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Sales Intelligence

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Prepare for sales conversations with comprehensive account intelligence — company news, hiring signals, product launches, social activity, and decision-maker profiles. Combines firmographic data, news monitoring, and social signals for sales-ready briefings.

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  • Added September 5, 2026
ai-agentsgoapi

Works with

  • api
  • mcp

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A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 26, 2026

npx -y skills add sandbaseai/sandbase-skills --skill sales-intelligence --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: sales-intelligence
description: "Prepare for sales conversations with comprehensive account intelligence — company news, hiring signals, product launches, social activity, and decision-maker profiles. Combines firmographic data, news monitoring, and social signals for sales-ready briefings."
---

# Sales Intelligence

Prepare for sales conversations with comprehensive account intelligence — company news, hiring signals, product launches, social activity, and decision-maker profiles. Combines firmographic data, news monitoring, and social signals for sales-ready briefings. Read [the API map](references/sandbase-api-map.md) before selecting a capability.

## Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with `sandbase_discover(q: "<provider and capability>")`; use its returned `name` in `sandbase_inspect(name: "<returned name>")`. Read `inputSchema`, pricing, and `execute_as`, then call `sandbase_run` using `execute_as.arguments.name` and schema-defined `arguments`. If a `run_id` is returned, poll `sandbase_run_get(run_id: "<returned run_id>")` within the task budget until `completed` or `failed`; report pending or failed runs without resubmitting them automatically.

## Capability identifiers

- `apollo_company_enrich`
- `apollo_company_news_search`
- `linkedin_web_v2_company_profile`
- `linkedin_web_v2_user_profile`
- `twitter_web_search_timeline`
- `google_news_bulk_articles`

## Workflow

1. Understand the user's research question, target, and context.
2. Resolve each selected capability with `sandbase_discover`, then inspect the returned `name` with `sandbase_inspect` to confirm the schema and pricing.
3. Follow `execute_as` with `sandbase_run`; collect async results with `sandbase_run_get` as described above.
4. Synthesize findings into a clear, evidence-backed answer.
5. Cite sources, note evidence gaps, and separate observations from interpretations.

## Guidelines

- Always call `sandbase_inspect` before using any capability.
- Cite sources and preserve attribution (URLs, usernames, dates, metrics).
- Separate factual observations from analysis and recommendations.
- If data is unavailable, note the gap and continue with available evidence.
- Read-only research only. Never take actions on platforms.

Files in this skill

  • SKILL.md1.8 KB
  • references/sandbase-api-map.md789 B

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