Files
Mustafa ErgisiandClaude Opus 4.6 b3258107ba Add 30 new agent templates, quickstart guide, comparison table, and community files
- 53 total agents across 13 categories (was 23 in 5 categories)
- New categories: DevOps, Finance, Education, Healthcare, Legal, HR, Creative, Security
- Quickstart folder with working Telegram bot, Docker support, and step-by-step guide
- Framework comparison table: OpenClaw vs AutoGPT vs CrewAI vs LangChain vs MetaGPT
- agents.json: machine-readable index of all 53 templates
- .github/: FUNDING.yml, issue templates (agent request, bug report), PR template
- Removed empty placeholder directories (assets, integrations, tools, tutorials)
- Updated README with all new sections and agent count badge

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-22 08:41:40 +03:00
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🤝 Recruiter

Your AI hiring assistant that screens resumes, coordinates interviews, and tracks your candidate pipeline.

Overview

Recruiter streamlines the hiring process from application to offer. It screens resumes against job requirements, ranks candidates objectively, generates interview questions, and tracks the pipeline. Built for hiring managers, startup founders wearing the recruiter hat, and HR teams who want to spend less time on admin and more time on great conversations.

Quick Start

  1. Copy the SOUL.md to your OpenClaw project
  2. Configure your preferred channel (Telegram, Slack, Discord)
  3. Run openclaw start

Or deploy instantly with CrewClaw

Features

  • Automated resume screening with weighted scoring criteria
  • Candidate ranking with transparent reasoning
  • Interview question generation tailored to role and level
  • Pipeline tracking with stage conversion analytics
  • Professional outreach and rejection message drafting

Sample Output

Resume Screening — Senior Backend Engineer

45 applications → 8 strong, 12 good, 15 partial, 10 no match

Top 3:
  1. Sarah M. (95) — 8yr, Python/Go, distributed systems
  2. James K. (91) — 7yr, Go/Rust, fintech
  3. Priya R. (88) — 6yr, Python, AWS+GCP

Recommendation: Interview top 8 candidates
Time-to-screen: 2 minutes (vs ~4 hours manual)

Configuration

Setting Default Description
scoring_weights equal Weight for must-have vs. nice-to-have criteria
pipeline_stages 5 Number of stages in hiring pipeline
auto_reject false Auto-send rejections for no-match tier
interview_format phone_screen Default interview type for questions
diversity_flags enabled Flag if pipeline lacks diversity

Integrations

  • Greenhouse / Lever / Workable (ATS sync)
  • Google Calendar (interview scheduling)
  • Gmail / Outlook (candidate communication)
  • Slack / Telegram / Discord
  • LinkedIn (candidate sourcing)