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Triage

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oliver-kriska
triage

Triage review findings interactively — approve, skip, or prioritize each issue. Use after /phx:review to filter findings before fixing.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill nametriage
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 Triage 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/triage .claude/skills/triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Triage 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 Triage 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 Triage 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.

Triage — Interactive Review Resolution

Walk through review findings one by one for human decision before committing to fixes.

Usage

/phx:triage .claude/plans/user-auth/reviews/user-auth-review.md
/phx:triage                  # Uses most recent review

Why Triage

After /phx:review produces findings, you have three options:

  1. Fix everything/phx:plan .claude/plans/{slug}/reviews/...
  2. Triage first/phx:triage (filter, then fix what matters)
  3. Handle manually — Read review, pick what to fix yourself

Best when review has 5+ findings and you want to prioritize.

Workflow

Step 1: Load Review

Read the review file. Parse all findings with severity.

Auto-approve Iron Law violations: Findings matching any Iron Law are auto-approved as "Fix it" without asking. These are non-negotiable in Elixir/Phoenix development.

Step 2: Present ALL Findings for Batch Selection

Use AskUserQuestion with multiSelect: true. Start with severity shortcuts, then list individual findings:

AskUserQuestion:
  question: "Which findings do you want to fix? (Iron Law violations auto-included)"
  header: "Triage"
  multiSelect: true
  options:
    - label: "All BLOCKERs ({count})"
      description: "Fix all critical issues"
    - label: "All WARNINGs ({count})"
      description: "Fix all should-fix issues"
    - label: "[BLOCKER] {title 1}"
      description: "{file}:{line} — {brief description}"
    - label: "[WARNING] {title 2}"
      description: "{file}:{line} — {brief description}"

If >4 options, batch into groups of 4 with severity shortcuts in the first batch. Severity shortcuts select all findings of that level — user can mix shortcuts with individual picks.

AskUserQuestion discipline: decisions only — never use it to narrate progress. Every option carries {file}:{line} + counts so the user decides without opening the review file.

Step 3: Gather Context on Selected Items

For selected items, ask ONE batch follow-up: "Any specific approach for any of these?" If they say "just fix them", proceed.

Step 4: Generate Triage Summary

Write to .claude/plans/{slug}/reviews/{slug}-triage.md with Fix Queue (approved items with checkboxes), Skipped, and Deferred sections.

Step 5: Present Next Steps

Triage complete: {n} to fix, {n} skipped, {n} deferred.

1. Plan fixes — /phx:plan .claude/plans/{slug}/reviews/{slug}-triage.md
2. Fix directly — /phx:work (for simple fixes)
3. Review deferred items later
4. Capture solutions — /phx:compound (if patterns were solved)

Iron Laws

  1. Batch selection over one-by-one — Use multiSelect for efficiency
  2. User decides, not the agent — Present facts, don't push
  3. BLOCKERs cannot be skipped silently — Warn if user tries
  4. Capture user context — Every "fix it" should include any user guidance for better fixes
  5. Suggest compound after triage — If triage reveals solved patterns (root cause identified, fix known), mention /phx:compound
  6. NEVER auto-decide severity or auto-dismiss findings — the human assigns final priority; present the agent's severity as a recommendation, not a verdict

Integration with Workflow

text
/phx:review
       |
/phx:triage  ← YOU ARE HERE (interactive filtering)
       |
/phx:plan (with triage file) → /phx:work → /phx:compound

References

  • ${CLAUDE_SKILL_DIR}/references/triage-patterns.md — Common triage decisions

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 Triage AI skill do?

Triage review findings interactively — approve, skip, or prioritize each issue. Use after /phx:review to filter findings before fixing.

Why use Triage on TypingMind?

Because you install it once and use it with any model. Triage 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 Triage 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/triage. 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 Triage?

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 Triage?

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

Is the Triage 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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