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Collaborative Ideation

  • 141 installs
  • 38 repo stars
  • Updated January 5, 2026
  • qodex-ai/ai-agent-skills

Brainstorm product directions, user problems, and solution sketches with an agent before locking scope, prototypes, or engineering estimates.

About

collaborative-ideation from qodex-ai/ai-agent-skills runs structured discovery sessions where agents help humans explore problems, generate solution concepts, capture assumptions, and narrow ideas before prototyping, scoping, or writing landing-page copy.

  • Facilitates structured brainstorming with human-agent pairs
  • Captures problem statements, personas, and solution themes
  • Surfaces assumptions and open questions early
  • Feeds downstream validation with prioritized concepts

Collaborative Ideation by the numbers

  • 141 all-time installs (skills.sh)
  • +1 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #1,210 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/qodex-ai/ai-agent-skills --skill collaborative-ideation

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Listed on Skillselion
Installs141
repo stars38
Last updatedJanuary 5, 2026
Repositoryqodex-ai/ai-agent-skills

What it does

Brainstorm product directions, user problems, and solution sketches with an agent before locking scope, prototypes, or engineering estimates.

Files

SKILL.mdMarkdownGitHub ↗

Brainstorming Ideas Into Designs

Overview

Help turn ideas into fully formed designs and specs through natural collaborative dialogue.

Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design in small sections (200-300 words), checking after each section whether it looks right so far.

The Process

Understanding the idea:

  • Check out the current project state first (files, docs, recent commits)
  • Ask questions one at a time to refine the idea
  • Prefer multiple choice questions when possible, but open-ended is fine too
  • Only one question per message - if a topic needs more exploration, break it into multiple questions
  • Focus on understanding: purpose, constraints, success criteria

Exploring approaches:

  • Propose 2-3 different approaches with trade-offs
  • Present options conversationally with your recommendation and reasoning
  • Lead with your recommended option and explain why

Presenting the design:

  • Once you believe you understand what you're building, present the design
  • Break it into sections of 200-300 words
  • Ask after each section whether it looks right so far
  • Cover: architecture, components, data flow, error handling, testing
  • Be ready to go back and clarify if something doesn't make sense

After the Design

Documentation:

  • Write the validated design to docs/plans/YYYY-MM-DD-<topic>-design.md
  • Use elements-of-style:writing-clearly-and-concisely skill if available
  • Commit the design document to git

Implementation (if continuing):

  • Ask: "Ready to set up for implementation?"
  • Use superpowers:using-git-worktrees to create isolated workspace
  • Use superpowers:writing-plans to create detailed implementation plan

Key Principles

  • One question at a time - Don't overwhelm with multiple questions
  • Multiple choice preferred - Easier to answer than open-ended when possible
  • YAGNI ruthlessly - Remove unnecessary features from all designs
  • Explore alternatives - Always propose 2-3 approaches before settling
  • Incremental validation - Present design in sections, validate each
  • Be flexible - Go back and clarify when something doesn't make sense

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