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Write personalised cold outreach — email and LinkedIn — using Saber signal results and contact data as personalisation context.
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SOC 직업 분류 기준
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.
| name | write-outreach |
| description | Write personalised cold outreach — email and LinkedIn — using Saber signal results and contact data as personalisation context. |
Use this skill to write a personalised cold email or LinkedIn message for a specific contact, using Saber signal results (company-level and contact-level) as the personalisation engine.
Produce 1–3 outreach variants (cold email, LinkedIn connection request, LinkedIn InMail) that reference specific, timely signals rather than generic opener lines.
Ask for or confirm from conversation context:
Signal results are the personalisation fuel. Pull as much as is available.
If the Saber CLI is available (saber --help works):
Company-level signals — check for existing subscription results for this domain:
saber subscription list
saber subscription get <subscriptionId> # for any subscription covering this company
If no results exist for this company, offer to run a quick spot-check:
saber signal --domain <domain> --question "<question>" --answer-type boolean
Suggested spot-check questions if no signals are pre-defined:
Contact-level signals — if a LinkedIn URL is available:
saber signal --profile <linkedin-url> --question "Is this person posting about [relevant topic]?"
saber signal --profile <linkedin-url> --question "Has this person recently changed roles or been promoted?"
If the Saber CLI is not available: ask the user to share any signal results they have, or describe what they know about the contact and company. Proceed with whatever context is available.
From the signal results and context, pick the strongest hook — the one most likely to resonate with this specific contact. Prioritise:
Avoid generic openers like "I noticed you're growing fast" unless signals specifically confirm growth.
Before writing, confirm:
If this is already clear from conversation context (e.g. previous signal-discovery run), use it directly.
Write all three variants using the chosen personalisation angle:
Show all three variants clearly labelled. Ask: