Organize AI tool schemas into logical directories with enforced JSON conventions.
npx skills add https://github.com/ricardocidale/hbg-screens --skill tool-schemas
Please help me install this Agent Skill. Skill: tool-schemas Source: https://github.com/ricardocidale/hbg-screens/tree/main/.claude/skills/tool-schemas Command: npx skills add https://github.com/ricardocidale/hbg-screens --skill tool-schemas
This Skill provides a structured system for defining, organizing, and managing the schemas for AI tools, ensuring consistency and clarity in how tools interact with AI models.
Use the tool-schemas skill to understand how to add a new schema for a property finder tool.
High-intent search queries and answers about installing and using this skill.
JSON schemas for AI tooling workflows are structured by enforcing consistent naming, parameter definitions, and file organization into domain-specific directories like analysis, financing, and research.
The best way to organize AI tool schemas for financial analysis is grouping them into logical domain directories using a master reference for financial standards to ensure discoverability and integration consistency.
Yes, you can use a single JSON schema convention across different AI domains by enforcing uniform structure and naming conventions, while maintaining a master reference for specialized standards like financing.
To add a new schema definition for a property finder tool, use the tool-schemas skill to determine the required JSON structure and place the definition file in the appropriate domain directory for discoverability.
Structured input and output schemas are needed for AI tools to ensure consistency and clarity in how various domain tools interact with AI models during analysis, validation, and research workflows.
Yes, this schema management approach works without external dependencies, relying entirely on internal JSON schema file conventions and directory structures to define and manage AI tool interactions.
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