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Scan

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andrew-shwetzer
scan

Scan company career pages for job openings that match your profile. Uses web search with site-scoped queries to find listings on Greenhouse, Lever, Ashby, SmartRecruiters, and other ATS platforms. Use when someone says 'scan for jobs', 'check careers page', 'find openings at', or 'search for roles'.

Overview

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

Use it in TypingMind

Enable Scan 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 Scan 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 Scan 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.

Scan for Job Openings

Search company career portals for roles matching your profile. Use ATS type and slug detection (see references/ats-endpoints.md) to build targeted site-scoped WebSearch queries.

Step 0: Load Context

  1. Read data/profile.yml for target roles, skills, seniority
  2. Read config/portals.yml if it exists (company watchlist)
  3. Read data/scan-history.md if it exists (dedup against seen postings)
  4. Read data/applications.md to exclude roles already tracked

Step 1: Determine What to Scan

Parse user input:

  • Company name: Look up in portals.yml for ATS type and slug. If not found, use WebSearch to find their careers page and detect ATS.
  • URL: Detect ATS type from URL pattern:
    • boards.greenhouse.io/{slug} or {company}.greenhouse.io -> Greenhouse
    • jobs.lever.co/{slug} -> Lever
    • jobs.ashbyhq.com/{slug} or {company}.ashbyhq.com -> Ashby
    • jobs.smartrecruiters.com/{slug} -> SmartRecruiters
    • Other -> use WebSearch with {company name} careers {role keywords}
  • "all" / "scan my watchlist": Scan every enabled company in portals.yml. If no portals.yml exists, tell the user:

    "You don't have a company watchlist yet. Tell me some companies you're interested in and I'll set one up."

  • "scan {industry}": Use WebSearch to find companies hiring in that industry, then scan their career pages.

Step 2: Fetch Job Listings

Tier 1: WebSearch (primary)

Use WebSearch with targeted site-scoped queries to find job listings. Use the ATS type and slug identified in Step 1 to build precise queries.

Search strategy by ATS:

  • Ashby: site:jobs.ashbyhq.com/{slug} {target role keywords}
  • Lever: site:jobs.lever.co/{slug} {target role keywords}
  • Greenhouse: site:job-boards.greenhouse.io/{slug} {target role keywords} (Note: Greenhouse pages are poorly indexed. If no results, try {company name} careers {target role keywords} greenhouse)
  • SmartRecruiters: site:jobs.smartrecruiters.com/{slug} {target role keywords}
  • Workday: site:{tenant}.myworkdayjobs.com {target role keywords}
  • Generic / unknown ATS: {company name} careers {target role keywords} {current year}

Build target role keywords from the profile: combine primary_role, secondary_roles, and top 3 skills. Example for a marketing director: marketing director OR head of marketing OR VP marketing

Parse search results: Each result typically contains the job title in the link text and the URL to the posting. Extract title and URL from each search result. If the search returns descriptions, extract location and department info as well.

Run multiple queries if needed: One for the primary role, one for secondary roles. Deduplicate by URL before filtering.

Tier 2: Manual Fallback

If WebSearch fails to return results:

"I couldn't find listings automatically for {company}. Here's their careers URL: {url}. You can browse it and paste any interesting job postings for me to evaluate."

Step 3: Filter & Match

For each job listing found:

  1. Title relevance: Compare against target roles from profile.yml

    • Match target role keywords (primary + secondary roles)
    • Exclude roles that don't match seniority level
    • Exclude titles with negative keywords if profile has exclude_keywords
  2. Quick relevance score (0-10):

    • Title match to target roles: 0-4 points
    • Skills/keyword overlap with profile: 0-3 points
    • Location/remote match: 0-2 points
    • Seniority alignment: 0-1 point
  3. Dedup:

    • Check URL against data/scan-history.md (skip if seen)
    • Check company + title against data/applications.md (skip if tracked)

Step 4: Output

## Scan Results: {Company} - {date}

Found **{X}** openings, **{Y}** match your profile.

### Matches (by relevance)

| # | Role | Location | Relevance | Link |
|---|---|---|---|---|
| 1 | {title} | {location} | {score}/10 | {URL} |
| 2 | ... | ... | ... | ... |

### Filtered Out ({Z} roles)
{Brief list: "3 junior roles, 2 in unrelated departments, 1 requires
relocation to {city}"}

Step 5: Save & Next Steps

Add all matches to data/pipeline.md (create if doesn't exist):

markdown
# Job Pipeline

| Date Found | Company | Role | Relevance | URL | Status |
|---|---|---|---|---|---|
| {today} | {company} | {title} | {score}/10 | {url} | New |

Log ALL seen postings (matches + filtered) to data/scan-history.md:

markdown
| Date | Company | Role | URL | Action |
|---|---|---|---|---|
| {today} | {company} | {title} | {url} | Matched / Filtered: {reason} |

"Found {Y} matching roles at {company}.

Want me to:

  • Evaluate the top match? Say 'evaluate #1'
  • Triage the full pipeline? Say 'triage my pipeline'
  • Scan another company? Say 'scan {company}'"

Frequently asked questions

What does the Scan AI skill do?

Scan company career pages for job openings that match your profile. Uses web search with site-scoped queries to find listings on Greenhouse, Lever, Ashby, SmartRecruiters, and other ATS platforms. Use when someone says 'scan for jobs', 'check careers page', 'find openings at', or 'search for roles'.

Why use Scan on TypingMind?

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

Which AI models can use Scan?

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 Scan?

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

Is the Scan 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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