dictation

Correct speech-to-text errors and normalize technical terminology in dictation transcripts.

3|1|Updated Apr 12, 2026

Search Tags:#technical writing #speech-to-text #dictation #clarity improvement #documentation editing #glossary compliance #terminology correction

Ready to run

npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill dictation-cogni-ai-ou

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dictation
Source: https://github.com/Cogni-AI-OU/cogni-ai-agent-skills/tree/main/dictation
Command: npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill dictation-cogni-ai-ou

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Fixes speech-to-text mistakes in technical writing by correcting misrecognized terms, enforcing project glossary wording, and improving clarity without changing intent.

Core Features & Use Cases

Glossary-aligned correction of technical terminology and acronyms to match project conventions.
Consistent formatting rules for compound modifiers (e.g., pull-request, cache-memory) and engine/product capitalization (e.g., GitHub Copilot, Claude, Gemini).
Cleanup of filler words and redundant phrasing while preserving meaning, including guardrails to avoid “over-correcting” code-like or literal strings.

Quick Start

Provide the raw dictation text to the AI and ask it to return a corrected, clearer version that follows the project glossary and formatting rules.

Frequently Asked Questions about dictation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I fix speech-to-text errors in technical writing transcripts?▼

To fix speech-to-text errors in technical writing, apply glossary-compliant terminology correction and formatting normalization to refine misrecognized terms, unclear phrasing, and filler words while preserving the original intent.

What is the best way to normalize technical terminology and formatting in draft documentation?▼

The best way to normalize technical terminology and formatting in draft documentation is to enforce project glossary rules, ensuring correct hyphenation for compound modifiers and proper capitalization for engine and product names.

How do I clean up filler words in dictation transcripts without changing the meaning?▼

To clean up filler words in dictation transcripts without changing meaning, apply clarity improvements that remove redundant phrasing while using guardrails to avoid over-correcting code-like or literal strings.

Can I use automated correction to enforce glossary compliance for technical acronyms?▼

Yes, you can use automated correction to enforce glossary compliance for technical acronyms by aligning misrecognized terms with project conventions, ensuring consistent wording across all technical documentation and workflow descriptions.

Does dictation correction alter literal strings or code-like text during cleanup?▼

Dictation correction avoids altering literal strings or code-like text during cleanup by applying guardrails that prevent over-correction, ensuring that technical commands and code snippets remain exactly as dictated.

When should I not use speech-to-text correction for documentation editing?▼

You should not use speech-to-text correction for documentation editing when you need step-by-step planning or code generation, as this process focuses strictly on text correction, terminology fixes, and formatting normalization.