knowns.task.brainstorm — community knowns.task.brainstorm, tulie_lab, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Advanced AI Agents needing structured task analysis and design capabilities through Next.js, Express, and Prisma. LMS Platform - The Tulie Lab (Next.js + Express + Prisma)

tung68nt tung68nt
[0]
[0]
Updated: 3/1/2026

Agent Capability Analysis

The knowns.task.brainstorm skill by tung68nt is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Advanced AI Agents needing structured task analysis and design capabilities through Next.js, Express, and Prisma.

Core Value

Empowers agents to convert vague requirements into concrete designs through systematic questioning, utilizing protocols like multiple-choice preferences and single-question-at-a-time exploration, all within the Tulie Lab ecosystem.

Capabilities Granted for knowns.task.brainstorm

Structuring ambiguous project requirements
Generating concrete task designs through phased questioning
Exploring approaches for solution development

! Prerequisites & Limits

  • Requires Tulie Lab LMS platform integration
  • Dependent on Express and Prisma for backend functionality
  • Limited to Next.js for frontend implementation
Labs Demo

Browser Sandbox Environment

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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

knowns.task.brainstorm

Install knowns.task.brainstorm, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Brainstorming for Tasks

Convert vague requirements into concrete design through structured questioning and exploration.

Announce at start: "I'm using the knowns.task.brainstorm skill to explore approaches."

Core principle: UNDERSTAND THE PROBLEM BEFORE PROPOSING SOLUTIONS.

The Process

Phase 1: Discovery

One question at a time. Don't overwhelm with multiple questions.

Prefer multiple-choice when possible:

Which approach do you prefer?
A) Quick solution with trade-offs
B) Comprehensive solution, more effort
C) Something else (describe)

Questions to clarify:

  • What problem are we solving?
  • Who are the users/stakeholders?
  • What are the constraints?
  • What does success look like?

Phase 2: Research Existing Patterns

json
1// Search docs for related patterns 2mcp__knowns__search_docs({ "query": "<topic>" }) 3 4// Check how similar things were done 5mcp__knowns__search_tasks({ "query": "<keywords>" })

Learn from history - completed tasks often contain implementation insights.

Phase 3: Explore Approaches

Present 2-3 options with trade-offs:

markdown
1## Option A: [Name] 2- **Approach**: Brief description 3- **Pros**: What's good 4- **Cons**: What's challenging 5- **Effort**: Low/Medium/High 6 7## Option B: [Name] 8- **Approach**: Brief description 9- **Pros**: What's good 10- **Cons**: What's challenging 11- **Effort**: Low/Medium/High

Lead with your recommendation and explain why.

Phase 4: Validate and Document

After agreement:

  • Summarize the chosen approach
  • Identify potential risks
  • Define acceptance criteria

If creating a new task:

json
1mcp__knowns__create_task({ 2 "title": "<title>", 3 "description": "Based on brainstorm: <key decisions>", 4 "acceptanceCriteria": ["Criterion 1", "Criterion 2"] 5})

If updating existing task:

json
1mcp__knowns__update_task({ 2 "taskId": "$ARGUMENTS", 3 "description": "Updated based on brainstorm..." 4})

When to Use This Skill

Good candidates:

  • Vague requirements ("make it faster", "improve UX")
  • Multiple valid approaches exist
  • Significant effort involved
  • New territory for the project

Skip for:

  • Clear, well-defined tasks
  • Bug fixes with obvious solutions
  • Simple additions following existing patterns

Red Flags

You're doing it wrong if:

  • Proposing solutions before understanding the problem
  • Asking too many questions at once
  • Not researching existing patterns first
  • Skipping trade-off analysis

Remember

  • One question at a time
  • Research existing patterns first
  • Present options with trade-offs
  • Lead with your recommendation
  • Document the decision

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is knowns.task.brainstorm?

Perfect for Advanced AI Agents needing structured task analysis and design capabilities through Next.js, Express, and Prisma. LMS Platform - The Tulie Lab (Next.js + Express + Prisma)

How do I install knowns.task.brainstorm?

Run the command: npx killer-skills add tung68nt/tulie_lab. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for knowns.task.brainstorm?

Key use cases include: Structuring ambiguous project requirements, Generating concrete task designs through phased questioning, Exploring approaches for solution development.

Which IDEs are compatible with knowns.task.brainstorm?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for knowns.task.brainstorm?

Requires Tulie Lab LMS platform integration. Dependent on Express and Prisma for backend functionality. Limited to Next.js for frontend implementation.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add tung68nt/tulie_lab. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use knowns.task.brainstorm immediately in the current project.

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