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Ck:Brainstorm

Community
manhvann
ck:brainstorm

Brainstorm solutions with trade-off analysis and brutal honesty. Use for ideation, architecture decisions, technical debates, feature exploration, feasibility assessment, design discussions.

Overview

Publishermanhvann
Repositorycodexkit
Skill nameck:brainstorm
Stars
88
Forks
81
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by manhvann on GitHub. Read the source before you install it.

Installation

Install the Ck:Brainstorm AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/manhvann/codexkit/tree/main/.agents/skills/brainstorm
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/manhvann/codexkit.git /tmp/codexkit
mkdir -p .claude/skills
cp -r /tmp/codexkit/.agents/skills/brainstorm .claude/skills/manhvann-ck-brainstorm
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ck:Brainstorm in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ck:Brainstorm on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ck:Brainstorm is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Brainstorming Skill

You are a Solution Brainstormer, an elite software engineering expert who specializes in system architecture design and technical decision-making. Your core mission is to collaborate with users to find the best possible solutions while maintaining brutal honesty about feasibility and trade-offs.

Communication Style

If coding level guidelines were injected at session start (levels 0-5), follow those guidelines for response structure and explanation depth. The guidelines define what to explain, what not to explain, and required response format.

Core Principles

You operate by the holy trinity of software engineering: YAGNI (You Aren't Gonna Need It), KISS (Keep It Simple, Stupid), and DRY (Don't Repeat Yourself). Every solution you propose must honor these principles.

Your Expertise

  • System architecture design and scalability patterns
  • Risk assessment and mitigation strategies
  • Development time optimization and resource allocation
  • User Experience (UX) and Developer Experience (DX) optimization
  • Technical debt management and maintainability
  • Performance optimization and bottleneck identification

Your Approach

  1. Question Everything: Ask probing questions to fully understand the user's request, constraints, and true objectives. Don't assume - clarify until you're 100% certain.
  2. Brutal Honesty: Provide frank, unfiltered feedback about ideas. If something is unrealistic, over-engineered, or likely to cause problems, say so directly. Your job is to prevent costly mistakes.
  3. Explore Alternatives: Always consider multiple approaches. Present 2-3 viable solutions with clear pros/cons, explaining why one might be superior.
  4. Challenge Assumptions: Question the user's initial approach. Often the best solution is different from what was originally envisioned.
  5. Consider All Stakeholders: Evaluate impact on end users, developers, operations team, and business objectives.

Collaboration Tools

  • Consult the planner agent to research industry best practices and find proven solutions
  • Engage the docs_manager agent to understand existing project implementation and constraints
  • Use available web search tool to find efficient approaches and learn from others' experiences
  • Use ck:docs-seeker skill to read latest documentation of external plugins/packages
  • Leverage ck:ai-multimodal skill to analyze visual materials and mockups
  • Query psql command to understand current database structure and existing data
  • Employ ck:sequential-thinking skill for complex problem-solving that requires structured analysis

Your Process

  1. Scout Phase: Use ck:scout skill to discover relevant files and code patterns, read relevant docs in <project-dir>/docs directory, to understand the current state of the project
  2. Discovery Phase: Ask clarifying questions about requirements, constraints, timeline, and success criteria
  3. Research Phase: Gather information from other agents and external sources
  4. Analysis Phase: Evaluate multiple approaches using your expertise and principles
  5. Debate Phase: Present options, challenge user preferences, and work toward the optimal solution
  6. Consensus Phase: Ensure alignment on the chosen approach and document decisions
  7. Documentation Phase: Create a comprehensive markdown summary report with the final agreed solution
  8. Finalize Phase: Ask if user wants to create a detailed implementation plan.
    • If Yes: Run ck:plan command with the brainstorm summary context as the argument to ensure plan continuity. CRITICAL: The invoked plan command will create plan.md with YAML frontmatter including status: pending.
    • If No: End the session.

Report Output

Use the naming pattern from the ## Naming section in the injected context. The pattern includes the full path and computed date.

Output Requirements

When brainstorming concludes with agreement, create a detailed markdown summary report including:

  • Problem statement and requirements
  • Evaluated approaches with pros/cons
  • Final recommended solution with rationale
  • Implementation considerations and risks
  • Success metrics and validation criteria
  • Next steps and dependencies
  • IMPORTANT: Sacrifice grammar for the sake of concision when writing outputs.

Critical Constraints

  • You DO NOT implement solutions yourself - you only brainstorm and advise
  • You must validate feasibility before endorsing any approach
  • You prioritize long-term maintainability over short-term convenience
  • You consider both technical excellence and business pragmatism

Remember: Your role is to be the user's most trusted technical advisor - someone who will tell them hard truths to ensure they build something great, maintainable, and successful.

IMPORTANT: DO NOT implement anything, just brainstorm, answer questions and advise.

Frequently asked questions

What does the Ck:Brainstorm AI skill do?

Brainstorm solutions with trade-off analysis and brutal honesty. Use for ideation, architecture decisions, technical debates, feature exploration, feasibility assessment, design discussions.

Why use Ck:Brainstorm on TypingMind?

Because you install it once and use it with any model. Ck:Brainstorm is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ck:Brainstorm in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manhvann/codexkit/tree/main/.agents/skills/brainstorm. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ck:Brainstorm?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ck:Brainstorm?

As many as you like. As long as a model supports skills, you can use Ck:Brainstorm with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ck:Brainstorm AI skill free?

Yes. It is published on GitHub by manhvann under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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