trellis-brainstorm

Name: trellis-brainstorm
Availability: InStock
Author: karben233

Facilitate structured brainstorming sessions to define MVP requirements.

2.3k|139|Updated Apr 4, 2025

Search Tags:#task management #requirements discovery #AI-driven development #minimum viable product #collaborative brainstorming

Ready to run

npx skills add https://github.com/Karben233/bili-hardcore --skill trellis-brainstorm-karben233

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trellis-brainstorm
Source: https://github.com/Karben233/bili-hardcore/tree/main/.claude/skills/trellis-brainstorm
Command: npx skills add https://github.com/Karben233/bili-hardcore --skill trellis-brainstorm-karben233

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires task.py, trellis-research, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill facilitates structured brainstorming sessions for collaborative requirements discovery, helping teams converge on a clear and actionable MVP scope for new features or complex tasks.

Core Features & Use Cases

Structured Brainstorming: Guides the user through a step-by-step process to define requirements, consider technical choices, and converge on a Minimum Viable Product (MVP).
Codebase Exploration: Utilizes AI to automatically inspect the codebase for context and patterns.
Research Integration: Incorporates research findings into the brainstorming process to inform decisions.

Quick Start

Start a new brainstorming session by typing: /trellis:start

Frequently Asked Questions about trellis-brainstorm

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

FAQPage Schema

How do I facilitate collaborative requirements discovery for a new feature MVP?▼

Collaborative requirements discovery is facilitated through structured AI-driven questions and answers, guiding teams step-by-step to define requirements and converge on a clear Minimum Viable Product scope.

How does AI-driven brainstorming integrate codebase exploration into task management?▼

AI-driven brainstorming integrates codebase exploration by automatically inspecting the codebase for context and patterns, using these findings to inform technical choices and manage the task lifecycle.

What is the best way to structure brainstorming sessions for complex tasks with diverse inputs?▼

The best way to structure brainstorming for complex tasks is using a guided process that handles diverse inputs, spawns sub-agents for in-depth research, and incorporates findings directly into decisions.

Do I need knowledge of AI research practices to use structured brainstorming for requirements discovery?▼

Yes, handling complex tasks with diverse inputs requires knowledge of task management and AI research practices to effectively manage the task lifecycle and sub-agent research integration.

How to start a brainstorming session for defining a Minimum Viable Product?▼

To start a brainstorming session for defining an MVP, initiate the process using the designated start command, which triggers the structured AI-driven question and answer workflow.