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Phx Investigate

Community
oliver-kriska
phx-investigate

Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional Amp subagents only when useful.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill namephx-investigate
Stars
565
Forks
45
Bundled files
3
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.

  • 3 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 Phx Investigate 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/oliver-kriska/claude-elixir-phoenix/tree/main/targets/amp/skills/phx-investigate
  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/targets/amp/skills/phx-investigate .claude/skills/phx-investigate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Phx Investigate 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 Phx Investigate 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 Phx Investigate 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.

Investigate Bug

Investigate Elixir/Phoenix bugs root-cause first. Reproduce or establish the failing behavior before recommending a fix, and cite concrete paths and lines.

Usage

text
phx-investigate Users can't log in after password reset
phx-investigate FunctionClauseError in UserController.show
phx-investigate Complex auth bug --parallel

Treat the text after the skill name as the bug description. --parallel asks for independent investigation tracks when native Amp subagent tooling is available; it is an optimization, never a requirement.

Iron Laws

  1. Read the error literally first — extract the exception, message, failing assertion, and first relevant application frame before theorizing.
  2. Check the obvious before going deep — compile errors, missing migrations, atom/string mismatches, nil values, stale servers, and changeset errors explain many failures.
  3. Reproduce before proposing a fix — run the smallest relevant test or controlled command and record its output. If reproduction is impossible, state exactly what evidence establishes the failure instead.
  4. Confirm the root cause with evidence — distinguish the observed failure, the causal code path, and the proposed correction.
  5. Do not edit while investigating unless the user asks for a fix — the investigation result is evidence and a recommendation, not an implicit patch.

Workflow

1. Consult Existing Evidence

Search .claude/solutions/, recent diffs, tests, logs, and the literal error. Do not block if .claude/solutions/ does not exist.

2. Capture Runtime Context When Available

Tidewave is optional. If its tools are configured, use them for logs, source locations, safe queries, or hypothesis checks. Otherwise use repository files, mix commands, and local logs. Never fail or ask the user to install Tidewave merely to continue an investigation.

3. Run Sanity Checks

Choose focused checks that fit the report, such as:

bash
mix compile --warnings-as-errors
mix test test/path_test.exs --trace

Do not run migrations or other state-changing commands unless they are necessary, safe for the fixture, and authorized by the user.

4. Reproduce Before Fixing

Capture the exact command, failure, and relevant output. Read references/error-patterns.md, then inspect only the code needed to trace the failure from entry point to cause.

5. Check the Obvious

Check saved files, atom/string keys, preload state, pattern matches, nil values, return values, server restarts, and changeset errors. For silent LiveView form failures, inspect {:error, changeset} and rendered validation errors before JS.

6. Trace and Test the Hypothesis

Use targeted searches, source reads, tests, or non-mutating diagnostics. Only add temporary source diagnostics if the user explicitly authorizes edits, and remove them before reporting. Cite path:line evidence for both the failing behavior and the causal code.

If native Amp subagents are available and the bug genuinely spans independent areas, delegate read-only tracks by concern. Otherwise perform the same tracks sequentially in this session. Do not require named custom agents.

7. Report

Use references/investigation-template.md. Include:

  • reproduction or evidence establishing the failure;
  • root cause, not merely the symptom;
  • relevant paths and lines;
  • confidence and any unverified assumptions;
  • the smallest safe fix or next diagnostic step.

Route follow-up work with phx-quick, phx-plan, or phx-compound when appropriate. Do not invoke another skill unless the user asks you to continue.

References

  • references/error-patterns.md — common errors and checklist
  • references/investigation-template.md — output format
  • references/debug-commands.md — debug commands and common fixes

Amp native parallel investigation

For a non-trivial failure with independent reproduction, root-cause, impact, and fix-strategy questions, call elixir_phoenix_parallel_investigate once. Its four local child threads are enforced read-only (Read and finder only). Reconcile their output in this parent thread and verify every claimed evidence path before editing. If the tool is unavailable or a child fails, run only the missing track sequentially. Simple failures should stay sequential.

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 Phx Investigate AI skill do?

Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional Amp subagents only when useful.

Why use Phx Investigate on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oliver-kriska/claude-elixir-phoenix/tree/main/targets/amp/skills/phx-investigate. 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 Phx Investigate?

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 Phx Investigate?

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

Is the Phx Investigate 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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