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Idea To Spec

Organization
DevelopersGlobal
idea-to-spec

Converts vague ideas into concrete, testable specifications with acceptance criteria. No implementation begins without a spec.

Overview

PublisherDevelopersGlobal
Repositoryai-agent-skills
Skill nameidea-to-spec
Stars
212
Forks
33
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 DevelopersGlobal on GitHub. Read the source before you install it.

Installation

Install the Idea To Spec 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/DevelopersGlobal/ai-agent-skills/tree/main/skills/idea-to-spec
  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/DevelopersGlobal/ai-agent-skills.git /tmp/ai-agent-skills
mkdir -p .claude/skills
cp -r /tmp/ai-agent-skills/skills/idea-to-spec .claude/skills/idea-to-spec
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Idea To Spec 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 Spec 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 Spec 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.

Overview

Vague ideas produce vague implementations. This skill transforms any idea — no matter how fuzzy — into a concrete specification with clear scope, acceptance criteria, and non-goals.

When to Use

  • At the start of any new feature
  • When a request is ambiguous
  • Before creating tasks or writing any code

Process

Step 1: Capture the Core Problem

  1. Write: "Users currently can't [do X], which causes [pain Y]."
  2. Identify: who has this problem? How often? What's the impact?
  3. Distinguish problem from solution — don't spec a solution until the problem is understood.

Verify: You can state the problem without mentioning any implementation.

Step 2: Define Success

  1. Write 3–7 acceptance criteria in this format:
    Given [context]
    When [action]
    Then [outcome]
  2. Each criterion must be binary — either it passes or it doesn't.
  3. Include negative cases: "Given X, the system must NOT do Y."

Verify: A QA engineer can test each criterion without asking for clarification.

Step 3: Define Scope

  1. In scope: List what is explicitly included.
  2. Out of scope: List what is explicitly excluded — as important as what's included.
  3. Open questions: List any decisions that still need resolution before implementation.

Verify: The out-of-scope list has at least 2 items.

Step 4: Define Non-Functional Requirements

  1. Performance: response time, throughput, scale targets.
  2. Security: auth requirements, data sensitivity.
  3. Reliability: uptime SLA, acceptable error rate.

Verification

  • Problem statement written without mentioning implementation
  • Acceptance criteria in Given/When/Then format
  • Each criterion is binary (pass/fail)
  • Explicit out-of-scope list
  • Open questions listed

References

Frequently asked questions

What does the Idea To Spec AI skill do?

Converts vague ideas into concrete, testable specifications with acceptance criteria. No implementation begins without a spec.

Why use Idea To Spec on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DevelopersGlobal/ai-agent-skills/tree/main/skills/idea-to-spec. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Idea To Spec?

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 Spec?

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

Is the Idea To Spec AI skill free?

Yes. It is published on GitHub by DevelopersGlobal 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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