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career-ops-openclaw

wahajahmed010

Career-Ops adapted for OpenClaw — AI-powered job search as native skills.

Open wahajahmed010/career-ops-openclaw → Checked against the four rules.

Does not say

no agent config and no instruction file at the root.

In its own words

Aboutwahajahmed010/career-ops-openclaw

16 sub-skills, scoring system, portal scanner, ATS PDF, interview prep, German locale. Fork of santifer/career-ops.

README.md

AI-powered job search pipeline, natively adapted for OpenClaw. Fork of santifer/career-ops (45K+ ⭐).

What It Does

Career-Ops turns your OpenClaw agent into a full job search command center:

  • Evaluate job offers with a structured A-G scoring system (6 weighted dimensions + posting legitimacy)
  • Auto-Pipeline — paste a JD URL, get full evaluation + tailored CV + tracker entry
  • Scan job portals automatically (Greenhouse, Ashby, Lever — zero-token API scanner)
  • Batch evaluate multiple jobs in parallel via subagents
  • Generate ATS-optimized PDFs and LaTeX CVs
  • Prep for interviews with STAR+R story banks
  • Track applications, analyze rejection patterns, manage follow-up cadences
  • Outreach — LinkedIn contact finder + message drafts
  • Research — deep company dives, comp analysis, cultural signals

Quick Start

2. Set Up Your Data

Copy the example profile and fill in your details:

3. Use It

Just talk to your agent naturally:

  • "Evaluate this job: [paste URL or JD text]"
  • "Scan for new ML engineer roles"
  • "Generate a PDF for the SpaceX application"
  • "Prep me for my Anthropic interview"
  • "What's my application tracker looking like?"

The skill router detects intent and routes to the right sub-skill.

Scoring System

Every evaluation uses a weighted 1-5 scale:

Block G (Posting Legitimacy) is assessed separately as High Confidence / Proceed with Caution / Suspicious.

The repository's own description, then 57% of its README. Read the rest on GitHub ↗

Where it came from

rebuilt from santifer/career-ops Open-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tai today

What this copy built: +references +scripts +skills — top-level directories this copy added on top of the original.

Read from the repository's git tree on 2026-08-17.