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.mdfor detailed patterns and examples.
AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Memory-First Protocol
Retrieve prior decisions and patterns to avoid re-discovering solutions. Cache results for instant retrieval in future sessions.
# 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:
python3 execution/memory_manager.py store \
--content "Completed task with key insights documented for future reference" \
--type decision --project <project> \
--tags startup-metrics-framework default
Multi-Agent Collaboration
Share outcomes with other agents so the team stays aligned and avoids duplicate work.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Task completed — results documented and shared with team" \
--project <project>
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