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veezeehq

Veezee Skills MCP Server

Official
by veezeehq

veezee-skills

Agent skills for Veezee: LinkedIn, Reddit, and X (formerly Twitter) data for AI agents over MCP or REST, credit-metered, no key needed to start.

Each skill is a SKILL.md pack under skills/<name>/, in the standard agent-skills format (YAML frontmatter with name and description, body of instructions). Point your agent runtime at the pack, or copy it into your project's skills directory.

Skills

  • prospect-enrich: enrich known prospects with current role, company, and experience data. LinkedIn.

  • candidate-sourcing: turn a role spec (title, company, school) into a ranked, enriched shortlist. LinkedIn.

  • company-enrichment: enrich a batch of companies (URLs, slugs, or website domains) with firmographics. LinkedIn.

  • account-research: one-account pre-outreach briefing: company facts, key people, recent posts. LinkedIn.

  • post-voice-research: what a person or company posts about: topics, tone, cadence. LinkedIn.

  • reddit-monitoring: continuously monitor Reddit for new mentions of a topic, brand, or competitor, deduped across polls. Reddit, with an X (formerly Twitter) escalation path.

  • launch-sentiment-sweep: one-shot sweep of Reddit and X reactions to a launch or announcement in a time window, read out as volume, quotes, themes, and notable accounts. Reddit and X.

  • outreach-list-builder: turn a role or ICP spec into a ranked outbound sales list, each prospect enriched with company context and a personalized opener rationale. LinkedIn.

The server these skills drive

Validation

npm test checks every pack: frontmatter shape, name matches its directory, and forbidden-vocabulary scan. CI runs it on every push.

Contributing

Truth rule: a skill may only instruct what the shipped tools actually do (5 linkedin_*, 6 reddit_*, 5 x_*, plus get_usage; see https://veezee.io/docs). Claims a test cannot verify do not merge.