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Kiro Spec Init

CommunityPopular
gotalab
kiro-spec-init

Initialize a new specification with detailed project description

Overview

Publishergotalab
Repositorycc-sdd
Skill namekiro-spec-init
Stars
3.7K
Forks
283
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 gotalab on GitHub. Read the source before you install it.

Installation

Install the Kiro Spec Init 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.
  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/gotalab/cc-sdd.git /tmp/cc-sdd
mkdir -p .claude/skills
cp -r /tmp/cc-sdd/tools/cc-sdd/templates/agents/antigravity-skills/skills/kiro-spec-init .claude/skills/kiro-spec-init
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kiro Spec Init 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 Kiro Spec Init 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 Kiro Spec Init 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.

Spec Initialization

Execution Steps

  1. Check for Brief: If {{KIRO_DIR}}/specs/{feature-name}/brief.md exists (created by /kiro-discovery), read it. The brief contains problem, approach, scope, and constraints from the discovery session. Use this to pre-fill the project description and skip clarification questions that the brief already answers.
  2. Clarify Intent: The Project Description in requirements.md must contain three elements: (a) who has the problem, (b) current situation, (c) what should change. If a brief.md exists and covers these, skip to step 3. Otherwise, ask the user to clarify before proceeding. Ask as many questions as needed; do not fill in gaps with your own assumptions.
  3. Check Uniqueness: Verify {{KIRO_DIR}}/specs/ for naming conflicts. If the directory already exists with only brief.md (no spec.json), use that directory (discovery created it).
  4. Create Directory: {{KIRO_DIR}}/specs/[feature-name]/ (skip if already exists from discovery)
  5. Initialize Files Using Templates:
    • Read {{KIRO_DIR}}/settings/templates/specs/init.json
    • Read {{KIRO_DIR}}/settings/templates/specs/requirements-init.md
    • Replace placeholders:
      • {{FEATURE_NAME}} → generated feature name
      • {{TIMESTAMP}} → current ISO 8601 timestamp
      • {{PROJECT_DESCRIPTION}} → from brief.md if available, otherwise $ARGUMENTS
      • {{LANG_CODE}} → language code (detect from user's input language, default to en)
    • Write spec.json and requirements.md to spec directory

Important Constraints

  • Do NOT generate requirements, design, or tasks. This skill only creates spec.json and requirements.md.

Output Description

Provide output in the language specified in spec.json with the following structure:

  1. Generated Feature Name: feature-name format with 1-2 sentence rationale
  2. Project Summary: Brief summary (1 sentence)
  3. Created Files: Bullet list with full paths
  4. Next Step: Command block showing /kiro-spec-requirements <feature-name>

Format Requirements:

  • Use Markdown headings (##, ###)
  • Wrap commands in code blocks
  • Keep total output concise (under 250 words)
  • Use clear, professional language per spec.json.language

Safety & Fallback

  • Ambiguous Feature Name: If feature name generation is unclear, propose 2-3 options and ask user to select
  • Template Missing: If template files don't exist in {{KIRO_DIR}}/settings/templates/specs/, report error with specific missing file path and suggest checking repository setup
  • Directory Conflict: If feature name already exists, append numeric suffix (e.g., feature-name-2) and notify user of automatic conflict resolution
  • Write Failure: Report error with specific path and suggest checking permissions or disk space

Frequently asked questions

What does the Kiro Spec Init AI skill do?

Initialize a new specification with detailed project description

Why use Kiro Spec Init on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gotalab/cc-sdd/tree/main/tools/cc-sdd/templates/agents/antigravity-skills/skills/kiro-spec-init. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kiro Spec Init?

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 Kiro Spec Init?

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

Is the Kiro Spec Init AI skill free?

Yes. It is published on GitHub by gotalab 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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