Sales

## Quick judgment A solid, opinionated sales-ops skill that gives an AI agent a complete lightweight CRM-like workflow using markdown files and shell scripts. It’s especially well-suited to solo founders and small teams that want structured sales processes without a heavy CRM, or that want their agent to operate in a simple file-based environment. ## Strengths - **Comprehensive workflow**: Covers lead capture, BANT qualification, pipeline stages, outreach cadences, follow-up rules, meeting prep/notes, objection logs, and analytics/reporting templates. - **Agent-friendly implementation**: File-based storage plus simple CLI scripts (`sales-init.sh`, `lead-tracker.sh`, `pipeline-report.sh`) are easy for agents to call and for users to understand. - **Good sales hygiene baked in**: Sensible defaults for stages, cadences, velocity metrics, and win/loss analysis help enforce best practices. - **Works without a CRM**: Built-in markdown-based tracking is enough for many early-stage or low-volume workflows. ## Key risks and limitations - **External CRM integration is conceptual**: The page references using HubSpot/Salesforce/Notion APIs but does not show concrete, production-ready integration code or configuration details; real syncing will require additional engineering. - **File-based storage constraints**: Markdown files are simple but may become brittle at scale (naming collisions, merge conflicts, performance issues with very large datasets, limited multi-user concurrency). - **Data sensitivity**: Lead/contact PII is stored in plain text files by default; users must handle access control, backup, and compliance themselves. - **Outreach volume and spam risk**: The included cadences are reasonable, but an aggressive or poorly targeted deployment could lead to spam-like behavior if not supervised. ## Recommended scenarios - **Solo founders, consultants, and small agencies** who want an AI agent to act as a lightweight sales coordinator without adopting a full CRM. - **Early-stage B2B startups** that need structure around pipeline and follow-ups, but are still experimenting with process and don’t want to lock into a complex system. - **Teams already using a CRM** that want an AI agent to maintain detailed meeting notes, objection logs, and win/loss analyses in a parallel markdown workspace. - **Process bootstrapping**: Using the templates and scripts as a starting playbook to later migrate into a more robust CRM or custom system. For high-scale, multi-rep organizations with strict compliance and deep CRM workflows, this skill is better suited as a supplemental tool or prototype rather than the primary system of record.