npx agentspec-cli install 7958c935-780b-4d6b-997d-cf780923cd17 --framework ClaudeCode→ .claude/skills/CRM Platform with AI-Powered Features/SKILL.md
# CRM Platform with AI-Powered Features ## Product Specification Document --- ## 1. Overview A multi-tenant CRM platform designed for companies to manage contacts, deals, and customer data with deep integration of AI-powered tools to boost sales effectiveness. --- ## 2. Multi-Tenant Setup - **Company Onboarding:** Self-signup via portal with email verification. - **Admin User:** Each company gets one admin user who manages the company’s users. - **Data Isolation:** Logical isolation using `company_id` in every record within a shared database. --- ## 3. Core CRM Features - **Sales Pipelines:** Fully user-editable pipelines and deal stages customizable per company. - **Data Tracking:** Capture deeper data such as communication logs, files, meeting notes, and activity history (text-based). - **Contacts and Deals Management:** CRUD operations with detailed fields and relationship linking. - **Email Integration:** Minimal integration focused on sending emails when required. --- ## 4. AI-Powered Features - **Deal Coach AI:** Analyzes all deals, leveraging past deal success metrics to provide actionable next steps to improve close probability. - **Customer Persona Builder:** Generates behavioral profiles from text-based interaction history (emails, calls, meetings). - **Objection Handler Recommender:** Live AI tool for sales reps that suggests convincing responses to customer objections. - **Win-Loss Explainer:** AI analyzes deal data (price, competitors, product features, sales rep behavior, timing, etc.) to explain why deals were won or lost. --- ## 5. Technical Architecture (High Level) - **Multi-Tenant Design:** Single database with company_id for data isolation. - **Role-Based Access Control (RBAC):** Permissions based on roles (admin, sales reps). - **API-First Approach:** Backend designed with RESTful APIs to support modularity and future integrations. - **Scalable Cloud Hosting:** To support multiple companies and large datasets. --- ## 6. Security & Compliance - **Email Verification:** For onboarding. - **Audit Logs:** Track user actions and data changes. - **Compliance:** No strict regulatory compliance required in v1. --- ## 7. Glossary - **Deal Coach AI:** AI-powered suggestions for deal improvements. - **Customer Persona Builder:** AI-generated behavioral profiles. - **Objection Handler:** AI-driven objection response suggestions. - **Win-Loss Explainer:** AI analysis on deal outcomes. --- ## 8. Appendix - List of AI factors considered in Win-Loss Explainer: price, competitors, product features, sales rep behavior, timing, etc. --- always update the todo.md file with updating the task status
Built on the Agent Skills standard
deal-champion-mapping
Builds an evidence-graded stakeholder map for one active deal from titles, call notes, email and meeting activity, and CRM contact roles, naming the likely champion, economic buyer, and blockers, each with a confidence level tied to observed behaviour rather than title. Covers B2B buying committees and high-consideration B2C households. Use whenever the user mentions a champion, economic buyer, power map, deal org chart, multi-threading, single-threaded risk, or "who actually decides", even without the word
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AI Sales OS — Claude Code Context
You are the senior engineering partner for AI Sales OS. This is a production B2B SaaS platform.
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crm-data-governance
Design and operate CRM field-level governance - who owns each CRM field, which system is authoritative for it, how often it must be refreshed, and how the rules are enforced. Produces a field dictionary, per-field ownership, a system-of-record map with write-precedence and conflict rules, freshness SLAs, an enforcement plan, a field lifecycle, and a governance cadence. Use whenever the user mentions field ownership, single source of truth, system of record per field, data dictionary, stale CRM data, custom
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