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Freehire Search

CommunityPopular
MadsLorentzen
freehire-search

Use this skill to search live software / tech / data / engineering job listings across many countries and markets (and remote) via the freehire.me aggregator's public API, or to look up a specific posting. It aggregates roles from ~50 ATS platforms into one schema, so a single skill covers many markets — but its faceted filtering (skills, category, seniority) is tuned tech-first, so scope triggers to technical roles. Trigger phrases: find a tech job, software job search, developer jobs, engineering vacancies, data/ML jobs, DevOps roles, remote developer jobs, "are there any <tech role> jobs in <place>", look up this freehire job posting.

Overview

PublisherMadsLorentzen
Repositoryai-job-search
Skill namefreehire-search
Stars
46.2K
Forks
15.9K
Bundled files
13
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.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by MadsLorentzen on GitHub. Read the source before you install it.

Installation

Install the Freehire Search 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/MadsLorentzen/ai-job-search/tree/master/.agents/skills/freehire-search
  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/MadsLorentzen/ai-job-search.git /tmp/ai-job-search
mkdir -p .claude/skills
cp -r /tmp/ai-job-search/.agents/skills/freehire-search .claude/skills/freehire-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Freehire Search 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 Freehire Search 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 Freehire Search 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.

freehire Search Skill

Search live job listings from the freehire.me job aggregator — an open-source IT job board that normalizes postings from ~50 ATS platforms across many countries into one schema. No authentication, no API key, and zero runtime dependencies — it runs with just bun. The market is chosen per query via facet flags (--region, --country), so the same skill works for a forker in any market out of the box.

This is a country-agnostic worked example of the repo's job-portal-skill pattern, like linkedin-search. Unlike the HTML-scraping portals, it queries freehire's public JSON API, so results are structured (skills, seniority, region facets) rather than parsed from markup.

⚠️ Scope: tech-focused

freehire's corpus already includes some non-tech postings (it crawls whole company career pages), but its faceted filtering — skills, categories, and seniority dictionaries — is tuned tech-first today, so this skill scopes its triggers to software / data / engineering / tech roles, where the filtering is strong. Non-tech coverage exists but is still maturing; don't rely on this skill for general (non-technical) job coverage yet.

ℹ️ Hosted-service dependency (best-effort, no SLA)

This skill depends on a third-party hosted service, freehire.me. Reads are public and unauthenticated — the same zero-signup bar as linkedin-search.

freehire.me is a personal project but actively maintained; it runs on a best-effort basis (no formal SLA). If the API is unreachable, the CLI fails gracefully — a non-zero exit with a clear error message — so an outage degrades this source rather than breaking the surrounding workflow.

Self-hosting / swappable base URL. The freehire backend is a separate MIT-licensed repo — strelov1/freehire (Go + PostgreSQL + Meilisearch) — that stands up with one command via Docker Compose (make up → API on :8080, same /api/v1/... paths). The skill honors a base-URL env var, FREEHIRE_API_URL (default https://freehire.me), so pointing it at a local instance is a one-line change:

bash
FREEHIRE_API_URL=http://localhost:8080 bun run .agents/skills/freehire-search/cli/src/cli.ts search -q "go"

Caveat: standing up the API is light, but keeping a full, continuously-fresh mirror (millions of postings across ~50 platforms) is resource-heavy — a self-hoster would either crawl a scoped subset of sources or point the env var back at the hosted API.

When to use this skill

  • Search for tech job openings by keyword, in a given region/country or remotely — each result comes back with its full description, no per-hit follow-up needed
  • Filter by seniority, category, skills, or recency (posted within N days)
  • Look one freehire posting up by its slug (including a closed one)

Commands

Search job listings

bash
bun run .agents/skills/freehire-search/cli/src/cli.ts search [-q "<keywords>"] [facet flags]

Key flags:

  • --query <text> / -q <text> — keyword search (title, skill, role). Full-text; optional.
  • --jobage <days> — posted within N days (maps to posted_within_days).
  • --page <n> — 1-indexed page. Default 1.
  • --limit <n> / -n <n> — results per page (API limit). Default 25.
  • --format json|table|plain — default json.
  • --description-format markdown|text|html — how each result's full description is rendered. Default markdown, which keeps the posting's headings and requirement lists intact. json output only.

Search results already carry the full description. This skill queries freehire's agent search endpoint, which replaces the index's truncated preview with each posting's complete text, so a search of 20 roles is 1 request rather than 1 + 20. Do not loop detail over search hits to read their descriptions — reach for detail only to look one posting up by slug (e.g. from the tracker, or a posting already closed and therefore absent from search). Full descriptions are verbose: keep --limit modest, and pre-filter on title/company before reading bodies - or pass --no-description for a cheap discovery pass that keeps every other field and drops the bodies entirely (fetch a shortlisted job's body with detail, or re-run the search without the flag).

Facet filters (values come from freehire's controlled vocabularies; comma-separate for OR within a facet):

  • --region <codes> — macro-region, e.g. global, eu, us, apac, latam, cis. --region eu,us. Use none to match jobs whose region could not be resolved (see "Partial data" below).
  • --country <codes> — ISO-3166 alpha-2, e.g. --country DE,GB
  • --city <names> — city name(s), e.g. --city Berlin
  • --seniority <levels> — junior, middle, senior, staff, principal, lead, …
  • --category <cats> — backend, frontend, fullstack, devops, ml_ai, qa, …
  • --skill <names> — canonical skill(s), e.g. --skill go,kubernetes
  • --company <slug> — company slug (from a result's company_slug)
  • --remote <mode> — remote | hybrid | onsite (work_mode facet)
  • --facet <key=value> — any other facet param (repeatable), e.g. --facet salary_min=100000

Location is a facet, not free text. Unlike linkedin-search's --location, freehire filters geography through the structured --region/--country/--city facets. Discover the live values for a market at /api/v1/jobs/facets (append ?q=<role> to scope it) — never invent facet values.

Fetch full job detail

bash
bun run .agents/skills/freehire-search/cli/src/cli.ts detail <slug|url> [--format json|plain]

slug is the id from a search result (e.g. golang-zensar-2bxu6dxm). You may also pass a full https://freehire.me/jobs/<slug> URL. Returns the full (HTML-stripped) description, skills, region/country, and — when the posting is enriched — seniority, category, employment type, and salary. salary keeps its period when freehire records one (INR 300000–300000/year, INR 12000/month); compare pay only in one period.

Use it for a posting you already have a slug for — a tracked application, a shared link, or a closed posting search no longer lists. Re-fetching a hit that search just returned only re-reads a description you already have.

Usage examples

bash
# Senior backend roles, table view
bun run .agents/skills/freehire-search/cli/src/cli.ts search -q "backend engineer" --seniority senior --limit 10 --format table

# Remote React roles in the EU
bun run .agents/skills/freehire-search/cli/src/cli.ts search -q "react" --remote remote --region eu --format table

# DevOps roles in Germany posted in the last 14 days
bun run .agents/skills/freehire-search/cli/src/cli.ts search --category devops --country DE --jobage 14 --format table

# ML/AI roles anywhere, fully remote
bun run .agents/skills/freehire-search/cli/src/cli.ts search -q "machine learning" --category ml_ai --remote remote --format table

# Descriptions as plain text instead of Markdown
bun run .agents/skills/freehire-search/cli/src/cli.ts search -q "platform engineer" --limit 5 --description-format text

# Full details for a specific job
bun run .agents/skills/freehire-search/cli/src/cli.ts detail golang-zensar-2bxu6dxm --format plain

Output formats

FormatBest for
jsonDefault — programmatic use; the only format carrying each hit's description
tableQuick human-readable scanning
plainReading a single job's full detail (detail command)

Search JSON is { "meta": { "count", "page", "total" }, "results": [...] }; each result carries at least id (the freehire slug), title, company, location, date, url, and description (missing values are null). table and plain omit the description — it would swamp a scannable list. All errors are written to stderr as { "error": "...", "code": "..." } and the process exits with code 1.

Partial data

Facets are derived per-posting and can be incomplete — geography especially. A job may resolve its work_mode (e.g. remote) but leave its region or country undetermined when the source's location text is ambiguous (freehire's dictionaries never guess). So:

  • A missing region/country means "not resolved", not "not applicable" — filtering on --region eu silently drops jobs whose region wasn't resolved, even if they are in fact EU. Widen or drop the facet if you need those back.
  • There is a dedicated facet value for the unresolved bucket: --region none matches jobs with no resolved region — useful to sweep up remote roles that never pinned a geography. It ORs with real regions, e.g. --region eu,none.
  • result.regions / countries / cities may be empty arrays for the same reason; treat empty as unknown, not as "none of the above".

Notes

  • Data is from freehire.me's public API — no credentials required. Only per-user tracking (apply/save) needs a key, and this skill deliberately does not touch it: it is search + detail only.
  • id in search results is the freehire public_slug — pass it as-is to detail.
  • date is the posting date (posted_at); it may be null for undated postings.
  • Facet values are controlled vocabularies. Use /api/v1/jobs/facets to see the live values (with counts) for a query before filtering.
  • The API retries 429/5xx with exponential backoff; an unreachable API exits non-zero with a clear message (best-effort service, see the dependency note above).
  • search calls /api/v1/agent/jobs/search (public, like the rest). A self-hosted instance older than that endpoint answers 404, and the CLI reports it as an error naming the endpoint — never as an empty result set.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Freehire Search AI skill do?

Use this skill to search live software / tech / data / engineering job listings across many countries and markets (and remote) via the freehire.me aggregator's public API, or to look up a specific posting. It aggregates roles from ~50 ATS platforms into one schema, so a single skill covers many markets — but its faceted filtering (skills, category, seniority) is tuned tech-first, so scope triggers to technical roles. Trigger phrases: find a tech job, software job search, developer jobs, engineering vacancies, data/ML jobs, DevOps roles, remote developer jobs, "are there any <tech role> jobs...

Why use Freehire Search on TypingMind?

Because you install it once and use it with any model. Freehire Search 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 Freehire Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MadsLorentzen/ai-job-search/tree/master/.agents/skills/freehire-search. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Freehire Search?

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 Freehire Search?

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

Is the Freehire Search AI skill free?

Yes. It is published on GitHub by MadsLorentzen 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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