brief

Convert chaotic input into structured drafts and clarifying questions.

3|1|Updated Mar 2, 2026

Search Tags:#task management #communication #clarity #decoding #structuring #input processing

Ready to run

npx skills add https://github.com/denniscalazans/denniscalazans-plugins --skill brief-denniscalazans

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: brief
Source: https://github.com/denniscalazans/denniscalazans-plugins/tree/main/plugins/dc/skills/brief
Command: npx skills add https://github.com/denniscalazans/denniscalazans-plugins --skill brief-denniscalazans

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill transforms messy, unstructured, or chaotic input (like voice transcriptions or brain dumps) into clear, actionable output, ensuring no user intent is lost.

Core Features & Use Cases

Input Decoding: Handles voice transcriptions, fast typing, mixed languages, typos, and fragmented thoughts.
Task Classification: Identifies the user's intent (BUILD, FIX, PLAN, etc.) and confidence level needed.
Drafting & Clarification: Creates an initial structured draft and asks targeted questions to resolve ambiguities.
Use Case: A user dictates a stream of consciousness about a new feature idea, including technical requirements, design thoughts, and potential blockers. This Skill structures the input into a clear brief, identifies missing details, and asks specific questions to move forward.

Quick Start

Use the brief skill to structure my messy thoughts about the new user onboarding flow.

Frequently Asked Questions about brief

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

FAQPage Schema

How do I structure messy voice transcriptions into clear task briefs?▼

Structuring messy voice transcriptions involves decoding fragmented input, classifying task intent, and drafting actionable briefs. This skill captures user signals from chaotic brain dumps and asks targeted questions to resolve ambiguities before generating structured output.

Can I use this to process mixed language input and fragmented thoughts?▼

Processing mixed language input and fragmented thoughts is fully supported. The skill decodes typos, fast typing, and transcribed text by differentiating signal from noise, ensuring all user intent is captured accurately for downstream task classification.

What is the best way to classify unstructured planning notes by task type?▼

Classifying unstructured planning notes by task type requires decoding user intent and assigning categories like BUILD, PLAN, or FIX. This skill analyzes chaotic input to determine the required confidence level and adapts the output format to match the specific task requirements.

How to draft actionable output from a chaotic stream of consciousness?▼

Drafting actionable output from a chaotic stream of consciousness requires creating an initial structured draft and asking targeted clarifying questions. This skill processes transcribed input to identify missing details, ensuring all ambiguities are resolved through targeted interaction.

Does this approach work for both technical code requirements and general writing tasks?▼

This approach works for technical code requirements, general writing, planning, and research tasks. The skill handles any task type by using natural language understanding to adapt output formats to the specific task requirements and differentiate signal from noise.

When should I not use automated input decoding for unstructured text?▼

Automated input decoding for unstructured text should not be used when the source material lacks any discernible user intent or signal. If the input relies entirely on unstated external context that cannot be resolved through targeted clarifying questions, the structuring process will fail.