Linkedin Apply

LinkedIn Apply Skill

Analyze a LinkedIn job offer against your candidate profile and get an LLM-powered decision: APPLY, REVIEW, or SKIP.

Let: VL := ~/.roxabi-vault/linkedin-apply/ SD := $CLAUDE_PLUGIN_ROOT/scripts/

Phase 1 — Validate Arguments and Prerequisites

Extract LinkedIn URL from $ARGUMENTS. ¬URL → "Usage: /linkedin-apply " → stop.

URL valid ⟺ contains linkedin.com ∧ (/jobs/view/ ∨ /jobs/).

Check prerequisites:

1. VL/candidate.yaml exists — ¬exists → run /linkedin-apply-init first
2. python3 -c "import playwright, playwright_stealth, jinja2" 2>&1 — missing → pip install playwright playwright-stealth jinja2 pyyaml
3. Playwright Chromium installed — missing → playwright install chromium

Phase 2 — Scrape the Job

cd <scripts_dir> && python3 scraper.py "<url>"

Capture stdout (JSON) + stderr (logs). Errors: SessionExpiredError → run /linkedin-apply-init; PlaywrightNotAvailableError → install playwright; JobNotFoundError → job no longer available; other → show message. Parse JSON output → job data dict.

Phase 3 — Load Candidate and Criteria

cat ~/.roxabi-vault/linkedin-apply/candidate.yaml

Criteria (user override ≻ plugin default): VL/criteria.yaml if ∃, else <plugin_dir>/config/criteria.yaml.

Phase 4 — Run LLM Matching

CV path: ~/.roxabi-vault/cv/cv_data.json if ∃, else construct minimal JSON from candidate.yaml.

# Tempfile per ${CLAUDE_PLUGIN_ROOT}/../shared/references/tempfile-convention.md
[[ "$JOB_ID" =~ ^[A-Za-z0-9_-]+$ ]] || { echo "Invalid job id: $JOB_ID" >&2; exit 1; }
TMPDIR=$(mktemp -d -t "linkedin-apply-job-${JOB_ID}-XXXXXX")
trap 'rm -rf "$TMPDIR"' EXIT
JOB_JSON="$TMPDIR/job.json"
echo '<job_json>' > "$JOB_JSON"
cd <scripts_dir> && python3 matcher.py \
  --job-json "$JOB_JSON" \
  --cv-json <cv_data_path> \
  --criteria-yaml <criteria_path> \
  --output json

Phase 5 — Save Results

cd <scripts_dir> && python3 -c "
import json, sys
from storage import save_analysis
# reconstruct dataclasses and call save_analysis(job, match)
"

Phase 6 — Display Results

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  DECISION: APPLY  |  Score: 7.8/10
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  Job:     <title> at <company>
  URL:     <url>
  Type:    <Easy Apply / External (ATS: greenhouse)>

  Scores:
    Tech:             8/10
    Seniority:        7/10
    Culture:          8/10
    Responsibilities: 8/10

  Dealbreakers: PASS

  Highlights:
  + <highlight 1>
  + <highlight 2>

  Prepare for:
  ? <expected question 1>
  ? <expected question 2>

  Summary: <analysis_summary>

  Saved to: ~/.roxabi-vault/linkedin-apply/applications/<path>
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

SKIP → show dealbreaker issues clearly. REVIEW → highlight what's uncertain/missing.

Notes

• Scraper uses visible browser (¬headless) for anti-bot reliability
• Browser profile ~/.config/linkedin_browser_profile persists session between runs
• Results stored in VL/applications/YYYY-MM/
• Phase 1 only: scraping + matching + display. Auto-application (Easy Apply form filling) is Phase 2.

$ARGUMENTS