# Startup Metrics Framework > This skill should be used when the user asks about \\\"key startup metrics", "SaaS metrics", "CAC and LTV", "unit economics", "burn multiple", "rule of 40", "marketplace metrics", or requests... Use when this capability is needed. - Skill: `tomevault-io/startup-metrics-framework-2` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/startup-metrics-framework-2` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/startup-metrics-framework-2/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/startup-metrics-framework-2 --- # Startup Metrics Framework Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A. ## Use this skill when - Working on startup metrics framework tasks or workflows - Needing guidance, best practices, or checklists for startup metrics framework ## Do not use this skill when - The task is unrelated to startup metrics framework - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed patterns and examples. --- ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve prior decisions and patterns to avoid re-discovering solutions. Cache results for instant retrieval in future sessions. ```bash # Check for prior development context before starting python3 execution/memory_manager.py auto --query "prior work and patterns related to Startup Metrics Framework" ``` ### Storing Results After completing work, store development decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Completed task with key insights documented for future reference" \ --type decision --project \ --tags startup-metrics-framework default ``` ### Multi-Agent Collaboration Share outcomes with other agents so the team stays aligned and avoids duplicate work. ```bash python3 execution/cross_agent_context.py store \ --agent "" \ --action "Task completed — results documented and shared with team" \ --project ``` --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/techwavedev) — claim your Tome and manage your conversions.