Triage logo

Triage

Community
andrew-shwetzer
triage

Quick-score your pipeline of scan results. Ranks every role in your pipeline by fit and recommends which ones deserve a full evaluation. Use when someone says 'triage my pipeline', 'which scanned jobs should I apply to', 'rank my pipeline', or 'process my scan results'.

Overview

Publisherandrew-shwetzer
Repositorycareer-ops-plugin-do-not-fork-currently-updating-v2-
Skill nametriage
Stars
503
Forks
105
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 andrew-shwetzer 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.
    https://github.com/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tree/main/skills/triage
  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/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-.git /tmp/career-ops-plugin-do-not-fork-currently-updating-v2-
mkdir -p .claude/skills
cp -r /tmp/career-ops-plugin-do-not-fork-currently-updating-v2-/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 Pipeline

Quick-score scan results to find the best candidates for full evaluation.

Step 0: Load Context

  1. Read data/profile.yml
  2. Read data/pipeline.md - the queue from scan results
  3. Read data/applications.md - exclude already-tracked roles

If pipeline is empty:

"Your pipeline is empty. Scan some companies first: say 'scan {company name}' or 'scan all' for your watchlist."

Step 1: Determine Scope

  • No argument / "all": Process every "New" entry in pipeline
  • Company name: Process only that company's entries
  • Number limit: "triage top 10" -> process first 10 by relevance

Step 2: Quick-Score Each Role

For each pipeline entry with status "New":

  1. Fetch the full JD if only a URL is stored (use WebFetch)
  2. If WebFetch unavailable, score based on title + location only (partial)
  3. Quick-score on 3 dimensions:
    • Title fit (0-5): How well does the title match target roles?
    • Requirements fit (0-5): If JD available, how many requirements match?
    • Logistics fit (0-5): Location, seniority, compensation range match?
  4. Average = quick score out of 5.0

This is FAST scoring. No blocks A-F. No STAR stories. Just a fit check.

Step 3: Rank & Recommend

Sort by quick score, descending.

## Pipeline Triage: {date}

Scored **{n}** roles from your pipeline.

### Recommended for Full Evaluation (score >= 3.5)

| # | Company | Role | Quick Score | Why |
|---|---|---|---|---|
| 1 | {company} | {title} | {score}/5 | {one-line reason} |
| 2 | ... | ... | ... | ... |

### Maybe (score 2.5-3.4)

| # | Company | Role | Quick Score | Why |
|---|---|---|---|---|
| ... | | | | |

### Skip (score < 2.5)

| # | Company | Role | Quick Score | Why |
|---|---|---|---|---|
| ... | | | | {why it doesn't fit} |

Step 4: Update Pipeline

Update data/pipeline.md:

  • Add quick score to each entry
  • Change status from "New" to "Triaged"

Step 5: Next Steps

"Top {n} roles are worth a full evaluation.

Want me to:

  • Evaluate the top pick? Say 'evaluate {company} {role}'
  • Evaluate all recommended? I'll work through them one by one
  • Scan more companies? Say 'scan {company}'"

If user says "evaluate all recommended," process each sequentially using the evaluate skill, pausing between each for user confirmation.

Frequently asked questions

What does the Triage AI skill do?

Quick-score your pipeline of scan results. Ranks every role in your pipeline by fit and recommends which ones deserve a full evaluation. Use when someone says 'triage my pipeline', 'which scanned jobs should I apply to', 'rank my pipeline', or 'process my scan results'.

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/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tree/main/skills/triage. TypingMind reads its SKILL.md 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 andrew-shwetzer 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇