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Agent skill

Job Market Intel

by tinyfish-io in tinyfish-io/tinyfish-cookbook

Get a live job market snapshot for any role and tech stack by deploying parallel TinyFish agents across LinkedIn, Indeed, and Glassdoor.

MITAuto-check passedBusiness, Finance & HR

Install Job Market Intel

skills CLI
$ npx skills add tinyfish-io/tinyfish-cookbook --skill job-market-intel -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tinyfish-io/tinyfish-cookbook job-market-intel --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tinyfish-io/tinyfish-cookbook.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/job-market-intel .claude/skills/job-market-intel && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
job-market-intel
GitHub stars
2.2k
Token cost
~3.2k tokens
SKILL.md length
680 words
Files
1
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

Get a live job market snapshot for any role and tech stack by deploying parallel TinyFish agents across LinkedIn, Indeed, and Glassdoor.

  • Works in 3 steps: Search LinkedIn Jobs → Search Indeed → Search Glassdoor
  • A developer wants real salary data
  • SKILL.md covers Pre-flight Check (REQUIRED), What This Skill Does, Core Command and Step-by-Step Workflow, plus 6 more sections
  • Calls npm, go and python; reaches linkedin.com and indeed.com; needs TINYFISH_API_KEY

What it does

Job Market Intel is an agent skill from tinyfish-io/tinyfish-cookbook. Get a live job market snapshot for any role and tech stack by deploying parallel TinyFish agents across LinkedIn, Indeed, and Glassdoor. Use when a developer wants real salary data, in-demand skills, top hiring companies, and remote ratios from actual job postings published this week — not survey averages or historical data. Triggers on phrases like "what is the market paying for", "salary range for", "is my salary competitive", "what should I ask for", "what skills do I need for", "who is hiring for", "how…

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Job search and resumes. It works with LinkedIn, Bash and PowerShell. The repository describes itself as: A collection of sample apps and recipes built with the TinyFish web agent. Open-source examples for you to learn & build! The licence is MIT.

When your agent uses it

  • A developer wants real salary data
  • In-demand skills
  • Top hiring companies
  • Remote ratios from actual job postings published this week — not survey averages

Example prompts

  • “what is the market paying for”
  • “salary range for”
  • “is my salary competitive”
  • “/job-market-intel”

Requirements

  • Python 3
  • Node.js
  • A credential in TINYFISH_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Search LinkedIn Jobs
  2. Search Indeed
  3. Search Glassdoor

What it can do on your machine

Read from SKILL.md and the folder at commit 63cd841. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm
    • go
    • python
    • swift

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • linkedin.com
    • indeed.com
    • glassdoor.com

    Also links to:

    • agent.tinyfish.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • TINYFISH_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Job Market Intel loads about 3.2k tokens when it runs. Until then it costs about 183 tokens; SKILL.md has 680 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~183
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from tinyfish-io/tinyfish-cookbook at commit 63cd841, republished under its MIT licence (© tinyfish-io). 680 words, ~3,231 tokens.

Download SKILL.mdSave it as .claude/skills/job-market-intel/SKILL.md (or your agent's skills folder).
name
job-market-intel
description
Get a live job market snapshot for any role and tech stack by deploying parallel TinyFish agents across LinkedIn, Indeed, and Glassdoor. Use when a developer wants real salary data, in-demand skills, top hiring companies, and remote ratios from actual job postings published this week — not survey averages or historical data. Triggers on phrases like "what is the market paying for", "salary range for", "is my salary competitive", "what should I ask for", "what skills do I need for", "who is hiring for", "how in-demand is", "before I negotiate", "job market for", "what does a [role] make", or any request to research compensation or demand for a specific role and tech stack before a job search or negotiation.

Job Market Intel — Live Salary & Demand Data Before You Negotiate

You have access to the TinyFish CLI (tinyfish), a tool that runs browser automations from the terminal using natural language goals. This skill deploys agents across LinkedIn, Indeed, and Glassdoor in parallel, navigates login walls and search forms, and synthesizes live job listings into a single market snapshot.

Pre-flight Check (REQUIRED)

Before making any TinyFish call, always run BOTH checks:

1. CLI installed?

PowerShell:

powershell
Get-Command tinyfish; tinyfish --version

bash/zsh:

bash
which tinyfish && tinyfish --version || echo "TINYFISH_CLI_NOT_INSTALLED"

If not installed, stop and tell the user:

Install the TinyFish CLI: npm install -g @tiny-fish/cli

2. Authenticated?

bash
tinyfish auth status

If not authenticated, stop and tell the user:

You need a TinyFish API key. Get one at: https://agent.tinyfish.ai/api-keys

Then authenticate:

Option 1 — CLI login (interactive):

tinyfish auth login

Option 2 — PowerShell (current session only):

powershell
$env:TINYFISH_API_KEY="your-api-key-here"

Option 3 — PowerShell (persist across sessions):

powershell
[System.Environment]::SetEnvironmentVariable("TINYFISH_API_KEY", "your-api-key-here", "User")

Then close and reopen PowerShell for it to take effect.

Option 4 — bash/zsh (Mac/Linux):

bash
export TINYFISH_API_KEY="your-api-key-here"

Option 5 — Claude Code settings: Add to ~/.claude/settings.local.json:

json
{
  "env": {
    "TINYFISH_API_KEY": "your-api-key-here"
  }
}

Do NOT proceed until both checks pass.

What This Skill Does

Given a job title and tech stack (e.g. "Senior Backend Engineer, Go + Kubernetes"), this skill:

  1. Searches LinkedIn Jobs for matching postings, extracting salary ranges, seniority levels, and company names
  2. Searches Indeed for the same role, pulling compensation data and required skills from job descriptions
  3. Searches Glassdoor for salary data, company ratings, and remote/hybrid/onsite ratios

It then synthesizes all three sources into a structured market snapshot: what the role actually pays, which skills show up most, who is hiring, and whether remote is realistic.

Core Command

bash
tinyfish agent run --url <url> "<goal>"
Flags
FlagPurpose
--url <url>Target website URL
--syncWait for full result before returning
--asyncSubmit and return immediately
--prettyHuman-readable formatted output

Step-by-Step Workflow

Inputs Required

Before running, collect from the user:

  • Job title — e.g. Senior Backend Engineer, ML Engineer, Staff iOS Developer
  • Tech stack — e.g. Go Kubernetes, Python PyTorch, Swift SwiftUI
  • Location (optional) — e.g. San Francisco, Remote, London

Derive URL-encoded search strings from these inputs for each platform.

Step 1 — Search LinkedIn Jobs
bash
tinyfish agent run --sync \
  --url "https://www.linkedin.com/jobs/search/?keywords=<title+stack>&location=<location>&f_TPR=r604800" \
  "Extract the top 10 job listings as JSON: [{\"title\": str, \"company\": str, \"location\": str, \"salary_range\": str, \"posted_date\": str, \"remote_type\": str, \"url\": str}]. If salary is not shown, set salary_range to null. The f_TPR=r604800 filter means postings from the last 7 days — note the recency in each result."

Example for Senior Backend Engineer, Go + Kubernetes:

bash
tinyfish agent run --sync \
  --url "https://www.linkedin.com/jobs/search/?keywords=Senior+Backend+Engineer+Go+Kubernetes&location=Remote&f_TPR=r604800" \
  "Extract the top 10 job listings as JSON: [{\"title\": str, \"company\": str, \"location\": str, \"salary_range\": str, \"posted_date\": str, \"remote_type\": str, \"url\": str}]. Set salary_range to null if not listed."
Step 2 — Search Indeed
bash
tinyfish agent run --sync \
  --url "https://www.indeed.com/jobs?q=<title+stack>&l=<location>&fromage=7&sort=date" \
  "Extract the top 10 job listings as JSON: [{\"title\": str, \"company\": str, \"location\": str, \"salary_range\": str, \"required_skills\": [str], \"posted_date\": str, \"remote_type\": str, \"url\": str}]. Pull required_skills from the snippet or description preview shown in results. Set salary_range to null if not listed."

Example:

bash
tinyfish agent run --sync \
  --url "https://www.indeed.com/jobs?q=Senior+Backend+Engineer+Go+Kubernetes&l=Remote&fromage=7&sort=date" \
  "Extract the top 10 job listings as JSON: [{\"title\": str, \"company\": str, \"location\": str, \"salary_range\": str, \"required_skills\": [str], \"posted_date\": str, \"remote_type\": str, \"url\": str}]. Pull required_skills from visible description snippets."
Step 3 — Search Glassdoor
bash
tinyfish agent run --sync \
  --url "https://www.glassdoor.com/Job/jobs.htm?sc.keyword=<title+stack>&locT=N&locId=1&jobType=all&fromAge=7" \
  "Extract the top 10 job listings as JSON: [{\"title\": str, \"company\": str, \"company_rating\": str, \"salary_range\": str, \"location\": str, \"remote_type\": str, \"posted_date\": str, \"url\": str}]. Include company_rating (out of 5) if shown. Set salary_range to null if not listed."

Example:

bash
tinyfish agent run --sync \
  --url "https://www.glassdoor.com/Job/jobs.htm?sc.keyword=Senior+Backend+Engineer+Go+Kubernetes&locT=N&locId=1&jobType=all&fromAge=7" \
  "Extract the top 10 job listings as JSON: [{\"title\": str, \"company\": str, \"company_rating\": str, \"salary_range\": str, \"location\": str, \"remote_type\": str, \"posted_date\": str, \"url\": str}]."

Parallel Execution

All three steps are independent — run them simultaneously. Do NOT wait for LinkedIn before starting Indeed or Glassdoor.

bash/zsh — Parallel calls (Mac/Linux):

bash
tinyfish agent run --sync \
  --url "https://www.linkedin.com/jobs/search/?keywords=<title+stack>&location=<location>&f_TPR=r604800" \
  "Extract top 10 listings as JSON: [{\"title\": str, \"company\": str, \"location\": str, \"salary_range\": str, \"posted_date\": str, \"remote_type\": str, \"url\": str}]" \
  > /tmp/linkedin_results.json &

tinyfish agent run --sync \
  --url "https://www.indeed.com/jobs?q=<title+stack>&l=<location>&fromage=7&sort=date" \
  "Extract top 10 listings as JSON: [{\"title\": str, \"company\": str, \"location\": str, \"salary_range\": str, \"required_skills\": [str], \"posted_date\": str, \"remote_type\": str, \"url\": str}]" \
  > /tmp/indeed_results.json &

tinyfish agent run --sync \
  --url "https://www.glassdoor.com/Job/jobs.htm?sc.keyword=<title+stack>&locT=N&locId=1&jobType=all&fromAge=7" \
  "Extract top 10 listings as JSON: [{\"title\": str, \"company\": str, \"company_rating\": str, \"salary_range\": str, \"location\": str, \"remote_type\": str, \"posted_date\": str, \"url\": str}]" \
  > /tmp/glassdoor_results.json &

wait

PowerShell — Parallel calls using Start-Job / Wait-Job:

powershell
$linkedinJob = Start-Job {
    tinyfish agent run --sync `
      --url "https://www.linkedin.com/jobs/search/?keywords=<title+stack>&location=<location>&f_TPR=r604800" `
      "Extract top 10 listings as JSON: [{`"title`": str, `"company`": str, `"location`": str, `"salary_range`": str, `"posted_date`": str, `"remote_type`": str, `"url`": str}]"
}

$indeedJob = Start-Job {
    tinyfish agent run --sync `
      --url "https://www.indeed.com/jobs?q=<title+stack>&l=<location>&fromage=7&sort=date" `
      "Extract top 10 listings as JSON: [{`"title`": str, `"company`": str, `"location`": str, `"salary_range`": str, `"required_skills`": [str], `"posted_date`": str, `"remote_type`": str, `"url`": str}]"
}

$glassdoorJob = Start-Job {
    tinyfish agent run --sync `
      --url "https://www.glassdoor.com/Job/jobs.htm?sc.keyword=<title+stack>&locT=N&locId=1&jobType=all&fromAge=7" `
      "Extract top 10 listings as JSON: [{`"title`": str, `"company`": str, `"company_rating`": str, `"salary_range`": str, `"location`": str, `"remote_type`": str, `"posted_date`": str, `"url`": str}]"
}

Wait-Job $linkedinJob, $indeedJob, $glassdoorJob | Out-Null

$linkedinResults  = Receive-Job $linkedinJob
$indeedResults    = Receive-Job $indeedJob
$glassdoorResults = Receive-Job $glassdoorJob

Remove-Job $linkedinJob, $indeedJob, $glassdoorJob

Bad — Sequential calls (avoid):

bash
# Don't do this — three times slower, same results
tinyfish agent run --url "https://linkedin.com/..." "...also check Indeed and Glassdoor..."

Each platform is its own call. Always run in parallel.

Show full SKILL.md (276 more words)Show less

Step 4 — Synthesize Into a Market Snapshot

Once all three sources return results, synthesize findings into this structure:

## Job Market Snapshot: <Role> — <Stack>
As of: <current date> | Sources: LinkedIn · Indeed · Glassdoor

### Salary Range
- Low end:   $<X>k   (entry/mid, from listings with explicit salary data)
- Midpoint:  $<X>k   (most common range across listings)
- High end:  $<X>k   (senior/staff/principal listings)
- Sample size: <N> listings with salary data out of <total> scraped

### Top Hiring Companies
| Company | Platform | Rating | Remote? |
|---------|----------|--------|---------|
| ...     | ...      | ...    | ...     |

### Most Required Skills
(ranked by frequency across all listings)
1. <skill> — seen in X/30 listings
2. <skill> — seen in X/30 listings
...

### Remote Ratio
- Remote:        XX%
- Hybrid:        XX%
- Onsite only:   XX%

### Demand Signal
- Total listings found this week: ~<N>
- Platform with most postings: <LinkedIn / Indeed / Glassdoor>
- Trend note: <any notable pattern — e.g. most postings are contract, or salary listed in <20% of roles>

### Raw Listings Sample
<3–5 representative listings with title, company, salary, and URL>

### Negotiation Takeaway
<2–3 sentences: what this data means in a negotiation context — floor, target, and stretch numbers based on the listings>

Only use data returned by TinyFish. Do not estimate or fill in salary figures not present in the results. If salary data is sparse (fewer than 5 listings show it), say so explicitly and note which platform surfaces it most.

Keyword Strategy

Search quality depends on how you phrase the query. Derive 2–3 variants from the user's input:

Role + StackPrimary keywordsVariant keywords
Senior Backend, Go + K8sSenior Backend Engineer Go KubernetesBackend Engineer Golang cloud-native, Platform Engineer Go
ML Engineer, PyTorchMachine Learning Engineer PyTorchML Engineer deep learning Python, AI Engineer LLM PyTorch
Staff iOS, SwiftStaff iOS Developer Swift SwiftUISenior iOS Engineer Swift, iOS Architect SwiftUI
Frontend, React + TypeScriptSenior Frontend Engineer React TypeScriptFrontend Developer React Next.js, UI Engineer TypeScript

If the first pass returns fewer than 10 total listings across all platforms, run a second parallel pass with a variant keyword set.

Handling Login Walls

LinkedIn and Glassdoor may prompt for login. TinyFish handles this automatically when authenticated sessions are stored. If an agent returns a login page instead of results:

  1. Run tinyfish auth status to verify your session
  2. Re-authenticate with tinyfish auth login and select the affected platform
  3. Re-run the failed step individually before re-joining the parallel flow

Indeed typically does not require login for search result extraction.

Managing Runs

bash
# List recent runs
tinyfish agent run list

# Get a specific run by ID
tinyfish agent run get <run_id>

# Cancel a running automation
tinyfish agent run cancel <run_id>

Output Format

The CLI streams data: {...} SSE lines by default. The final result is the event where type == "COMPLETE" and status == "COMPLETED" — extracted data is in the resultJson field. Read output directly; no custom parsing script needed.

© tinyfish-io, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/job-market-intel of tinyfish-io/tinyfish-cookbook.

Open the folder on GitHubat commit 63cd841

Compare with similar skills

Job Market Intel next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Job Market Intel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Job Market Intel this skilltinyfish-io/tinyfish-cookbook2.2k—~3.2kAutomated safety check: PassMIT
Job Huntrebecha1227-a11y/CareerForge323—~2kAutomated safety check: WarnNone
Job Searchthesun4sky/jobstack156—~3.1kAutomated safety check: NotesMIT
Linkedin Jobs Searchbrowser-act/skills6.1k—~2.5kAutomated safety check: PassMIT
LinkedIn Job SearchMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: PassMIT
Job Application Managerreactive-resume/reactive-resume44k—~13kAutomated safety check: PassMIT

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Works with

Categories

Questions about Job Market Intel

What does Job Market Intel do?

Get a live job market snapshot for any role and tech stack by deploying parallel TinyFish agents across LinkedIn, Indeed, and Glassdoor. Job Market Intel is an agent skill from tinyfish-io/tinyfish-cookbook. Get a live job market snapshot for any role and tech stack by deploying parallel TinyFish agents across LinkedIn, Indeed, and Glassdoor.

When should I use Job Market Intel?

Job Market Intel fits situations like: A developer wants real salary data; in-demand skills; top hiring companies; remote ratios from actual job postings published this week — not survey averages.

How do I install Job Market Intel in Claude Code?

Run `npx skills add tinyfish-io/tinyfish-cookbook --skill job-market-intel -a claude-code`. Or copy the skill folder (skills/job-market-intel in tinyfish-io/tinyfish-cookbook) into .claude/skills/job-market-intel in your project. Claude Code loads it when a task matches its description.

How do I install Job Market Intel in Codex?

Run `npx skills add tinyfish-io/tinyfish-cookbook --skill job-market-intel -a codex`. Or copy the skill folder (skills/job-market-intel in tinyfish-io/tinyfish-cookbook) into .agents/skills/job-market-intel in your project. Codex loads it when a task matches its description.

Can I use Job Market Intel in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tinyfish-io/tinyfish-cookbook --skill job-market-intel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/job-market-intel, .gemini/skills/job-market-intel, .github/skills/job-market-intel and .opencode/skills/job-market-intel in your project.

What does Job Market Intel need to run?

Going by SKILL.md and its folder, Job Market Intel needs the command-line tools its instructions call (npm, go, python and swift) and credentials named TINYFISH_API_KEY. Our summary lists: Python 3; Node.js; A credential in TINYFISH_API_KEY.

Does Job Market Intel access the network?

SKILL.md names 4 domains. In commands or code: linkedin.com, indeed.com and glassdoor.com; the agent is likely to contact these when it follows the instructions. As links in the text: agent.tinyfish.ai. This is read from the text; nothing was executed.

Is Job Market Intel safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Job Market Intel use?

Job Market Intel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Job Market Intel use?

About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Job Market Intel?

Skills that share tags, products or a category with Job Market Intel: Job Hunt (rebecha1227-a11y/CareerForge, 323 stars), Job Search (thesun4sky/jobstack, 156 stars), Linkedin Jobs Search (browser-act/skills, 6.1k stars) and LinkedIn Job Search (MadsLorentzen/ai-job-search, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Job Market Intel?

tinyfish-io (a GitHub organization) maintains it in tinyfish-io/tinyfish-cookbook, which has 2,230 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 8, 2026.

Source: tinyfish-io/tinyfish-cookbook on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.