How do I install the Job Market Intelligence skill?

Run npx skillmds@latest add aibot88/job-market-intelligence in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Job Market Intelligence safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Job Market Intelligence?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Job Market Intelligence free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Job Market Intelligence?

aibot88 (@aibot88) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Job Market Intelligence by aibot88 — Agent Skill

Name: Job Market Intelligence
Rating: 4.666666666666667 (3 reviews)
Author: aibot88

Job Market Intelligence

Uses Claude CLI (WebSearch tool) to find new Data Science and Gen AI job postings across Bengaluru, Hyderabad, Mumbai, and Delhi NCR, scores them by relevance and location weight, stores results in SQLite, generates HTML dashboards, and sends a WhatsApp summary. Use when asked about new job openings, where to apply, or the job market in DS/Gen AI.

aibot88 Updated Sep 9, 2026 3 repo stars

File contents

Job Market Intelligence Agent

Description

Use this skill when the user asks to:

Find new Data Science or Gen AI jobs
Show where to apply today
Search for ML / LLM / AI Engineer roles in India
Check what companies are hiring right now
Run the job scout manually
Get a fresh list of job postings

Tool: find_new_jobs

Runs Claude CLI with the WebSearch tool using the prompt in prompt.txt. Claude searches LinkedIn, Naukri, Glassdoor, and Indeed for recent postings, returns structured JSON, which is scored by role relevance and location weight, deduplicated against history, stored in SQLite, rendered as HTML dashboards, and summarised via WhatsApp.

Usage

cd /home/zain/zainclaw/job_scout
python3 job_scout.py

Output

Latest run dashboard: https://claw.mohdzain.com/apply-jobs/latest.html
All jobs (filterable): https://claw.mohdzain.com/apply-jobs/all.html
SQLite database: /home/zain/zainclaw/job_scout/data/jobs.db
WhatsApp message with top picks and dashboard links
Console output with new job count and top picks

Roles searched

Data Scientist, Gen AI Engineer, ML Engineer, LLM Engineer, AI Researcher

Locations searched (with relevance weights)

Location	Weight
Bengaluru	0.40
Delhi / NCR	0.25
Hyderabad	0.20
Mumbai	0.15
Remote India	0.35

Scoring

Base score: 50
Gen AI / LLM in title: +20
Gen AI / LLM in tags: +12
ML / DS in title: +10
Location weight contribution: weight × 30 (e.g., Bengaluru adds +12)
Remote tag: +5 bonus
Max score: 100 · Top picks threshold: ≥ 75

Candidate profile filter

Target experience: 2–3 years (mid-level individual contributor)
Skips: fresher, trainee, intern, graduate, campus hire, 0–1 yr roles
Skips: Lead, Principal, Director, VP, Head of (5+ yr roles)

Notes

Runs automatically every other night at 12:00 AM IST via cron
applied status is tracked in the browser via localStorage (no backend needed)
Jobs are deduplicated by sha256(title + company) across all runs
Claude CLI invoked via subprocess with --allowedTools WebSearch
Search prompt lives in prompt.txt — edit it to tune searches without touching the script
Requires CLAUDE_BIN and WHATSAPP_NUM in .env

---name: job-market-intelligencedescription: Uses Claude CLI (WebSearch tool) to find new Data Science and Gen AI job postings across Bengaluru, Hyderabad, Mumbai, and Delhi NCR, scores them by relevance and location weight, stores results in SQLite, generates HTML dashboards, and sends a WhatsApp summary. Use when asked about new job openings, where to apply, or the job market in DS/Gen AI.--- # Job Market Intelligence Agent ## Description Use this skill when the user asks to: - Find new Data Science or Gen AI jobs - Show where to apply today - Search for ML / LLM / AI Engineer roles in India - Check what companies are hiring right now - Run the job scout manually - Get a fresh list of job postings ## Tool: find_new_jobs Runs Claude CLI with the WebSearch tool using the prompt in `prompt.txt`. Claude searches LinkedIn, Naukri, Glassdoor, and Indeed for recent postings, returns structured JSON, which is scored by role relevance and location weight, deduplicated against history, stored in SQLite, rendered as HTML dashboards, and summarised via WhatsApp. ### Usage ```bash cd /home/zain/zainclaw/job_scout python3 job_scout.py ``` ### Output - Latest run dashboard: https://claw.mohdzain.com/apply-jobs/latest.html - All jobs (filterable): https://claw.mohdzain.com/apply-jobs/all.html - SQLite database: `/home/zain/zainclaw/job_scout/data/jobs.db` - WhatsApp message with top picks and dashboard links - Console output with new job count and top picks ### Roles searched Data Scientist, Gen AI Engineer, ML Engineer, LLM Engineer, AI Researcher ### Locations searched (with relevance weights) | Location | Weight | |----------------|--------| | Bengaluru | 0.40 | | Delhi / NCR | 0.25 | | Hyderabad | 0.20 | | Mumbai | 0.15 | | Remote India | 0.35 | ### Scoring - Base score: 50 - Gen AI / LLM in title: +20 - Gen AI / LLM in tags: +12 - ML / DS in title: +10 - Location weight contribution: weight × 30 (e.g., Bengaluru adds +12) - Remote tag: +5 bonus - Max score: 100 · Top picks threshold: ≥ 75 ### Candidate profile filter - Target experience: 2–3 years (mid-level individual contributor) - Skips: fresher, trainee, intern, graduate, campus hire, 0–1 yr roles - Skips: Lead, Principal, Director, VP, Head of (5+ yr roles) ### Notes - Runs automatically every other night at 12:00 AM IST via cron - `applied` status is tracked in the browser via localStorage (no backend needed) - Jobs are deduplicated by sha256(title + company) across all runs - Claude CLI invoked via subprocess with `--allowedTools WebSearch` - Search prompt lives in `prompt.txt` — edit it to tune searches without touching the script - Requires `CLAUDE_BIN` and `WHATSAPP_NUM` in `.env`

Frequently asked questions