ipad-kit

Define AI/GenAI governance for cognitive and autonomous analytics

Design analytics maturity path from descriptive to cognitive

Guided maturity assessment across 6 dimensions with L1-L5 scoring

Compare IPA assessment against framework benchmarks and peer IPA profiles

Build investment justification for IPAD implementation at target maturity level

Copy IPAD Kit templates to project for local customization

Generate data catalogue with attributes, types, and governance tags

Apply 4-tier data classification taxonomy to IPA data assets

Create ODCS v3 data contracts for inter-domain data exchange

Define data quality framework with 6 dimensions and thresholds per maturity level

Catalogue and classify data sources across the 8-layer stack

Generate architecture diagrams for IPAD artifacts using Mermaid or PlantUML

Generate entity relationship model from 49 IPAD entities scoped to maturity level

Define ethical data use and dark data governance framework

Map data to the Investment Growth Funnel stages

Identify gaps between current and target maturity with prioritised improvement actions

Generate CDA governance model with roles, policies, and federated structure

Scan IPAD project artifacts for staleness, missing dependencies, and orphaned documents

Initialize IPAD Framework project structure for an Investment Promotion Agency

Design stakeholder insight delivery channels and mechanisms

Generate detailed specification for a specific IPAD Framework layer

Generate documentation site with maturity dashboard, document viewer, and Mermaid diagram support

Assess compliance against 25 IPAD architecture principles

Generate executive summary of IPA's IPAD implementation status

Review completeness and consistency of all IPAD artifacts in a project

Generate maturity improvement roadmap with phased milestones per dimension

Generate ICA security model for IPA data protection

Map IPA stakeholder ecosystem across 5 tiers

Generate project narrative with timeline, decisions, and governance achievements

Trace entities through governance, quality, and implementation artifacts

Use this agent when the user needs IPA benchmarking data, WAIPA survey results, UNCTAD World Investment Report data, OECD FDI statistics, or peer IPA comparisons. This agent performs web research to find real, current benchmarking data for the /ipad-kit:benchmark command. <example> Context: User running /ipad-kit:benchmark for their IPA and the command needs external benchmarking data beyond the built-in sample profiles. user: "/ipad-kit:benchmark 001" assistant: "I'll launch the benchmark research agent to find peer IPA data, WAIPA survey results, and UNCTAD FDI statistics for comparison." <commentary> The benchmark agent searches WAIPA, UNCTAD, and OECD sources for IPA performance data, digital maturity surveys, and published case studies from leading IPAs. It supplements the built-in sample profiles with real-world data points. </commentary> </example>

Use this agent when the user needs to discover external data sources for IPA data needs — APIs, open data portals, statistical databases, commercial data providers. This agent systematically discovers and catalogues data sources that populate IPAD entities across the 8-layer stack. <example> Context: User running /ipad-kit:data-sources for their IPA and needs comprehensive external data source discovery beyond the framework's built-in source references. user: "/ipad-kit:data-sources 001" assistant: "I'll launch the datascout agent to discover FDI data sources, economic indicators, and investor databases available for your jurisdiction." <commentary> Data source discovery requires searching UNCTAD, World Bank, IMF, fDi Markets, and jurisdiction-specific open data portals. The datascout maps each discovered source to IPAD entities and evaluates quality, cost, and access method. </commentary> </example>

Use this agent when the user needs jurisdiction-specific regulatory information — data protection laws, FDI regulations, foreign ownership restrictions, special economic zone rules, or compliance requirements. This agent researches current regulations for the IPA's jurisdiction to inform governance, security, and compliance artifacts. <example> Context: User running /ipad-kit:governance for a UAE IPA and the command needs jurisdiction-specific data protection and FDI regulations. user: "/ipad-kit:governance 001" assistant: "I'll launch the regulatory research agent to find UAE-specific data protection laws (PDPL), FDI regulations, and compliance requirements." <commentary> Regulatory research requires jurisdiction-specific web searches for current laws and regulations. The agent looks for data protection legislation, FDI restrictions, free zone regulations, and employment data rules that affect IPAD governance design and security controls. </commentary> </example>

Use this agent when the user needs technology recommendations for implementing IPAD at their maturity level — BI tools, data platforms, AI/ML services, CRM systems, data catalogues, and integration tools. This agent researches current technology options using cloud provider documentation and vendor information. <example> Context: User running /ipad-kit:roadmap and needs technology platform recommendations for their maturity improvement plan. user: "/ipad-kit:roadmap 001" assistant: "I'll launch the technology research agent to find appropriate technology platforms for your maturity level and budget." <commentary> Technology research benefits from cloud provider MCP servers (AWS Knowledge, Microsoft Learn, Google Developer Knowledge) for authoritative, current documentation on services, pricing, and regional availability. The agent maps technology options to IPAD layers and maturity levels. </commentary> </example>

This skill should be used when the user asks about IPAD data governance, CDA model, data stewardship, data quality dimensions, DAMA-DMBOK alignment, metadata management, data catalogue, data contracts, federated governance, or data classification. Triggers: data governance, CDA model, stewardship, data quality, DAMA, metadata, data catalogue, data contract, federated governance, data classification, data owner, data steward.

This skill should be used when the user asks about the investment funnel, CISF framework, FDI lifecycle, investor targeting, facilitation, after-care, promotion lifecycle, investment growth stages, or IPA business domains. Triggers: investment funnel, CISF, FDI, investor targeting, facilitation, after-care, promotion lifecycle, investment growth, attract, leads, expansion, advocacy, outreach, pipeline.

This skill should be used when the user asks about IPAD maturity levels, L1-L5 assessment, maturity scoring, progression criteria, transition requirements, maturity dimensions, or maturity benchmarks. Triggers: maturity level, L1-L5, assessment, maturity score, progression criteria, transition criteria, maturity dimension, ad-hoc, centralised, federated, cognitive, autonomous, data maturity.

This skill should be used when the user asks about GSIM, GSBPM, SDMX, statistical processes, data collection methodology, dissemination standards, statistical variables, classifications, code lists, or UN statistical frameworks. Triggers: GSIM, GSBPM, SDMX, statistical process, data collection, dissemination, statistical variable, classification, code list, UN statistics.

10 hooks across 5 events