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Track

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andrew-shwetzer
track

View and update your job application tracker. See all applications, filter by status, update progress, and get statistics on your search. Use when someone says 'show my applications', 'how is my job search going', 'update status', or 'tracker'.

Overview

Publisherandrew-shwetzer
Repositorycareer-ops-plugin-do-not-fork-currently-updating-v2-
Skill nametrack
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 Track 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/track
  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/track .claude/skills/track
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Track 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 Track 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 Track 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.

Application Tracker

View and manage your job applications in one place.

Step 0: Load Tracker

Read data/applications.md. If it doesn't exist, create it with the header:

markdown
# Job Applications

| Date Added | Date Applied | Company | Role | Score | Status | Evaluation | Notes |
|---|---|---|---|---|---|---|---|

Then tell the user:

"Your tracker is empty. Evaluate a job posting to get started, or paste a JD and I'll score it for you."

Step 1: Parse User Intent

  • No argument / "show tracker" / "my applications": Display full table + stats
  • Status filter ("show applied" / "what's in interview"): Filter by status
  • Company filter ("show Stripe"): Filter by company name
  • Update ("update Acme PM to Interview"): Change status of matching row
  • Stats ("how's my search going" / "search stats"): Show summary statistics
  • Delete ("remove the Acme entry"): Confirm, then remove row

Step 2: Display

Full View

Show the table as-is from applications.md, then show stats below it.

Filtered View

Show only matching rows, then summary:

"Showing {n} applications with status '{status}'."

Update Flow

  1. Find the matching row (by company + role, fuzzy match OK)
  2. Show current status and proposed new status
  3. Ask for confirmation:

    "Update {Company} - {Role} from {old status} to {new status}?"

  4. On confirmation, update the row
  5. If transitioning to "Applied", set Date Applied to today
  6. If transitioning to "Accepted", congratulate them!

Validate transitions against references/states.md. If invalid:

"Can't move from {old} to {new}. Valid next steps: {list}."

Step 3: Statistics

## Your Job Search Dashboard

| Metric | Count |
|---|---|
| Total evaluated | {n} |
| Resumes tailored | {n with status >= Resume Ready} |
| Applied | {n} |
| Response rate | {responses / applied}% |
| Interviews | {n} |
| Offers | {n} |
| Average score (applied) | {avg}/5.0 |
| Active (not resolved) | {n non-terminal} |

**Top scoring opportunities:**
1. {Company} - {Role} ({score}/5.0) - {status}
2. ...
3. ...

**Needs attention (applied but no response > 7 days):**
- {Company} - {Role} - applied {date}

If there are evaluations without resumes tailored:

"You have {n} evaluations scoring 3.5+ without a tailored resume. Want me to create one? Say 'tailor my resume for {top company}'."

Step 4: Suggest Next Actions

Based on current state:

  • Mostly "Evaluated": "You've got evaluations but haven't applied to many. Want me to tailor resumes for your top-scored roles?"
  • Several "Applied" with no updates: "Time for follow-ups? I can draft outreach messages to check in on your applications."
  • Has "Interview": "Great, you have interviews! Want me to research {company} to help you prepare?"
  • Everything terminal: "Your current batch is wrapped up. Ready to scan for new opportunities?"

Frequently asked questions

What does the Track AI skill do?

View and update your job application tracker. See all applications, filter by status, update progress, and get statistics on your search. Use when someone says 'show my applications', 'how is my job search going', 'update status', or 'tracker'.

Why use Track on TypingMind?

Because you install it once and use it with any model. Track 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 Track 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/track. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Track?

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 Track?

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

Is the Track 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.

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