Delegate agent tasks using TOON with schema.org vocabulary.
npx skills add https://github.com/rayk/lucid-toolkit --skill use-toon
Please help me install this Agent Skill. Skill: use-toon Source: https://github.com/rayk/lucid-toolkit/tree/main/plugins/luc/skills/use-toon Command: npx skills add https://github.com/rayk/lucid-toolkit --skill use-toon
Use TOON with schema.org vocabulary for prompting and instructing subagents and builtin agents. Use when delegating tasks to agents, structuring agent prompts, or specifying expected response formats. DO NOT use for external API calls or when JSON parsing is required.
Example: Instruct a subagent to perform a SearchAction on a codebase and return results in TOON format, then provide an ItemList as the expectedResult.
High-intent search queries and answers about installing and using this skill.
TOON uses schema.org Action types and @id/@type fields to structure agent prompts with ~30-60% fewer tokens than JSON. Format task descriptions and expected result types in TOON, then pass to agents or subagents for token-efficient, interoperable responses without external API calls.
TOON achieves token efficiency and semantic interoperability using schema.org vocabulary, reducing prompt size by 30-60% compared to JSON while avoiding JSON parsing requirements. TOON works best for agent-to-agent workflows; JSON remains necessary when external APIs require it.
Yes. TOON supports specifying result schemas with @type and expectedResult fields, allowing subagents to return consistent, structured data. Use simple or tabular arrays within TOON to enforce explicit task descriptions and output formats across agent workflows.
Do not use TOON for external API calls or when JSON parsing is required by downstream systems. TOON is designed for agent-to-agent delegation and internal workflow prompting where schema.org vocabulary and token efficiency provide the most value.
Define the agent action using schema.org Action types with @type and @id fields, specify the task in an explicit description, and declare the expectedResult type. TOON formatting ensures consistent, interoperable responses while minimizing token usage in agent-to-agent communication.
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