CV Tailor

CV Tailor

Use this skill when the user asks to tailor a CV for a specific role, using:

• Job posting URL
• Copied JD text
• Screenshot/​photo of JD text (OCR/​vision-capable flow)

Inputs accepted from Telegram

1. Job URL
2. JD pasted text
3. JD image/​capture

If image text cannot be read reliably, ask user for pasted text fallback.

Built-in resources

• file_skill.ts: safe read/​write/​list helper rooted at ~/​openclaw_pro
• prompts/​ATS_ALIGNMENT_ENGINE.md
• prompts/​IMPACT_REFRAMING_ENGINE.md
• scripts/​export_bullets_to_drive.sh
• scripts/​cv_model_mode.sh

Standard runbook

1. Enter CV high-quality model mode (required):
   • bash scripts/​cv_model_mode.sh start
2. Parse JD from URL/​text/​image.
3. Run ATS alignment analysis (keyword gaps, bullet rewrites, skills list).
4. Run impact reframing (summary + before/​after impact bullets).
5. Read master_cv.md and tailor truthfully.
6. Save full version to cv/​CV_[Company]_[Role].md.
7. Produce bullet-only version for copy/​paste.
8. Upload bullet file to Google Drive (optional):
   • bash scripts/​export_bullets_to_drive.sh "$HOME/​openclaw_pro/​cv/​CV_[Company]_[Role].md"
9. Report saved local path + Drive file link/​id.
10. Exit CV high-quality model mode (required, always run even on failure):
    • bash scripts/​cv_model_mode.sh end

Safety constraints

• Never fabricate experience, projects, skills, or credentials.
• Keep claims grounded in user-provided CV/​history only.
• For unknown metrics, request estimate or use qualitative impact.

Quality mode (CV-only)

• CV tasks must use google/​gemini-2.5-pro while the task is running.
• Normal tasks should remain on stable default (google/​gemini-2.5-flash).
• If provider outage/​rate-limit forces fallback, explicitly report fallback in response.