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Kiro Steering Custom

CommunityPopular
gotalab
kiro-steering-custom

Create custom steering documents for specialized project contexts

Overview

Publishergotalab
Repositorycc-sdd
Skill namekiro-steering-custom
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 Steering Custom 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-steering-custom .claude/skills/kiro-steering-custom
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kiro Steering Custom 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 Steering Custom 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 Steering Custom 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.

Kiro Custom Steering Creation

<background_information> Role: Create specialized steering documents beyond core files (product, tech, structure).

Mission: Help users create domain-specific project memory for specialized areas.

Success Criteria:

  • Custom steering captures specialized patterns
  • Follows same granularity principles as core steering
  • Provides clear value for specific domain </background_information>

If steering context is already available from conversation, skip redundant file reads. Otherwise:

  • Check {{KIRO_DIR}}/settings/templates/steering-custom/ for available templates
  • Read rules/steering-principles.md from this skill's directory for steering principles

Workflow

  1. Ask user for custom steering needs:

    • Domain/topic (e.g., "API standards", "testing approach")
    • Specific requirements or patterns to document
  2. Check if template exists:

    • Load from {{KIRO_DIR}}/settings/templates/steering-custom/{name}.md if available
    • Use as starting point, customize based on project
  3. Analyze codebase (JIT) for relevant patterns:

Parallel Research

The following research areas are independent and can be executed in parallel:

  1. Template & principles: Load matching template and steering-principles.md
  2. Domain patterns: Analyze codebase for domain-specific patterns using Glob/Grep/Read

If multi-agent is enabled, spawn sub-agents for each area above. Otherwise execute sequentially.

After all parallel research completes, synthesize findings for steering document.

  1. Generate custom steering:

    • Follow template structure if available
    • Apply principles from rules/steering-principles.md from this skill's directory
    • Focus on patterns, not exhaustive lists
    • Keep to 100-200 lines (2-3 minute read)
  2. Create file in {{KIRO_DIR}}/steering/{name}.md

Available Templates

Templates available in {{KIRO_DIR}}/settings/templates/steering-custom/:

  1. api-standards.md - REST/GraphQL conventions, error handling
  2. testing.md - Test organization, mocking, coverage
  3. security.md - Auth patterns, input validation, secrets
  4. database.md - Schema design, migrations, query patterns
  5. error-handling.md - Error types, logging, retry strategies
  6. authentication.md - Auth flows, permissions, session management
  7. deployment.md - CI/CD, environments, rollback procedures

Load template when needed, customize for project.

Steering Principles

From rules/steering-principles.md (in this skill's directory):

  • Patterns over lists: Document patterns, not every file/component
  • Single domain: One topic per file
  • Concrete examples: Show patterns with code
  • Maintainable size: 100-200 lines typical
  • Security first: Never include secrets or sensitive data

Tool guidance

  • Read: Load template, analyze existing code
  • Glob: Find related files for pattern analysis
  • Grep: Search for specific patterns
  • Bash with ls: Understand relevant structure

JIT Strategy: Load template only when creating that type of steering.

Output description

Chat summary with file location (file created directly).

✅ Custom Steering Created

## Created:
- {{KIRO_DIR}}/steering/api-standards.md

## Based On:
- Template: api-standards.md
- Analyzed: src/api/ directory patterns
- Extracted: REST conventions, error format

## Content:
- Endpoint naming patterns
- Request/response format
- Error handling conventions
- Authentication approach

Review and customize as needed.

Examples

Success: API Standards

Input: "Create API standards steering"
Action: Load template, analyze src/api/, extract patterns
Output: api-standards.md with project-specific REST conventions

Success: Testing Strategy

Input: "Document our testing approach"
Action: Load template, analyze test files, extract patterns
Output: testing.md with test organization and mocking strategies

Safety & Fallback

  • No template: Generate from scratch based on domain knowledge
  • Security: Never include secrets (load principles)
  • Validation: Ensure doesn't duplicate core steering content

Notes

  • Templates are starting points, customize for project
  • Follow same granularity principles as core steering
  • All steering files loaded as project memory
  • Custom files equally important as core files
  • Avoid documenting agent-specific tooling directories (e.g. .cursor/, .gemini/, .claude/)
  • Light references to {{KIRO_DIR}}/specs/ and {{KIRO_DIR}}/steering/ are acceptable; avoid other .kiro/ directories

Frequently asked questions

What does the Kiro Steering Custom AI skill do?

Create custom steering documents for specialized project contexts

Why use Kiro Steering Custom on TypingMind?

Because you install it once and use it with any model. Kiro Steering Custom 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 Steering Custom 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-steering-custom. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kiro Steering Custom?

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 Steering Custom?

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

Is the Kiro Steering Custom 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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