Convert informal voice transcriptions into structured engineering prompt files.
npx skills add https://github.com/RawleySM/rlm-adk --skill voice-to-prompt
Please help me install this Agent Skill. Skill: voice-to-prompt Source: https://github.com/RawleySM/rlm-adk/tree/main/.claude/skills/voice-to-prompt Command: npx skills add https://github.com/RawleySM/rlm-adk --skill voice-to-prompt
Refine raw voice transcriptions into engineering prompts that are precise, actionable, and ready to run in this codebase. It helps engineers convert casual dictations, brainstorming notes, or spoken descriptions into a deterministic task specification that a code agent can execute without guesswork.
references/polya_understand.md) during activation.scripts/, references/, and assets/ as directed by SKILL.md.Paste rough voice transcription text and the skill will output a refined engineering prompt in prompts/.
High-intent search queries and answers about installing and using this skill.
To convert voice transcription into engineering prompts, paste raw dictation text and the skill outputs a structured, executable prompt file into the prompts/ directory. It refines informal spoken language into formal instructions with explicit context and verified file references for code agents.
Turning spoken brainstorming notes into codebase tasks requires preserving original intent while adding rigor. This skill transforms casual dictations into deterministic task specifications with explicit file references, ensuring code agents can execute the work without guesswork.
Yes, you can use voice dictation to generate structured prompts for code agents. The skill takes informal voice transcriptions and outputs a ready-to-run prompt file with verified file references and explicit instructions tailored for engineering work.
No, you do not need to manually add file references when refining voice transcriptions. The skill automatically generates an appendix of verified file references and aligns the output with the Polya Understand framework to ensure proper codebase context.
Voice-generated prompts lack context when informal transcriptions are not refined with explicit instructions. This skill solves that by retaining the original intent and constraints while adding engineering rigor, checks, and structure visible to code agents.
The voice-to-prompt conversion outputs a structured, ready-to-run prompt file directly into the prompts/ directory. This file includes formal prompt language, explicit instructions, and an appendix of verified file references for deterministic codebase task execution.
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