Spec Creation

OrganizationPopular

a5c-ai

spec-creation

Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.

Overview

Publisher	a5c-ai
Repository	`babysitter`
Skill name	`spec-creation`
Stars	1.8K
Forks	106
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 a5c-ai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/claudekit/skills/spec-creation

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/a5c-ai/babysitter.git /tmp/babysitter
mkdir -p .claude/skills
cp -r /tmp/babysitter/library/methodologies/claudekit/skills/spec-creation .claude/skills/spec-creation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spec Creation 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 Spec Creation 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 Spec Creation 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.

Identify existing patterns and conventions
Map dependencies and integration points
Review existing tests for testing patterns
Document technical constraints

Specification Components

Scope and Non-Goals

Clear boundaries on what the feature does and does not include.

Functional Requirements

Detailed requirements with unique identifiers for tracking.

Acceptance Criteria

Testable, measurable criteria for each requirement.

Architecture Decisions

Decision records with rationale and alternatives considered.

Implementation Plan

Phased approach ordered by dependency, not priority.

Risk Analysis

Identified risks with probability, impact, and mitigation strategies.

API Contracts and Data Models

Interface definitions and data model schemas.

Test Strategy

Mapping of unit, integration, and E2E tests to requirements.

Output

Specifications are saved to docs/specs/{feature}.md for reference by the execution workflow.

When to Use

/spec:create [feature] slash command
Before starting a new feature implementation
When planning complex multi-module changes

Processes Used By

claudekit-spec-workflow (create mode)

Frequently asked questions

What does the Spec Creation AI skill do?

Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.

Why use Spec Creation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/claudekit/skills/spec-creation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Spec Creation?

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 Spec Creation?

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

Is the Spec Creation AI skill free?

Yes. It is published on GitHub by a5c-ai 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Specification Components

Scope and Non-Goals

Functional Requirements

Acceptance Criteria

Architecture Decisions

Implementation Plan

Risk Analysis

API Contracts and Data Models

Test Strategy

Output

When to Use

Processes Used By

Frequently asked questions

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