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