待翻譯：Show HN: Job Seeker – AI agent skills for job searching

AI 服務暫時不可用，以下為來源正文，待恢復後補全翻譯。

Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Folders and files NameName Last commit message Last commit date Latest commit History 62 Commits 62 Commits .agents/skills .agents/skills .github .github assets assets docs docs scripts scripts tests/browser tests/browser .gitignore .gitignore ADR.md ADR.md AGENTS.md AGENTS.md CONTRIBUTING.md CONTRIBUTING.md DATA.md DATA.md DESIGN.md DESIGN.md LICENSE LICENSE PLATFORMS.md PLATFORMS.md README.md README.md STRATEGIES.md STRATEGIES.md package-lock.json package-lock.json package.json package.json vitest.config.mjs vitest.config.mjs Repository files navigation Automate your job search with your favorite coding agent. If this project helps you land a job, give it a star. It helps others discover it too. Stop spending hours scrolling job boards. Job Seeker gives your AI agent the skills to search, filter, apply, and track jobs the way you would, but in minutes. Your agent reads your CV, learns your preferences, and handles the repetitive work, while you approve what matters. It's not an agent. It's a set of skills, guides, and scripts that any coding agent (Devin, Claude, Cursor, opencode) consumes to work on your behalf. Full documentation: https://galiprandi.github.io/job-seeker/ Demo https://github.com/galiprandi/job-seeker/releases/download/v0.1.0/demo-terminal.webm Pipeline kanban (node scripts/pipeline.js): The CLI prints a terminal kanban grouped by pipeline stage (discovered → hired), with match indicators (★ Must, ◆ Strong, ○ Nice), interview dates, and a closed summary. Use --closed to include rejected/withdrawn/skipped columns, --funnel for a bar chart, --move to move cards, and --card for full card detail with linked messages. Local dashboard (node scripts/dashboard.js --open): The dashboard visualizes your pipeline with a VitePress-inspired design, including KPI cards, a funnel chart, a kanban board, target-company groups, and recent messages. It also supports light and dark themes. The agent opens it at the end of each round so you can visually review the pipeline. It auto-refreshes every 30 seconds. Why Job Seeker? The average job seeker spends 5-8 hours per week scrolling job boards, filling repetitive forms, and tracking applications in spreadsheets. Job Seeker automates the boring part: Search your agent reads your profile and searches LinkedIn with your Must-have filters Apply Easy Apply forms filled automatically with your data from the DB (no guessing, no inventing) Track every application, message, and interview in a Postgres pipeline with a kanban view Reply recruiter messages drafted in your style, reviewed by you before sending Remember your preferences are detected automatically and stored for future sessions You stay in control. The agent does the grunt work. How it works You: "apply to 5 jobs" -> Agent loads your profile from DB -> Searches LinkedIn with your Must-have filters -> Applies via Easy Apply (form data from DB) -> Registers every application -> Shows you a summary Clone the repo Tell your agent: "run the onboarding skill" The agent opens a browser, asks you to log into Gmail and LinkedIn, creates your DB, and profiles your CV You say: "apply to 5 jobs" and the agent searches, filters, applies and records everything Your profile, preferences, writing style and history live in Postgres (Neon). Your browser session persists in a dedicated profile. Nothing sensitive is committed to the repo. The repo is candidate-agnostic: clone it, run onboarding, and everything you need is stored in your DB. No file in the repo contains personal data. Flows Flow Trigger What it does onboarding onboarding Bootstrap: browser with dedicated profile, Gmail + LinkedIn login, Neon DB, user data profile profile Profiling: CV + questionnaire (30 preferences with weights) + voice/style + platform selection strategy strategy Configure job search aggressiveness level. All flows respect it radar radar Passive sourcing: register on job boards, configure alerts, Gmail filter to Job Alerts folder targets targets Active direct sourcing: register and create standout profiles on target companies' career sites, then apply to matching positions news news Review updates in Gmail, LinkedIn and platforms. Prepare drafts, executive summary by priority, hybrid validation and auto-send apply apply Search jobs on LinkedIn, filter by Must-haves, apply via Easy Apply, register in DB daily daily Periodic routine: runs news -> inbox cleanup -> applies if no recent activity memory (always on) Autonomous preference detection, storage and injection. Detects preferences from conversation, saves to DB, loads active ones at the start of every flow dashboard dashboard Opens a local web dashboard with kanban, funnel, stats, messages, and target companies. Auto-refreshes every 30s Tools (not flows): Tool Location Usage playwright-cli scripts/browser.js wrapper Browser automation: open/close/goto/tabs/sessions via wrapper. Other commands (click, fill, snapshot) via exec or direct call db scripts/db.js Safe Postgres CLI. Reads DATABASE_URL from .env, JSON output, read-only by default (--write for writes) pipeline scripts/pipeline.js Kanban board CLI for application tracking. Print board, move cards, view funnel, card details dashboard scripts/dashboard.js Local web dashboard. Serves at http://localhost:7531. The agent opens it at the end of a round Who is this for? Works best for tech professionals who use LinkedIn as their primary job platform and Gmail for email. The system is designed to be extensible to other platforms. Requirements Node.js 22+ npx A LinkedIn account A Gmail account A Postgres database (Neon recommended, free tier works) npm install handles all dependencies, including playwright-cli and pg. Quick Start git clone https://github.com//job-seeker.git cd job-seeker npm install Create .env with your connection string: DATABASE_URL=postgresql://user:[email protected]/dbname?sslmode=require Open your coding agent in the repo and say: "run the onboarding skill" After onboarding, try: "profile" - set up your professional profile "strategy" - configure your search aggressiveness "apply to 5 jobs" - search and apply "news" - check for updates from recruiters Platforms PLATFORMS.md is a catalog of 35 platforms in 5 categories (general, tech, AI, executive, latam), community-maintained. The agent consults it to decide where to search based on your profile. You don't choose platforms, the agent deduces them. Stack Browser: playwright-cli (installed via npm install). Persistent profile, headless by default DB: PostgreSQL via Neon (cloud). Portable across machines Node: pg for DB access, playwright-cli for browser automation Skills: Markdown in .agents/skills/. Universal, not tied to one agent Tests: Vitest for browser wrapper and script tests Structure .agents/skills/ # Skills consumed by any agent apply/SKILL.md # Job search and application daily/SKILL.md # Periodic routine db/SKILL.md # Safe Postgres CLI usage memory/SKILL.md # Autonomous preference detection and injection news/SKILL.md # Updates review and follow-up onboarding/SKILL.md # Onboarding profile/SKILL.md # Profiling radar/SKILL.md # Passive sourcing (alerts) strategy/SKILL.md # Search aggressiveness configuration targets/SKILL.md # Active direct sourcing scripts/ # Automation scripts browser.js # Browser wrapper (open/close/goto/tabs/sessions) db.js # Safe Postgres CLI linkedin-search.js # Search LinkedIn posts for job openings linkedin-invite.js # Send LinkedIn connection requests linkedin-easy-apply.js # Search + apply to Easy Apply jobs gmail-send.js # Send emails via Gmail web UI with CV attached pipeline.js # Kanban board CLI for application tracking dashboard.js # Local web dashboard (serves at localhost:7531) easy-apply-helper.sh # Helper for Easy Apply form filling templates/ # ATS-specific apply playbooks teamtailor-apply.md # Teamtailor application flow humand-apply.md # Humand.co application flow tests/browser/ # Vitest tests for browser wrapper 01-syntax-config.test.mjs # Config and syntax validation 02-failfast.test.mjs # Fail-fast behavior 03-lifecycle.test.mjs # Browser lifecycle 04-tabs.test.mjs # Tab management 05-sessions.test.mjs # Session management 06-parallel.test.mjs # Parallel subagent sessions 07-state-debug.test.mjs # Auth state and debugging helpers.mjs # Test helpers assets/ # Visual assets for README social-preview.png # Social preview image (1280x640) pipeline-demo.png # Pipeline kanban screenshot demo-terminal.webm # Demo video of apply flow vitest.config.mjs # Vitest configuration .playwright/cli.config.json # playwright-cli config (timeouts, blocked domains) .env # DATABASE_URL (not tracked) .browser-profile/ # Chrome profile with sessions (not tracked) .playwright-cli/ # Snapshots and logs (not tracked) PLATFORMS.md # Platform catalog (community) STRATEGIES.md # Job search and networking strategies (ordered by effectiveness) DATA.md # Data map: tables, JSONB keys, flow ownership ADR.md # Architecture decisions AGENTS.md # Operational rules + Gold Rules DESIGN.md # Design tokens (placeholder, no UI yet) CONTRIBUTING.md # How to contribute LICENSE # MIT Key decisions See ADR.md for details. Summary: playwright-cli over MCP: native CLI, no JSON config, token-efficient Postgres over Mongo: 70% of data is relational. JSONB for semi-structured Neon for portability: clone on another machine, same DATABASE_URL, same profile npx over global installs: zero friction on clone Headless by default: headed only for manual login and 2FA Skills in .agents/skills/: universal format, works with any agent Disclaimer Disclaimer: This tool automates browser interactions with job platforms. Review the Terms of Service of each platform before use. The authors are not responsible for account restrictions resulting from automated activity. Use responsibly. Contributing Contributions are welcome. See CONTRIBUTING.md for guidelines. Areas where help is most useful: PLATFORMS.md: add platforms with the fields from the existing table Skills: improve existing checklists, rules, and step-by-step detail Scripts: add support for new ATS platforms, improve form-filling logic Tests: expand browser wrapper coverage, add script tests ADR: append-only. To reverse a decision, add a new ADR that supersedes it License MIT - use it, fork it, contribute. Topics Resources Readme MIT license Contributing Contributing Activity Stars 1 star Watchers 0 watching Forks 0 forks Report repository