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Help

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andrew-shwetzer
help

See all available career-ops skills, what they do, and which one to use next based on where you are in your job search. Use when someone says 'help', 'what can you do', 'how does this work', or seems unsure what to do next.

Overview

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

Use it in TypingMind

Enable Help 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 Help 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 Help 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.

career-ops Help

Guide the user through available skills based on where they are in their job search.

Step 0: Check State

Read data/profile.yml - does it exist? Read data/applications.md - how many entries? Glob data/evaluations/*.md - how many evaluations? Glob data/resumes/*.html - how many resumes?

Step 1: Show Skill Directory

If the user asked about a specific skill, show detailed help for that skill. Otherwise show the full directory:

## career-ops - Your Job Search Copilot

| Skill | What It Does | Try Saying |
|---|---|---|
| **evaluate** | Score a job posting against your background (A-F blocks) | "Evaluate this job posting" |
| **tailor-resume** | Generate an ATS-optimized resume for a specific role | "Tailor my resume for the Acme role" |
| **scan** | Search company career portals for matching openings | "Scan Google for jobs" |
| **triage** | Quick-score your pipeline of scan results | "Triage my pipeline" |
| **track** | View and update your application tracker | "Show my applications" |
| **apply** | Help fill out application forms | "Help me with this application" |
| **research** | Deep-dive a company before applying or interviewing | "Research Stripe" |
| **outreach** | Draft LinkedIn/email messages to contacts | "Draft outreach to the hiring manager" |
| **compare** | Side-by-side comparison of opportunities | "Compare my top options" |

**Commands:**
| Command | What It Does |
|---|---|
| **setup** | Set up or update your profile |
| **quick-eval** | Fast score + one paragraph (no full report) |

Step 2: Smart Suggestion

Based on the user's current state, suggest the most valuable next action:

No profile:

"Start here: paste your resume or tell me about yourself so I can evaluate jobs for you."

Profile exists, no evaluations:

"You're all set! Paste a job posting (URL or text) and I'll evaluate how well you match."

Has evaluations, no resumes:

"You have {n} evaluations. Your top match is {company} - {role} ({score}/5.0). Want me to tailor a resume for it?"

Has resumes, none applied:

"You have resumes ready for {n} roles. Ready to apply? Say 'help me with the {company} application' and I'll generate your form answers."

Has applications:

"You have {n} active applications. Say 'show my applications' for a status overview, or 'update {company} to {status}' to track progress."

Has interviews:

"You have interviews coming up! Say 'research {company}' to prepare."

Step 3: Workflow Overview (if user asks "how does this work")

## The career-ops Workflow

1. **Set up** your profile (one time, 5 minutes)
   ↓
2. **Evaluate** job postings (paste a JD, get an honest A-F assessment)
   ↓
3. **Tailor** your resume for the best matches
   ↓
4. **Apply** with personalized form answers
   ↓
5. **Track** your applications and follow up

**Discovery tools** (use anytime):
- **Scan** company career pages for new openings
- **Research** companies before interviews
- **Outreach** to contacts at target companies
- **Compare** multiple opportunities side by side

Frequently asked questions

What does the Help AI skill do?

See all available career-ops skills, what they do, and which one to use next based on where you are in your job search. Use when someone says 'help', 'what can you do', 'how does this work', or seems unsure what to do next.

Why use Help on TypingMind?

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

Which AI models can use Help?

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 Help?

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

Is the Help 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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