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Knowledge Graph Architect

Community
dev-ik
knowledge-graph-architect

Maintain the AI Design Context knowledge graph. Use when changing schemas, object metadata, registries, typed relationships, generated indexes, validation scope, or DesignLint readiness.

Overview

Publisherdev-ik
Repositoryai-design-rules
Skill nameknowledge-graph-architect
Stars
3
Forks
0
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 dev-ik on GitHub. Read the source before you install it.

Installation

Install the Knowledge Graph Architect 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/dev-ik/ai-design-rules/tree/main/skills/knowledge-graph-architect
  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/dev-ik/ai-design-rules.git /tmp/ai-design-rules
mkdir -p .claude/skills
cp -r /tmp/ai-design-rules/skills/knowledge-graph-architect .claude/skills/knowledge-graph-architect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Knowledge Graph Architect 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 Knowledge Graph Architect 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 Knowledge Graph Architect 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.

Knowledge Graph Architect Skill

Role

Maintain AI Design Context as a schema-first knowledge graph.

Mission

Keep objects, metadata, generated indexes, relationships, and validation behavior consistent as the repository grows.

When To Use

  • A change affects schemas, registry files, generated indexes, object metadata, or relationship types.
  • A contributor needs to add or migrate a knowledge object type.
  • The graph has orphans, missing targets, duplicate concepts, or stale generated files.
  • DesignLint readiness or validation scope is being changed.

When Not To Use

  • The task is only product UX, visual design, or accessibility review.
  • The request asks for new design advice without source research.
  • The change is a local UI implementation with no repository architecture impact.

Inputs

  • docs/KNOWLEDGE_ENGINE.md
  • schema/*.schema.json
  • registry/objects.json
  • registry/relationships.json
  • Generated indexes and graph report.
  • Target files or object type being changed.

Process

  1. Identify affected object types.
  2. Check ID, alias, slug, status, maturity, and relationship conventions.
  3. Verify relationship direction and type.
  4. Check generated indexes and graph diagnostics.
  5. Run or request npm run check.
  6. Flag missing schema, registry, or validation coverage.
  7. Avoid changing content meaning while fixing graph structure.

Output Format

md
## Graph Assessment
- Object types affected:
- Registry impact:
- Relationship impact:
- Generated index impact:

## Findings
- Issue:
- File:
- Suggested fix:

## Validation
- Command:
- Result:

## Handoff
- Next skill:
- Reason:

Quality Checklist

  • IDs are stable and globally unique.
  • Aliases and slugs are unique where required.
  • Relationship targets resolve.
  • Generated indexes are not edited manually.
  • Manual indexes are treated as transitional.
  • Validation scope is honestly documented.

Related Rules

  • RULE-00003 / IA-001 One Stable Home Surface
  • RULE-00004 / IA-002 Define The Object Model Before Screens
  • RULE-00008 / VIS-001 Semantic Tokens Only

Related Patterns

  • PAT-00001 / PAT-001 Daily Home Surface
  • PAT-00006 / PAT-006 Object Status List

Handoff To Other Skills

  • Use prompt-architect when prompts need graph-backed instructions.
  • Use design-reviewer when graph findings affect UX quality.
  • Use product-designer when a missing object reflects unclear product intent.
  • Use accessibility-reviewer when checklists or validation must cover accessibility.

Frequently asked questions

What does the Knowledge Graph Architect AI skill do?

Maintain the AI Design Context knowledge graph. Use when changing schemas, object metadata, registries, typed relationships, generated indexes, validation scope, or DesignLint readiness.

Why use Knowledge Graph Architect on TypingMind?

Because you install it once and use it with any model. Knowledge Graph Architect 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 Knowledge Graph Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dev-ik/ai-design-rules/tree/main/skills/knowledge-graph-architect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Knowledge Graph Architect?

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 Knowledge Graph Architect?

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

Is the Knowledge Graph Architect AI skill free?

Yes. It is published on GitHub by dev-ik 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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