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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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.
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.
| name | research-account |
| description | 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. |
Use this skill to build a comprehensive picture of a target company before reaching out or prioritising them for outreach.
Produce a research brief covering: company overview, recent news and events, hiring signals, tech stack, LinkedIn presence, and any Saber signal results — ready to inform outreach or qualification decisions.
Ask the user for the company name or domain if not already in conversation context.
Check what research tools are available:
Saber CLI (saber --help): runs signals against the domain for structured data. An account brief is mostly commodity facts, which is exactly what the five prebuilt signals return — saber signal funding|mna|tech|open-jobs|firmographics --domain <domain>, structured and source-cited, no question design needed. For anything the brief needs that isn't one of those five facts — a product capability, a specific hiring pattern, a qualification judgement — write a custom --question.
MCP tools: scan available tools for:
Note what's available — use everything you can find.
Run these in parallel where possible:
saber signal firmographics --domain <domain> → size, HQ, industry, employee count, founded year (structured + sourced)Focus on the last 6–12 months.
saber signal funding --domain <domain> (rounds, amounts, investors) and saber signal mna --domain <domain> (acquisitions, as acquirer or target) — both source-citedsaber signal open-jobs --domain <domain> → open-role count, hiring themes, locations, and what they're hiring forsaber signal tech --domain <domain> --category crm (or --category erp, or --technology "<name>" for a specific product) → current systems, each backed by public web evidenceIf a LinkedIn MCP is available, look up the company page:
If the Saber CLI is available, the prebuilt signals above are the fastest way to get structured, source-cited data for this domain. Each consumes credits — check the balance first (saber credits), then fire them in parallel and collect:
saber signal funding --domain <domain> --no-wait
saber signal mna --domain <domain> --no-wait
saber signal open-jobs --domain <domain> --no-wait
saber signal firmographics --domain <domain> --no-wait
saber signal tech --domain <domain> --category crm --no-wait
saber signal get <signalId> # for each returned id, once complete
For a fact no prebuilt signal covers, run a custom question: saber signal --domain <domain> --question "<question>" --answer-type boolean.
If pre-defined signal subscriptions exist for a list containing this company, retrieve those results:
saber subscription list
saber subscription get <subscriptionId>
If a HubSpot MCP is available, look up whether this company already exists as a contact or deal in HubSpot — note the current stage and any logged activity.
Structure the output as a brief:
## [Company Name] — Research Brief
**Overview:** 2–3 sentence summary of what they do and why they matter.
**Recent signals:**
- [Funding / M&A — from `saber signal funding` / `mna`, with source URL]
- [Hiring — from `saber signal open-jobs`]
- [Any subscription signal results]
**Tech stack:** [CRM/ERP and notable tools — from `saber signal tech`, with evidence URLs]
**LinkedIn:** [Employee count, growth trend, notable activity]
**HubSpot status:** [Known / not known; deal stage if applicable]
**Outreach angle:** 1–2 sentence recommendation for how to approach them based on the research.
After presenting the brief, suggest:
write-outreach to draft a personalised message using this researchqualify-inbound if you need a formal signal-based qualification scoreenrich-contacts to find specific contact details for the people to reach out to