Sales Intelligence: Install, Source and Security | FunnelSlayer

Sales Intelligence

Published by sandbaseai in sandbase-skills

Review recommended7 installs

What this skill does

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.

Add Sales Intelligence to your agent

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "sales-intelligence" from https://github.com/sandbaseai/sandbase-skills

Install with the CLI

Run this command in a controlled environment after reviewing the repository:

npx skills add https://github.com/sandbaseai/sandbase-skills --skill sales-intelligence

Skill instructions

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 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 included

  • references/sandbase-api-map.md
  • SKILL.md

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