skill-request-parser

To convert a rough skill idea into a structured build prompt, you paste your concept into the parser to generate a block with Trigger, Input, Output, and Constraints. This reformulation provides a clean, paste-ready prompt for skill generation.

Formatting vague concepts into a clean AI prompt involves parsing existing frontmatter to extract the name and description. The tool then structures these details into a single reformulated block with defined triggers, inputs, outputs, and constraints.

Extracting name and description from SKILL.md frontmatter for prompt reformulation is handled automatically by the parser. It reads the metadata to identify the skill's identity and purpose, then formats these details into a structured build request.

Yes, you can use a single block reformulation to reduce ambiguity for AI prompt building. The parser transforms informal ideas into a well-defined structure containing Trigger, Input, Output, and Constraints, minimizing setup time and vagueness.

You need existing frontmatter to generate a paste-ready build prompt because the parser extracts the name and description directly from the SKILL.md metadata. This ensures the reformulated request accurately reflects your original skill concept.