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Ecto Constraint Debug

Community
oliver-kriska
ecto-constraint-debug

Debug Ecto constraint violations - trace triggers, check migrations, find duplicate data. Use when seeing unique_constraint, foreign_key_constraint, or check_constraint errors.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill nameecto-constraint-debug
Stars
555
Forks
40
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by oliver-kriska on GitHub. Read the source before you install it.

Installation

Install the Ecto Constraint Debug 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/oliver-kriska/claude-elixir-phoenix.git /tmp/claude-elixir-phoenix
mkdir -p .claude/skills
cp -r /tmp/claude-elixir-phoenix/plugins/elixir-phoenix/skills/ecto-constraint-debug .claude/skills/ecto-constraint-debug
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ecto Constraint Debug 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 Ecto Constraint Debug 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 Ecto Constraint Debug 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.

Ecto Constraint Debugging

Ash projects: Ash surfaces DB constraints through its own error DSL. Use the ash-framework skill — mix usage_rules.search_docs "constraint" -p ash_postgres.

Systematic approach to diagnosing constraint violations. Load when you see Ecto.ConstraintError, unique_constraint, foreign_key_constraint, or constraint-related changeset errors.

Iron Laws

  1. READ THE CONSTRAINT NAME — The constraint name (e.g., links_url_index) tells you exactly which index/constraint failed. Parse it from the error message first
  2. CHECK MIGRATION BEFORE CODE — Verify the constraint definition in priv/repo/migrations/ matches what the schema expects
  3. TRACE ALL INSERT PATHS — Find every code path that inserts into the constrained table. The bug is often in a path you didn't consider
  4. RACE CONDITION UNTIL PROVEN OTHERWISE — If validation passes but constraint fails, assume concurrent inserts until you prove a single-request cause

Step-by-Step Debugging

Step 1: Parse the Error

Extract from the error message:

  • Constraint name (e.g., users_email_index)
  • Table name (e.g., users)
  • Operation (insert, update, or delete)
  • Conflicting values (if available in logs)

Step 2: Find the Migration

Use Grep to search for the constraint name in priv/repo/migrations/. Also check for create unique_index, create index, add constraint.

Verify: Does the migration constraint match the schema's unique_constraint/3 or foreign_key_constraint/3 call?

Step 3: Find the Schema

Use Grep to find constraint handling in changesets (unique_constraint, foreign_key_constraint, check_constraint) in lib/.

Step 4: Trace Insert Paths

Find ALL callers that insert/update this schema:

Use Grep to find all insert/update paths (Repo.insert, Repo.update, Repo.insert_all, cast_assoc) in lib/.

Step 5: Identify the Cause

SymptomLikely CauseFix Pattern
Same user triggers twiceRace condition (double-click, retry)Upsert with on_conflict
Multiple parents share childcast_assoc doesn't dedup across changesetsDedup before building changesets
Concurrent API requestsMissing transaction isolationWrap in Repo.transaction or use upsert
Migration added constraint to existing dataData violates new constraintBackfill or clean data first

Step 6: Apply Fix

See ${CLAUDE_SKILL_DIR}/references/constraint-patterns.md for detailed fix patterns.

Quick Fixes by Constraint Type

Unique violation → Upsert: Repo.insert(changeset, on_conflict: :replace_all, conflict_target: [:field])

Foreign key violation → Check: Does the referenced record exist? Was it deleted concurrently?

Check constraint → Validate: Does the value satisfy the constraint condition?

References

  • ${CLAUDE_SKILL_DIR}/references/constraint-patterns.md - Detailed patterns for each constraint type

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 Ecto Constraint Debug AI skill do?

Debug Ecto constraint violations - trace triggers, check migrations, find duplicate data. Use when seeing unique_constraint, foreign_key_constraint, or check_constraint errors.

Why use Ecto Constraint Debug on TypingMind?

Because you install it once and use it with any model. Ecto Constraint Debug 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 Ecto Constraint Debug in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oliver-kriska/claude-elixir-phoenix/tree/main/plugins/elixir-phoenix/skills/ecto-constraint-debug. 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 Ecto Constraint Debug?

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 Ecto Constraint Debug?

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

Is the Ecto Constraint Debug AI skill free?

Yes. It is published on GitHub by oliver-kriska 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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