Daily

Daily

Trigger

Keyword: daily

The user says daily (or variants: "routine", "check and apply", "check everything") and the full routine is triggered.

Purpose

Compose the news and apply flows with decision logic to keep the job search active without manual intervention. Designed to run 1-2 times per day.

Pre-flight

• [ ] Verify active LinkedIn and Gmail sessions. If session closed → open browser with wrapper (see AGENTS.md "Browser session"): node scripts/browser.js open --headed (Gold Rule 5) → notify user → wait for confirmation
• [ ] Browser: always use node scripts/browser.js for open/close/goto. See AGENTS.md "Browser session" for details. Never call playwright-cli open directly, never open Chrome directly
• [ ] Load active preferences (see memory skill):

``bash node scripts/db.js "SELECT category, key, value, confidence, source FROM preferences WHERE user_id = 1 AND status = 'active' ORDER BY category, key" ``

• [ ] Load strategy (see AGENTS.md "Strategy levels"):

``bash node scripts/db.js "SELECT data->'strategy' AS strategy FROM users WHERE id = 1" ` Respect: dailyfrequency (on-demand / 1x/day / 2x/day), sourcesactive (which pillars to activate), applybatchsize and targetsbatchsize (passed to sub-flows). If daily not in sources_active`, warn the user

Flow

1. News (check updates)

Run the full news flow:

• Review Gmail inbox + Job Alerts folder + LinkedIn messages/notifications
• Classify by fit (Must/Strong/Nice)
• If there are messages that require a response:
• Prepare drafts (Gold Rule 6)
• Present executive summary by priority
• Wait for user validation
• Send
• If no relevant updates: continue to step 2

2. Cleanup inbox

• Archive processed job emails (old alerts, read newsletters)
• Mark obvious spam as spam
• Don't archive unanswered recruiter messages

3. Decide whether to apply

Query DB via db CLI:

node scripts/db.js "SELECT max(applied_at) AS last_application FROM applications WHERE user_id = 1"

Decision logic respects strategy:

• If strategy.daily_frequency = on-demand → don't auto-run apply/targets, only run news
• If strategy.daily_frequency = 1x/day → run apply/targets if last application > 2 days ago
• If strategy.daily_frequency = 2x/day → run apply/targets if last application > 1 day ago
• Which pillar to run depends on strategy.sources_active:
• If apply in sources_active and apply_batch_size > 0 → run apply with N = apply_batch_size
• If targets in sources_active and targets_batch_size > 0 → run targets with batch = targets_batch_size
• Note: apply and targets internally run referrals as step 0 (warm sourcing pre-check) if referrals is in sources_active. No separate daily step is needed for referrals — it is embedded. Staged referral/outreach drafts are surfaced by the news step above.
• If last_application is recent enough → done. Report: "Last application: X. No need to apply today."

4. Final summary

Present the user with a consolidated session summary:

• Updates found and actions taken (replies sent, pending drafts)
• Inbox cleanup: how many emails archived
• Applications: how many new applications, table with company/role/URL
• If no applications: reason (recent activity)
• Pipeline overview: run node scripts/pipeline.js --funnel and include the funnel summary so the user sees the current state of all applications/contacts at a glance

Dependencies

• Depends on news (check updates, surface staged referral/outreach drafts)
• Depends on apply (apply if no recent activity)
• Depends on targets (alternative to apply for direct sourcing)
• Depends on referrals (embedded as step 0 of apply/targets when in sources_active)
• Depends on onboarding (DB to query last_application)
• Depends on profile (Must-haves for apply)

Automation notes

This flow is designed to eventually be automated via cron (GitHub Action scheduled or local cron that triggers a Devin cloud session with prompt daily). In the meantime, the user triggers it manually by saying daily.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: galiprandi
• Source: galiprandi/job-seeker
• License: MIT
• Homepage: https://galiprandi.github.io/job-seeker/

Install and usage instructions live in the source repository linked above.