skills

Activate company-level signal tracking. Runs signals via the Saber CLI if available; without it, outputs a research playbook and suggests alternative tracking methods.

Generate 12–15 structured, weighted research signals from a structured ICP, ready to activate in Saber. Each signal includes answer type, weight, and interpretation rules for automatic scoring.

Deep research on a single company — signals, hiring, news, tech stack, and LinkedIn presence. Uses the Saber CLI for signal data and any available MCP tools for broader research.

End-to-end guided workflow — take one prospect domain, run your saved research signals, find named contacts on the buying committee, and write a hyper-personalised cold email and LinkedIn DM grounded in the signal answers. First run defines the source-company ICP, contact-search targets, and ≤5 weighted signals (saved to disk); every subsequent run reuses them. Use when you want full SDR research-and-write for a single prospect, not write-outreach in isolation.

End-to-end guided workflow — build a Saber company list, run research signals across every company in parallel, find named contacts, and export a combined CSV to the desktop. Walks the user through each stage with confirmations and a credit-discipline guard. Use when you want one signed-off CSV instead of running build-account-list, create-company-signals, and build-contact-list separately.

Build a target account list and run company signals against it. Works with the Saber CLI, Apollo, HubSpot, or any available prospecting tool — with a manual fallback.

Set up native scoring — create a profile, translate signal templates into rules, and bulk-assign a list so fit and urgency scores compute automatically. Bridges the weighted model from generate-signals into the platform.

Cluster historical ad-hoc signal questions into reusable signal templates so they can be referenced by scoring rules. One-shot migration tool — most orgs run it once before configuring scoring on legacy data.

Identify existing customers showing buying signals for upsell or cross-sell using a dedicated expansion scoring profile. Falls back to manual signal counting when the Saber CLI isn't available.

View, pause, resume, and adjust your active Saber signal subscriptions.

Qualify an inbound lead by running signals against their company domain and reading native fit + urgency scores. Falls back to manual scoring when the Saber CLI or a scoring profile isn't available.

Rank a list of accounts by signal strength to surface the highest-priority targets for outreach. Reads native fit + urgency scores from Saber when available, and falls back to client-side weighted scoring for Apollo, HubSpot, or pasted data.

View, edit, and operate scoring — list profiles and rules, tune point values, add or remove assignments, trigger recompute, and inspect scores with contribution breakdowns. The day-two counterpart to configure-scoring.

Guided entry point for defining your ICP and buying signals — runs extract-icp then generate-signals in sequence. Start here before creating signals or building lists.

Build a target contact list and run contact-level signals against them. Works with the Saber CLI, Apollo, LinkedIn, HubSpot, or manual research.

Map the competitive landscape for a target market — identify competitors, compare positioning, surface common objections, and build battle cards for your sales team.

Analyse a deal in progress — assess health, identify risks, map the buying committee, and recommend specific next steps to move it forward.

Map a target market — size, segments, key players, adjacent verticals, and entry points. Helps GTM teams understand the landscape before building lists or running signals.

Build or extend an objection library for your ICP — common objections mapped to the real concern underneath, with response frameworks your team can use in live deals.

Build a deep profile of a buying persona — motivations, challenges, buying behaviour, language they use, and where to find them. Helps reps understand who they're selling to before they reach out.

Audit pipeline health from CRM data — identify at-risk deals, surface stalled opportunities, flag forecast risk, and recommend where to focus.

Research a company domain and extract a structured Ideal Customer Profile (ICP) — including target company profile, buying committee, pain points, buying triggers, and existing customers.

Design a multi-step outreach sequence (email + LinkedIn) with messages personalised using Saber signal results and timing tied to signal triggers.

Pull a HubSpot company list, view, or segment into Saber as a target account or contact list, ready for signal activation.

Push Saber signal results back to HubSpot as contact or company properties, keeping your CRM up to date with the latest intent data.

Write personalised cold outreach — email and LinkedIn — using Saber signal results and contact data as personalisation context.

Find and add contact information (email, phone) to a Saber contact list using available enrichment providers such as Apollo or Cognism. Detects available MCPs and CLIs automatically.

Activate contact-level signal tracking using the Saber CLI — creates signals for contacts in a contact list.