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Idef1x

Community
damusix
idef1x

Use when designing, reviewing, or normalizing an IDEF1X data model, or running a phased information-modeling project — entities, key migration, identifying vs nonidentifying, subtype clusters, domains, and what the notation implies.

Overview

Publisherdamusix
Repositoryskills
Skill nameidef1x
Stars
63
Forks
3
Bundled files
8
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.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by damusix on GitHub. Read the source before you install it.

Installation

Install the Idef1x 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/damusix/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/idef1x .claude/skills/idef1x
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Idef1x 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 Idef1x 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 Idef1x 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.

IDEF1X Information Modeling

IDEF1X states business rules as a data structure: entities are nouns, attributes adjectives, relationships verbs — and relationships are carried by keys that migrate from parent to child, never by pointers. Every structural choice asserts a constraint, so design is making those assertions say what the business means. This skill is a methodology advisor; a separate tool draws the diagrams.

The prime directive

  • One fact in one place (the normalization half) and get the business rules right (the correctness half). Theory only helps; people verify the assertions are true.
  • Each denormalization changes the business rules the structure states. Argue the rule that will be lost or pushed into code, not performance.
  • Verify by reading the model back as sentences and by building sample instance tables — they expose wrong rules that pass every formal check.

Key migration — the one distinction to get right

The parent's primary key migrates into the child as a foreign key. Where it lands is the whole meaning:

Identifying (solid line)Nonidentifying (dashed line)
FK lands inchild key area (part of child PK)child data area (non-key)
Identificationchild can't be identified without parentchild has its own identity
Existencechild can't exist without parentindependent unless mandatory
FK nullableneveryes, if optional (diamond on parent)

An identifying relationship is a deliberate decision that the parent's identity is part of the child's. Never assume it; choose it.

Quick start

To read or judge any relationship: name parent and child, read parent→child with the verb ("a MOVIE has many MOVIE-COPYs"), then ask — can the child exist or be identified without the parent? Yes → nonidentifying (FK in data area); no → identifying (FK in key area). Then confirm the rule that choice asserts is the rule the business actually wants.

References

Two sources, tagged per file: [B] Thomas Bruce's book (construct semantics, design heuristics, normalization-as-business-rules) and [F] FIPS PUB 184 (the modeling procedure). Where they overlap, the process file cross-refs the Bruce files. Load the file matching your decision:

  • [F] references/modeling-process.md — the five-phase method (0 initiation → 1 entities → 2 relationships → 3 keys → 4 attributes), team roles, source material, validation/walk-through, and each phase's decision criteria and checklists.
  • [B] references/entities-keys-relationships.md — entity types, primary-key choice, migration, identifying vs nonidentifying, cardinality (P/Z/N), recursive & nonspecific relationships, role names, unification, surrogate keys, and the "when you see X it implies Y" reading guide.
  • [B] references/generalization.md — subtypes: generic parent, discriminator, complete vs incomplete clusters, AND/OR structures, the key-substitution workaround, over-generalization.
  • [B] references/names-definitions-domains.md — naming, definitions, domains as business rules, group & derived attributes.
  • [B] references/normalization-business-rules.md — normalization as business-rule correctness, the design-problem catalog (1NF–3NF), hidden errors, the find-errors checklist.
  • [B] references/referential-integrity.md — insert/replace/delete rules (Cascade/Restrict/Set Null) per relationship type.
  • [B] references/model-types-and-method.md — ERD→KBM→FAM→TM, three-schema architecture, data-centered design, reverse-engineering limits.
  • [B] references/glossary.md — every IDEF1X term, one line each.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Idef1x AI skill do?

Use when designing, reviewing, or normalizing an IDEF1X data model, or running a phased information-modeling project — entities, key migration, identifying vs nonidentifying, subtype clusters, domains, and what the notation implies.

Why use Idef1x on TypingMind?

Because you install it once and use it with any model. Idef1x 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 Idef1x in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/damusix/skills/tree/main/idef1x. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Idef1x?

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 Idef1x?

As many as you like. As long as a model supports skills, you can use Idef1x with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Idef1x AI skill free?

It is published on GitHub by damusix. Check the repository for licensing terms. 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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