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auto-pipeline

Convert job description URLs or text into A–G evaluation reports with PDFs and tracker updates.

Updated May 21, 2026
Search Tags:#automation#evaluation#resume tailoring#PDF generation#job description#application tracking#career ops
One-click install
npx skills add https://github.com/wahajahmed010/openclaw-skills --skill auto-pipeline
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-pipeline
Source: https://github.com/wahajahmed010/openclaw-skills/tree/main/skills/career-ops/skills/auto-pipeline
Command: npx skills add https://github.com/wahajahmed010/openclaw-skills --skill auto-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It removes the manual back-and-forth of evaluating a job description, generating the right application deliverables, drafting tailored responses, and recording everything for later follow-up.

Core Features & Use Cases

  • End-to-End JD Intake: Accepts a JD URL or raw text and extracts the relevant content (URL via Playwright with WebFetch fallback, and WebSearch as a last resort).
  • A–G Evaluation With Legitimacy (Block G): Runs the full scoring system, including legitimacy checks, to produce a structured evaluation report.
  • Application Output Generation: Saves a detailed report and generates a PDF using the configured CV output format (LaTeX pipeline or HTML/PDF pipeline), then drafts application answers when the score is strong.
  • Tracker Updates: Updates the applications tracker with completed and pending steps so the pipeline can be resumed safely.

Quick Start

Provide a job description URL or paste the job text and ask the agent to run auto-pipeline to produce the evaluation report, generate the PDF, draft answers if the score is at least 4.5, and update the applications tracker.

Frequently Asked Questions about auto-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate job description evaluation and resume tailoring from a URL?▼

Job description evaluation and resume tailoring can be automated by inputting a JD URL or text, which triggers an A–G scoring report, legitimacy checks, and automated PDF generation. The pipeline extracts JD content, scores it, and generates tailored application materials.

What is the best way to track job applications and generate PDFs simultaneously?▼

Tracking job applications and generating PDFs simultaneously is achieved through an automated career-ops pipeline that updates a tracker entry while producing a formatted PDF resume. It safely persists report data and tracker updates, allowing you to resume incomplete steps later.

Can I draft application answers automatically based on a job description score?▼

Application answers can be drafted automatically when the evaluation score reaches at least 4.5 out of the A–G grading scale. The pipeline evaluates the job description, scores it, and conditionally generates tailored application draft answers for strong matches.

Does the automated resume pipeline handle partial failures during PDF generation?▼

The automated resume pipeline handles partial failures during PDF generation by implementing graceful continuation. It safely persists completed evaluation reports and tracker updates, allowing the application workflow to resume from the last successful step without losing progress.

How do I extract job description content when the URL is blocked or inaccessible?▼

Job description content is extracted using Playwright first, with a WebFetch fallback, and WebSearch as a last resort if the URL is blocked. This multi-layered intake approach ensures reliable content extraction for the evaluation scoring system.

What PDF generation formats are supported for resume tailoring workflows?▼

Resume tailoring workflows support PDF generation through either a LaTeX pipeline or an HTML-to-PDF pipeline. The system triggers the appropriate PDF generation script based on your configured CV output format profile.

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