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andrew-shwetzer
apply

Help fill out a job application form. Generates personalized answers for every field using your profile and evaluation. Never auto-submits. Use when someone says 'help me apply', 'fill out this application', or 'application for'.

Overview

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

Use it in TypingMind

Enable Apply 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 Apply 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 Apply 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 Form Assistant

Help fill out job application forms with personalized, honest answers.

CRITICAL: NEVER auto-submit an application. Always show the user every answer and get explicit confirmation before any form interaction. Always stop before any submit button.

Step 0: Load Context

  1. Read data/profile.yml for structured background
  2. Read data/resume.md for full resume text
  3. Find the relevant evaluation in data/evaluations/
  4. Check data/research/{company}.md for company intel
  5. Check data/resumes/ for a tailored resume file

If no evaluation exists for this company:

"I haven't evaluated this role yet. Want me to evaluate the posting first? That gives me better context for your application answers."

Step 1: Identify the Application

Parse user input:

  • Company/role name: Find the matching evaluation
  • "Help me with this application": Ask which company/role, or if computer use is available, take a screenshot to identify the form

Step 2: Map Common Form Fields

Generate answers for standard application fields:

FieldSourceHow to Fill
Name / Email / Phoneprofile.ymlDirect copy
Resume uploadPoint to file"Upload data/resumes/{file}.html (or PDF if you printed it)"
Cover letterGenerate belowTailored to this role
"Why this company?"Research + evaluationSpecific, referencing company details
"Why this role?"Evaluation Block C + narrativeConnect background to role requirements
Years of experienceprofile.ymlHonest number
Salary expectationsEvaluation Block DUse target from profile, informed by market data
Work authorizationprofile.yml visa_statusDirect answer
Willing to relocateprofile.yml work_preferenceDirect answer
Start dateAsk user"When can you start?"

Step 3: Cover Letter (when needed)

Structure:

  1. Opening: Specific hook about the company (NOT "I'm excited to apply")
  2. Bridge: How your specific background connects to their specific need
  3. Evidence: 2-3 concrete accomplishments from your experience relevant to this role
  4. Close: Forward-looking, confident but not presumptuous

Rules:

  • 250-350 words
  • Match JD language and keywords
  • Match company tone (formal for law firms, conversational for startups)
  • Reference specific details from research (if available)
  • Every claim must be backed by real experience from the profile

Step 4: Handle Custom Questions

For each custom application question:

Short answer (< 500 chars):

  • Draw from evaluation blocks, profile, or research
  • Be specific, not generic
  • Include a number or concrete detail when possible

"Tell me about a time..." (behavioral):

  • Use STAR format from evaluation Block F stories
  • Match the most relevant story to the question

"What are your salary expectations?":

  • Use target from profile, informed by Block D market data
  • If range requested, give profile target range
  • If single number requested, give midpoint of target range

Yes/No questions (authorization, relocation, etc.):

  • Answer directly from profile data
  • If not in profile, ask the user

EEO / demographic questions:

  • Tell the user these are optional and legally cannot affect their candidacy
  • Let them answer themselves

Step 5: Present All Answers

Show EVERY generated answer before any action:

## Application Answers: {Company} - {Role}

**Cover letter:**
{full text}

**"Why this company?"**
{answer}

**"Why this role?"**
{answer}

**Salary expectations:** {answer}

**Custom questions:**
1. "{question}" - {answer}
2. "{question}" - {answer}

---

Review these answers. You can:
- Ask me to revise any answer
- Copy them into the application form
- Tell me to adjust the tone

Step 6: Computer Use Assistance (only if available and user requests)

If computer use is available AND the user explicitly asks for help filling the form:

  1. Navigate to the application page
  2. Fill each field with the APPROVED answers only
  3. Upload resume file if the form accepts it
  4. STOP before the Submit button. Take a screenshot. Say:

"Everything is filled in. Please review the form carefully and click Submit when you're ready. I won't click it for you."

If no computer use:

"Copy the answers above into the application form. Let me know when you've submitted and I'll update your tracker."

Step 7: Update Tracker

After the user confirms submission:

  • Update data/applications.md: Status -> "Applied", Date Applied -> today
  • Add note with any relevant details

"Tracked! Your application to {company} is logged. I'll remind you to follow up if you haven't heard back in a week."

Frequently asked questions

What does the Apply AI skill do?

Help fill out a job application form. Generates personalized answers for every field using your profile and evaluation. Never auto-submits. Use when someone says 'help me apply', 'fill out this application', or 'application for'.

Why use Apply on TypingMind?

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

Which AI models can use Apply?

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 Apply?

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

Is the Apply 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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