Alavida CLI and MCP server

Alavida component SDK — schema, auth context, callbacks, middleware

Alavida X Scraper SDK (TypeScript/Node).

Compiler-driven lifecycle CLI for source-backed agent skills

Agonda/Alavida brand design kit — colors, typography, spacing, components, layout, voice

Marketing strategist sparring partner — challenges marketing thinking, stress-tests channel strategies, forces clarity on positioning. Ingests Alavida business context via agentpack sources.

CLI tool for linear.app that uses git branch names and directory names to open issues and team pages

Review UI code for Web Interface Guidelines compliance

CLI for managing execution plans and workspace lifecycles in Agonda-structured repositories

Website execution skillgraph — build, iterate, and deploy websites with layered identity, structure, creation, refinement, technical, and quality gate skills.

Skill graph explaining the Agonda monorepo architecture: domain vertical slices, four systems, eight layers, cross-domain communication.

Contextualize new information against Alavida's research knowledge graph — stack model, competitive dynamics, settlement patterns, governance thesis.

Grand Slam Offer methodology — Value Equation, 5-step offer construction, demand amplification, risk reversal, MAGIC naming.

Falconer's Agentic Mesh methodology — patterns, principles, and frameworks for designing agent ecosystems. Seven-layer trust, 27 design patterns, agent lifecycle, mesh architecture.

Alavida's value offer — who we are, who we serve, what we sell, how we sell it. Compiled from governed knowledge, constrained by 100M Offers methodology.

Perceptual science for information visualization, grounded in Cairo's Functional Art

Architecture evolution workbench — structured problem understanding, methodology-grounded decision-making, phased rollout planning.

Skillgraph for building on-brand dashboards with agent context-capture (agentation pattern)

Research analyst workbench — daily research flows, article intake, knowledge maintenance. Maintains the research knowledge graph.

GEO (Generative Engine Optimization) strategy — auditing content for AI citability, platform-specific tactics, empirical research data from the Princeton/IIT Delhi KDD 2024 study.