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Idea To Action

Community
krishnakanthb13
idea_to_action

Transforms abstract ideas into execution-ready systems. Follows the Brainstorm → Filter → Execute pipeline with a "Reality-First" founder mindset.

Overview

Publisherkrishnakanthb13
Repositoryantigravity_global_skills
Skill nameidea_to_action
Stars
66
Forks
11
Bundled files
Instructions only
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 krishnakanthb13 on GitHub. Read the source before you install it.

Installation

Install the Idea To Action 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/krishnakanthb13/antigravity_global_skills/tree/main/idea_to_action
  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/krishnakanthb13/antigravity_global_skills.git /tmp/antigravity_global_skills
mkdir -p .claude/skills
cp -r /tmp/antigravity_global_skills/idea_to_action .claude/skills/idea_to_action
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Idea To Action 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 Idea To Action 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 Idea To Action 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.

Idea to Action

Use this skill when the user has a raw idea and wants to convert it into a concrete, executable plan.

Core Philosophy

  • Brainstorm → Filter → Execute: Don't just list ideas; curate them for viability.
  • From Zero to System: Move from "what if" to "how it works".
  • Think Like a Founder: Focus on ROI, feasibility, and speed to market.
  • Reality-First Mode: Ignore the hype; focus on what is actually buildable today.

Inputs

  • The Idea: The raw concept or "What if..." statement from the user.

Workflow

Phase 1: The Founder's Summary

  • Input: Listen to the user's raw idea.
  • Action: Summarize the core value proposition.
    • Constraint: Filter out feature creep. focus on the specific problem being solved.
    • Output: A clear, concise statement of "What is this?" and "Why does it assume it will work?"

Phase 2: Deep Dive (System Architecture)

  • Action: Expand the summary into a system view.
    • What are the moving parts?
    • What are the inputs and outputs?
    • What is the "secret sauce" or key differentiator?

Phase 3: The Execution Plan

Convert the system view into actionable steps. Provide the following sections:

  1. Actionable Steps: A checklist of 5-10 concrete items to start right now.
  2. Schedule: A tentative timeline (e.g., "Day 1: Prototype", "Day 3: User Tests").
  3. Risk Analysis:
    • Technical Risks: What might break?
    • Market/Product Risks: Will anyone care?
  4. Multilevel Explanations:
    • The Pitch (ELI5): How to explain it to a 5-year-old (or an investor).
    • The Specs (Technical): How to explain it to an engineer.

Advanced Ideation Framework (Divergent & Convergent)

If the idea is still vague or needs stress-testing, apply this structured process:

  1. Understand & Expand (Divergent): Restate the idea as a crisp "How Might We" statement. Ask sharpening questions (Who is this for? What does success look like?). Generate variations using lenses like Inversion, Constraint Removal, and 10x Scale.
  2. Evaluate & Converge: Cluster the generated ideas into distinct directions. Stress-test each direction against User Value, Feasibility, and Differentiation.
  3. Surface Hidden Assumptions: Explicitly name what you are betting is true, what could kill the idea, and what you are choosing to ignore.
  4. The "Not Doing" List: Produce a concrete MVP scope, but more importantly, list what is explicitly NOT being built and why. Focus is about saying no to good ideas.

Frequently asked questions

What does the Idea To Action AI skill do?

Transforms abstract ideas into execution-ready systems. Follows the Brainstorm → Filter → Execute pipeline with a "Reality-First" founder mindset.

Why use Idea To Action on TypingMind?

Because you install it once and use it with any model. Idea To Action 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 Idea To Action in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/krishnakanthb13/antigravity_global_skills/tree/main/idea_to_action. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Idea To Action?

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 Idea To Action?

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

Is the Idea To Action AI skill free?

It is published on GitHub by krishnakanthb13. Check the repository for licensing terms. 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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