intent-signals description: Generate 5 high-intent signal campaigns from a company URL, each with full playbook, AI Ark + Apollo filters, and email + LinkedIn scripts. Trigger on "find high-intent signals for [URL]" or "build signal-based outbound for [URL]".

High-Intent Signal Generator Skill

What this does

Runs BuzzLead's open-source High-Intent Signal Generator pipeline:

  1. Reads the user's site (Jina Reader → Claude extracts offer, ICP, differentiators, industry, target titles)
  2. Builds market intel via Exa — industry trends, competitor moves, Reddit complaints — synthesized by Claude
  3. Designs 5 high-intent signal campaigns — each anchored to a real buying signal (funding, hiring, tech adoption, product launch, mandate change), not just a persona
  4. Expands each campaign into a playbook — signal definition, why it's high-intent, step-by-step data sourcing, AI Ark + Apollo filter fields, list size estimate
  5. Writes 2 scripts per campaign — one email, one LinkedIn — with 3 subject lines + follow-up

Output: a JSON file with full nested strategy. Different from generic outbound — every campaign fires on a real signal, not a static segment.

GitHub: https://github.com/Buzzlead-dev-org/high-intent-signals Web tool: https://buzzlead.io/resources/free-tools/high-intent-generator

When to use this skill

Trigger on:

  • "Find high-intent signals for [URL]"
  • "Build signal-based outbound for [URL]"
  • "Generate high-intent signals"
  • "/high-intent-signals"
  • "What buying signals should I monitor for [URL]?"

Distinguish from the other BuzzLead skills:

  • Territory Launcher = drop YOUR URL → 10 prospects matching your ICP + copy
  • Lookalike Finder = drop a CLIENT'S URL → 25 similar companies + contacts + emails
  • GTM Strategy Generator = drop YOUR URL → 9 outbound plays (broad strategy)
  • High-Intent Signals (this skill) = drop YOUR URL → 5 signal-based campaigns (each fired by a real buying trigger)

How to run it

npx -y @buzzlead/high-intent-signals \
  --url <user-domain> \
  --out <output.json>

Fast preview without playbooks/scripts:

npx -y @buzzlead/high-intent-signals --url <user-domain> --campaigns-only --out <output.json>

Required env vars

| Var | Purpose | Where | |---|---|---| | ANTHROPIC_API_KEY | All AI generation | https://console.anthropic.com | | EXA_API_KEY | Trends + competitor + Reddit research | https://exa.ai |

Optional: JINA_API_KEY.

Stop and report missing keys before running.

Instructions for executing the skill

  1. Confirm inputs if not specified:

    • Company URL (required)
    • Full expansion (default) or --campaigns-only for preview
    • Output path (default ./high-intent-signals.json)
  2. Check env vars — stop if missing.

  3. Run the CLI:

    npx -y @buzzlead/high-intent-signals --url <URL> --out <OUTPUT>
    

    Expected runtime: ~80s full expansion, ~30s --campaigns-only.

  4. On success, read the output JSON and surface:

    • The 5 campaign names with their signal types
    • For the top campaign: signal definition, why it's high-intent, the LinkedIn script
    • Pointer to the full JSON for AI Ark/Apollo filters
  5. On partial failure, tell the user which campaigns expanded — the campaign angles are still there for the failures.

Cost the user should expect

  • Full 5-campaign expansion: ~$0.30–0.80 + ~$0.02 Exa
  • --campaigns-only: ~$0.05

Mention on first run.

What this skill is NOT for

  • Don't use as a prospect list builder — use Territory Launcher / Lookalike Finder.
  • Don't confuse with GTM Strategy Generator — that produces 9 broader plays; this produces 5 signal-anchored campaigns.
  • Don't invoke without confirming both required API keys.
  • Don't modify the signal categories or frameworks — they're calibrated.
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