Career Ops

AI Job Search is an open-source, local job-application framework built around Claude Code or compatible agent tools. Users create a career profile, search and deduplicate job postings, evaluate and rank matches against structured fit criteria, and run `/apply` to produce tailored CVs and cover letters in LaTeX. The application pipeline uses a drafter–reviewer process: an agent evaluates the posting and drafts the materials, a second reviewer critiques them, and the workflow revises the output; `/interview` supports interview preparation, and optional salary benchmarking is included. The included portal-search skills target Danish services such as Jobindex, Jobnet, and Akademikernes Jobbank, while the profiling, fit-evaluation, and application workflow is described as language- and country-agnostic and adaptable to other job boards. It requires Python 3.10 or later, Bun for the job-search CLI tools, and a LaTeX distribution with `lualatex` and `xelatex`; an optional `pdftotext` installation supports the ATS parseability check for compiled CVs. The repository states that the project is independent of and unaffiliated with Anthropic or Claude Code.

Job Radar is a self-hosted job-monitoring tool that watches company career boards, detects new and closed postings, scores openings against a resume with an LLM, and sends alerts. It tracks companies across ATS platforms including Greenhouse, Lever, Ashby, Workable, Workday, and Oracle Recruiting Cloud; each job receives a stable ID so new and removed postings can be identified. Its scoring applies code-based seniority and relevance caps in addition to the model's 0–10 score and explanation. It provides daily email and desktop alerts for selected companies, a ranked weekly digest, terminal commands for scanning, alerting, recapping, and listing results, and a local web interface for searching and filtering jobs. The repository requires Python 3.11 or later and a Mac because its scheduled jobs use launchd. It accepts any OpenAI-compatible LLM endpoint, uses Gmail App Passwords for email, and includes an installer that registers daily and weekly schedules. The project is released under the MIT license.

Comp AI CRM is an open-source, self-hostable customer relationship management system for AI agents, developed by Comp AI and hosted by Try Comp AI. Its agent runs as an independent durable deployment on its own schedule and database-backed work queue rather than waiting for browser requests: it selects records to investigate, researches contacts and companies, spends a research budget, schedules follow-ups and rechecks, records observed evidence, and sends weak or ambiguous matches to a human instead of writing them directly to records. It supports durable sessions, contact and company records, an Agent tab for viewing work and answering questions, authored tools for reading CRM history, searching records, identifying contacts, researching people, enriching companies, recording facts and scheduling rechecks, and versioned Markdown skills. The agent uses file-based tools and Markdown skills on Vercel's eve durable-agent framework, while its queue leases due tasks with PostgreSQL row locking so concurrent workers claim disjoint work and expired leases release tasks from failed runs. A restricted shell sandbox provides bash, grep, glob and a workspace without network egress, database credentials or direct database access. Optional sources include mailbox history, company brand data, LinkedIn and Perplexity web research.

Agent Skills is an open-source collection of engineering workflows for AI coding agents, developed by Addy Osmani. It packages senior-engineering practices into skills covering the development lifecycle: defining specifications, planning, incremental implementation, testing and debugging, constraints, code review, web-performance auditing, code simplification, and shipping. Slash commands such as /spec, /plan, /build, /test, /review, and /ship activate the corresponding workflows, while skills can also activate automatically based on the work being performed. The /build workflow can generate a plan and implement its tasks in an approved pass, while retaining test-driven verification, individual commits, and pauses for failures or risky steps. It can be installed with the skills CLI or integrated into supported coding agents including Claude Code, Cursor, Codex, Copilot, and Cline.