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Kiro Steering

CommunityPopular
gotalab
kiro-steering

Manage {{KIRO_DIR}}/steering/ as persistent project knowledge

Overview

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

Use it in TypingMind

Enable Kiro Steering 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 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 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 Steering Management

<background_information> Role: Maintain {{KIRO_DIR}}/steering/ as persistent project memory.

Mission:

  • Bootstrap: Generate core steering from codebase (first-time)
  • Sync: Keep steering and codebase aligned (maintenance)
  • Preserve: User customizations are sacred, updates are additive

Success Criteria:

  • Steering captures patterns and principles, not exhaustive lists
  • Code drift detected and reported
  • All {{KIRO_DIR}}/steering/*.md treated equally (core + custom) </background_information>

Check {{KIRO_DIR}}/steering/ status:

Bootstrap Mode: Empty OR missing core files (product.md, tech.md, structure.md)
Sync Mode: All core files exist


Bootstrap Flow

  1. Load templates from {{KIRO_DIR}}/settings/templates/steering/
  2. Analyze codebase (JIT):
Parallel Research

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

  1. Product analysis: README, package.json, documentation files for purpose, value, core capabilities
  2. Tech analysis: Config files, dependencies, frameworks for technology patterns and decisions
  3. Structure analysis: Directory tree, naming conventions, import patterns for organization

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

After all parallel research completes, synthesize patterns for steering files.

  1. Extract patterns (not lists):
    • Product: Purpose, value, core capabilities
    • Tech: Frameworks, decisions, conventions
    • Structure: Organization, naming, imports
  2. Generate steering files (follow templates)
  3. Load principles from rules/steering-principles.md from this skill's directory
  4. Present summary for review

Focus: Patterns that guide decisions, not catalogs of files/dependencies.


Sync Flow

  1. Load all existing steering ({{KIRO_DIR}}/steering/*.md)
  2. Analyze codebase for changes (JIT)
  3. Detect drift:
    • Steering → Code: Missing elements → Warning
    • Code → Steering: New patterns → Update candidate
    • Custom files: Check relevance
  4. Propose updates (additive, preserve user content)
  5. Report: Updates, warnings, recommendations

Update Philosophy: Add, don't replace. Preserve user sections.


Granularity Principle

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

"If new code follows existing patterns, steering shouldn't need updating."

Document patterns and principles, not exhaustive lists.

Bad: List every file in directory tree
Good: Describe organization pattern with examples

Tool guidance

  • Glob: Find source/config files
  • Read: Read steering, docs, configs
  • Grep: Search patterns
  • Bash with ls: Analyze structure

JIT Strategy: Fetch when needed, not upfront.

Output description

Chat summary only (files updated directly).

Bootstrap:

✅ Steering Created

## Generated:
- product.md: [Brief description]
- tech.md: [Key stack]
- structure.md: [Organization]

Review and approve as Source of Truth.

Sync:

✅ Steering Updated

## Changes:
- tech.md: React 18 → 19
- structure.md: Added API pattern

## Code Drift:
- Components not following import conventions

## Recommendations:
- Consider api-standards.md

Examples

Bootstrap

Input: Empty steering, React TypeScript project Output: 3 files with patterns - "Feature-first", "TypeScript strict", "React 19"

Sync

Input: Existing steering, new /api directory Output: Updated structure.md, flagged non-compliant files, suggested api-standards.md

Safety & Fallback

  • Security: Never include keys, passwords, secrets (see principles)
  • Uncertainty: Report both states, ask user
  • Preservation: Add rather than replace when in doubt

Notes

  • All {{KIRO_DIR}}/steering/*.md loaded as project memory
  • Templates and principles are external for customization
  • Focus on patterns, not catalogs
  • "Golden Rule": New code following patterns shouldn't require steering updates
  • Avoid documenting agent-specific tooling directories (e.g. .cursor/, .gemini/, .claude/)
  • {{KIRO_DIR}}/settings/ content should NOT be documented in steering files (settings are metadata, not project knowledge)
  • Light references to {{KIRO_DIR}}/specs/ and {{KIRO_DIR}}/steering/ are acceptable; avoid other .kiro/ directories

Frequently asked questions

What does the Kiro Steering AI skill do?

Manage {{KIRO_DIR}}/steering/ as persistent project knowledge

Why use Kiro Steering on TypingMind?

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

Which AI models can use Kiro Steering?

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?

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

Is the Kiro Steering 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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