Reviews resumes, CVs and LinkedIn profiles the way recruiters screen them: first-impression scans, ATS compatibility, rejection-pattern diagnosis and interview prep. Never invents a metric.
0 on GitHubby Abdul Rahman P Zv1.0.0MITupdated 2 days ago
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Plugin recruiter-lens from marketplace caffeinity-skills in arm-pz/caffeinity-skills. Commands read from the repo's manifest — yesterday.
What it installs
Skills (1)
recruiter-lens
Review resumes, CVs, cover letters and LinkedIn profiles the way recruiters commonly screen them, and prepare candidates for interviews. Use when the user shares or asks about job-search materials: why a resume is not getting interviews, a quick first-impression scan, ATS compatibility or keyword fi
Audits AI agents and Claude Code subagents against the seven layers a production agent needs: model, instructions, tools, memory, loop, guardrails and human approval, with a linter and delegation tests.
Produces tailored job-application material: decoded JD table, action-task-result-impact bullet rewrites, honest keyword placement map, five role-specific summaries, full LinkedIn rewrite, and a 20-question interview answer pack. Sibling of recruiter-lens: it produces while recruiter-lens judges. Never invents experience or numbers.
Runs the job search around the applications: search brief, role discovery with honest posting dates, rubric-based fit scoring, a reviewable CSV or Markdown tracker, follow-up drafts, interview briefings and a funnel review. Never submits, invents nothing, and has no CLI, telemetry, or browser automation. Coordinates with applicant-kit and recruiter-lens.
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Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
Web scraping, Google search, structured data extraction, and MCP server integration powered by Bright Data. Includes 7 skills: scrape any webpage as markdown (with bot detection/CAPTCHA bypass), search Google with structured JSON results, extract data from 40+ websites (Amazon, LinkedIn, Instagram, TikTok, YouTube, and more), orchestrate Bright Data's 60+ MCP tools, built-in best practices for Web Unlocker, SERP API, Web Scraper API, and Browser API, Python SDK best practices for the brightda...
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Organic LinkedIn presence, end to end, with LinkedIn's own rules enforced in code. Orchestrator (context: fork) gates every request against User Agreement §8.2 — refusing automation, scraping, engagement pods, bulk DMs, fake identity and fabricated proof, each with a compliant substitute — then routes to profile / strategy / content / engagement / analytics. Headline and whole-profile scoring with fixes ranked by points per hour; positioning brief with a mandatory exclusion list; cadence priced against real hours with a 90-minute floor; newsletter eligibility + six-month sustainability gate; post linter blocking on engagement bait and screen-reader-hostile Unicode pseudo-bold; repurposing with a reuse ledger; capped commenting roster and template-refusing outreach; analytics that test patterns against a seeded permutation null and refuse to conclude below 10 posts. 17 stdlib tools, 15 references with per-claim confidence levels. No credentials, no API calls, nothing auto-sent. Answers discussion #934.
6 skills · 8 commands · 2 agents
alirezarezvani/claude-skills 29,725
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